
See how AI-powered progress tracking helps data center teams identify schedule risks earlier and build with confidence.
Doxel is heading to Singapore for Data Centre World Asia 2026, taking place September 29–30 at the Sands Expo & Convention Centre as part of Singapore Technology Week. As an LED Wall Sponsor, Doxel will showcase how AI-powered Work-in-Place (WIP) tracking and schedule analytics help project teams identify schedule risks earlier, improve coordination, and make faster decisions throughout construction. Come visit us at booth 3G2.
Southeast Asia's data center pipeline has moved fast over the past two years. Singapore is a central hub for hyperscalers, colocation providers, and contractors racing to deliver capacity across a region where power, land, and skilled labor are tighter constraints than in more established markets.
That pressure shows up on the jobsite. Compressed schedules, fragmented regional supply chains, and delivery models that vary market to market all make it harder to know, with any confidence, where a project actually stands. Teams are still leaning on manual walk-throughs and self-reported updates to answer a basic question: is the work installed, and is it on pace with the plan?
Data Centre World Asia brings the people wrestling with that question into one room — five concurrent tracks covering the Global Stage, Keynote Theatre, Energy Security & Efficiency, Critical Infrastructure, and OCP Tech Day. It's a good cross-section of where APAC data center construction is headed, and exactly the audience we built Doxel for.
Doxel turns weekly site walks into objective, component-level progress data, tracking installed work against the plan, flagging schedule risk early, and giving owners, GCs, and trade partners a shared, factual view of where a project stands. No more disputes over whose version of “done” is right.
Teams using Doxel get:
• Automated progress tracking tied directly to the schedule
• Earlier visibility into delays, before they become critical-path problems
• A single source of truth that keeps owners, GCs, and trades aligned
• Benchmarking across projects to spot where production is slipping
For a region building as many facilities, as fast as APAC is right now, that kind of visibility isn't a nice-to-have; it's what keeps a portfolio of projects on schedule.
Doxel's team will be at booth 3G2 throughout the show: Spencer Clayton, Dom Pound-Palmieri, Jesse Gill, Hamza Abukar, and Sridhar Rengasamy, our APAC Lead. Sridhar has spent years working on large-scale infrastructure projects across Southeast Asia and is happy to share his expertise on the region.
If you're attending Data Centre World Asia and want to talk about a live or upcoming project, stop by booth 3G2 or reach out to Sridhar on LinkedIn to set up time.
We'll see you in Singapore.


LCI Congress 2026 is the place to be to see how AI-powered progress tracking gives Lean construction teams objective visibility into project progress, helping improve planning, coordination, and delivery.
Doxel is excited to return as a sponsor of LCI Congress 2026, where owners, contractors, designers, and Lean practitioners will explore the strategies and technologies shaping the future of project delivery. Taking place October 12-16, 2026, in Atlanta, Georgia, LCI Congress brings together construction leaders focused on improving collaboration, reliability, and continuous improvement.
Date: Thursday, October 15, 2026, 3:45-4:30 PM

Panelists:
- Moderator - Chris Vine, LCI-CPC, DBIA, CM-Lean Champion, Project Superintendent, Hensel Phelps
- Speaker - Brandon Bergener, Sr. Superintendent, Layton Construction Company LLC
- Speaker - John Rewolinski, Head of Schedule Analytics, Doxel
Lean construction depends on accurate, timely information. Yet many teams still rely on manual jobsite walks and spreadsheets to understand project status.
Doxel's AI-powered Work-in-Place (WIP) tracking gives Lean teams objective, real-time visibility into construction progress, helping project teams compare plan versus actual performance, improve coordination, and identify schedule risks earlier.
Whether supporting Last Planner System®, Takt planning, or flow reliability, Doxel provides trusted progress intelligence that helps teams make faster, more informed decisions.
Stop by Booth #113 to learn how leading construction teams are using AI-powered progress tracking to:
We're also proud to sponsor the LCI Congress Golf Tournament, including Hole #6 and the TaylorMade Golf Kit giveaway.
LCI Congress 2026 | October 12-16, 2026
Signia by Hilton | Atlanta, Georgia
Visit Booth #113 to how AI-powered progress tracking is helping teams deliver projects with greater certainty, consistency, and confidence.

The conference brings together leaders focused on solving the biggest challenges in AI infrastructure, including prefabrication, digital construction, power availability, and accelerated project delivery.
Doxel is heading to the Builtworlds Buildings Conference: Data Centers & AI Infrastructure to demonstrate how AI-powered progress tracking helps owners and contractors reduce schedule risk and accelerate data center delivery.
AI infrastructure projects are growing larger, faster, and more complex, making objective progress visibility more important than ever.
The event takes place September 30 to October 1 in Nashville, Tennessee. As a Premier Sponsor, Doxel will showcase how AI-powered Work-in-Place (WIP) tracking and schedule analytics help project teams identify schedule risks earlier, improve coordination, and make faster decisions throughout construction.
Thursday, October 1 | 2:10 PM – 2:50 PM

Speakers
What is reality on your jobsite? Your P6 says one thing, your trade partners say another. On a hyperscale data center, having near real-time, objective progress data helps you make better decisions to stay on schedule. In this session, a DPR superintendent and Doxel product leader share real stories from the field: catching a piping trade's slide months before it became a crisis, discovering security rough-ins installed three feet off design, and proving drywall was way ahead of schedule to a skeptical client with a single click.
Join Reid Senescu and Mike Miller as they share how computer vision turns weekly 360° site walks into objective, component-level progress data that keeps trades on plan, settles disputes with evidence instead of arguments, and drives the coordination conversations that build data centers faster. You'll leave with practical adoption lessons—including why a dashboard on the wall beats a hyperlink in an inbox every time.
This year's conference focuses on the challenges shaping modern AI infrastructure, including prefabrication, digital construction, power availability, and project delivery. These priorities align closely with Doxel's AI-powered Work-in-Place (WIP) tracking and schedule analytics, giving project teams objective insight into progress so they can reduce risk and make faster decisions.
Visit Doxel during the conference to learn how leading data center teams are using AI to:
We look forward to connecting with owners, contractors, and technology leaders at BuiltWorlds to discuss how AI-powered progress tracking is helping deliver the next generation of data centers with greater certainty.
Doxel is thrilled to partner with Corscale in revolutionizing the landscape of data center construction, setting a new standard for the industry.
Gainesville, VA – (November, 2023) – Corscale, the exclusive data center platform of the Patrinely Group, has announced that it will be deploying Doxel, the leader in AI automated construction progress tracking to speed the pace of construction and reduce waste on upcoming data center construction.
“Corscale is focused on implementing industry leading construction and sustainability initiatives. We are committed to building efficiently. Doxel will help us accelerate construction schedules and deliver critical data centers faster.” said Nic Bustamante, Chief Technology Officer for Corscale. Prior to his current position, Nic was the Senior Vice President of Development at Corscale and held leadership roles at Apple, Google, and Microsoft.
The rise in artificial intelligence, specifically Natural Language Processing (NLP), computer vision, and machine learning, and robotics, is increasing the already strong demand for data center solutions. Corscale will now harness the power of AI to build the data centers that deliver AI.
“Doxel is thrilled to partner with Corscale in revolutionizing the landscape of data center construction. Corscale’s commitment to industry-leading initiatives aligns with Doxel’s mission to transform construction through the power of AI. We aim to enhance the efficiency and sustainability of constructing data centers, setting a new standard for the industry. This collaboration represents a significant stride toward the future, where AI not only powers data centers but also drives their seamless and sustainable construction.” – Saurabh Ladha, CEO of Doxel.
The partnership with Doxel reflects Corscale’s forward-thinking approach to stay at the forefront of technological advancements. By incorporating AI into the construction process, Corscale not only meets the rising demand for data center solutions but also pioneers a path toward intelligent, sustainable, and swift data center deployment.
Corscale Data Centers is focused on delivering sustainability at scale. As the exclusive data center platform of the Patrinely Group, Corscale, together with its capital partner USAA Real Estate is delivering tomorrow’s data center, today. The company has assembled a top-tier team of industry professionals who bring decades of experience designing, building, and operating sustainable, high-density data centers for some of the largest and most sophisticated hyperscale operators and enterprises. Corscale delivers highly scalable, secure, and energy-efficient build-to-suit powered shells as well as flexible modular deployments. To learn more, please visit Corscale.
Doxel is focused on speeding up construction and reducing waste by using AI to automate progress tracking. Doxel believes in the power of aligned teams and designed Doxel to unlock their full potential. With Doxel, owners have full observability on their site while providing their field teams with powerful tools that prevent delays, over-billing, re-work, and trade stacking. Backed by Insight Partners, Amplo, and Andreessen Horowitz and with a growing team of engineers, scientists and construction veterans, Doxel is driven to help their customers win.
For media inquiries, please contact:
Corscale Media Relations
press@doxel.ai
Doxel Media Relations
press@doxel.ai
Accurate, reliable data allows construction companies to remove subjectivity and replace it with objective accountability.
Communication can make or break a construction project. A report from the Project Management Institute found that ineffective communication was the main contributor to project failure one-third of the time. An even more alarming finding from the research is that 56% of budgets allocated to projects are at risk due to poor communication.
Without objective insights alignment among field and office teams, knowing what’s happening on a project becomes a daunting task—one that could put a project (and its profitability) at risk.
1. Delayed communication
Timely communication (especially between the field and the office) is hard to achieve. Field teams are focused on a hundred different things at once, and relaying project updates typically happens at the end of their day. Because field leaders aren’t able to instantly communicate every facet of a project’s progress as it happens, there is a lag time and gap in each day’s reporting.
2. Inconsistent communication
In addition to being delayed, communication from the field to the office isn’t always consistent. The more variables and people added to the equation, the more potential for confusion and uncertainty. Communication on a project can very quickly turn into a game of telephone—and teams are forced to hold more meetings and conversations to ensure mutual understanding.
3. Missing communication
While delayed and inconsistent communication can hold a project back, missing communication can halt it entirely. If proper communication isn’t happening, neither is profitable building.
All these challenges in communication don’t just create extra stress and work on a project—they can have a deeper impact on the data and tracking, too. Without everyone on the same page, the reporting and insights are left to everyone’s individual perspective. As a result, the project’s insights suffer.
Accurate, reliable data allows construction companies to remove subjectivity and replace it with objective accountability. Insights that are trackable and consistent bring everyone together on the same page to make informed decisions, faster.
Improve communication and progress tracking
Streamline billing and accountability
The key to collecting reliable insights is through automated progress tracking. The right tool can increase team alignment and communication, without adding effort to the project team’s plate.
Doxel brings predictability to construction projects by providing critical insight with objective analytics. The AI-powered computer vision builds a digital twin of the jobsite on a weekly basis—providing true progress reporting and near real-time data. Doxel acts as a digital surveyor to capture and quantify project progress and eliminates the need for teams to manually calculate and report on it. The result is detailed, shared progress tracking from a single source across every project stakeholder and subcontractor.
Strategies for maintaining a healthy work-life balance.
Doxel CEO Saurabh Ladha is featured on The QTS Experience Podcast with David McCall. David and Saurabh discuss the impact of waste and rework in construction.
Saurabh discusses how Doxel integrates AI with established processes to build faster. Join us for the conversation, on the next QTS Experience. Episode 191; Saurabh Ladha: Intuitive Construction, AI, Doxel, Innovation, Data Center.
Advice for maintaining mental health in the workplace.
Many construction companies are at a crossroads as they think about the future of their business, and who will be a part of it.
More than 40% of the current U.S. construction workforce is expected to retire over the next decade. This generation of seasoned superintendents and project leaders will leave behind big shoes to fill in both skill and knowledge, and the industry’s current skilled labor shortage doesn’t exactly help either.
While many owners, GCs and trade contractors have programs in place to mentor younger generations and train them to step in, it won’t be enough to bridge the gap. That’s why it’s important for companies to ensure they are innovating to attract more workers of a new generation.
The construction industry has made huge strides to change and adopt more technology, but it can’t stop now. The younger generation that’s coming into the workforce over the next ten years was raised in a time where technology was already prevalent and is like second nature to them.
If a company wants to attract and retain a new generation of field leaders, they need to have processes in place that don’t just utilize technology, but are on the forefront of innovation, too.
A project isn’t truly done until it’s done done. And whether or not it gets to done done on time and under budget all comes down to how it’s being tracked during the construction phase. The old way of progress tracking involves a ton of manual effort and even more paper. Field teams would have to document what happened by hand on a regular basis and manually report on the overall progress completed.
Not only was this inefficient and extremely time-consuming, it also made it nearly impossible to try to predict where the project was headed or spot any potential issues fast enough to fix them. Even with the utilization of 3D and BIM models, knowing where a project stands hasn’t been as automated as it should be.
Convincing new, younger workers to take on these outdated processes isn’t an easy sell. Chances are, they’ll feel their time is being wasted since they are so used to the convenience and automation that technology can bring. In order to attract more workers to be on project and field teams, the processes they follow need to be seamless and even a little exciting.
Construction companies that are leveraging artificial intelligence and machine learning to automate the collection and analysis of project data are already ahead of the game. While the new generation may be more traditionally more technologically savvy, AI is new and exciting to everyone.
Rather than spending hours per week manually inputting and calculating progress and materials, solutions like Doxel use AI alongside 360-degree capture to automatically identify true, objective progress. This ability to bring predictability to projects doesn’t just save field teams time—it provides critical insights that help avoid delays and cost overruns at the overarching project level.
Instead of them feeling like just another cog in the machine there to collect data over and over again, technology of this caliber empowers workers to think critically about the status of projects and seek a deeper understanding of what’s happening each day. Not to mention the sense of fulfillment that comes when a team works together on a project that is able to be completed earlier with increased safety, less expense, and higher quality.
We can help you empower a new generation of field leaders. See how Doxel works in a personalized demo today.
Doxel’s computer vision-based progress tracking leverages AI to act as a digital surveyor that delivers insights and reporting in real time.
Now more than ever, construction companies are looking for ways to stand out from the competition—and that starts with staying on top of the latest technology that helps them build more efficient, profitable projects.
The future of construction technology will be a hybrid of artificial intelligence (AI) and machine learning working alongside the industry’s workforce.
But what does that mean?
Put more simply, artificial intelligence is the brain of the computer, and machine learning is the part of that brain that learns from data and makes informed decisions based on what it has learned.
Computer scientists have found a way to make the process of designing a building more efficient and accurate. By starting with the goals and parameters of a project, generative design is able to explore every possible iteration of a solution until it comes up with the best option.
This technology and its use has the potential to save architects and designers countless hours upfront—but it doesn’t replace the human touch completely. Once the optimal solution is found for the design of a building, a designer still needs to fine-tune the details and take it from there.
Robots are being utilized on construction projects to perform repetitive tasks (such as bricklaying) using AI to detect changes in conditions and maximize efficiency. While only a few robots have been added to the project ranks so far, it is expected that more of these AI-powered workers will be used as a method of streamlining productivity.
What’s our favorite robot in construction, you ask? Meet Spot: a robot dog created by Boston Dynamics used to carry image-capturing or laser scanning equipment that ventures where humans can’t. Spot’s ability to walk himself autonomously around a jobsite, including on uneven terrain, makes him a project’s best friend. Spot may not have AI infused into his DNA yet, but the future generations of Spot will incorporate AI for predictive and preventative analysis.
Milwaukee Tool first dabbled into the technology space with their wirelessly connected tools, but they’ve since enhanced their capabilities with AI to pinpoint the exact locations of where a tool was last seen. And they didn’t stop there—by adding algorithms and more advanced sensors to their tools, Milwaukee is able to combine the data of a motor drive with motor load information to make decisions on false trips.
It should come as no surprise that these technological concepts are being applied to the most important priority in construction: safety. Companies like NewMetrix have created an AI-powered solution to help predict (and prevent) safety incidents on projects.
By leveraging a construction-specific AI model, their platform can analyze existing data along with their proprietary program to provide actionable incident insights that have the power to keep workers safe.
While BIM has opened the door for 3D modeling of a project, it’s still nearly impossible to tell the progress or quality of a build without a human resource to manually sift through and analyze images. That is, until now.
Doxel’s computer vision-based progress tracking leverages AI to act as a digital surveyor that delivers insights and reporting in real time. It can automatically analyze visual data, measure installed quantities, and inspect quality for more than 75 different construction stages. This not only saves companies time, it also mitigates the risk of errors and delays that could become costly.
Putting the model in the hands of field teams every step of the way gives them immediate access to see where their efforts line up (or don’t) for the project.
Ever since the pandemic, QR codes have had a resurgence in society. When the world turned contactless, restaurants and businesses began leveraging QR codes for menus and signage. These small codes have since become a go-to for pulling up web pages quickly and conveniently.
As QR codes continue to become more prevalent, other industries have taken note and discovered ways to leverage them—and construction is no exception.
But before we get into that, let’s cover some basics.

The ‘QR’ in QR codes stands for Quick Response, which makes sense when you think about the way they work. By pointing a device’s camera at the code, a destination link is pulled up and can be accessed instantaneously.
While they may have become most popular after 2020, these codes are not a new technology. QR codes were first created in 1994 by the Japanese company and Toyota subsidiary Denso Wave as a more accurate way to track vehicles and parts during the manufacturing process. The original intention behind QR codes was to reinvent the barcode by making something that was easy to scan and could hold more data than the average barcode.
In a time where businesses needed to (and continue to) adapt, QR codes and smartphones have become a powerful duo to further streamline access to information.
It’s no secret the construction industry is facing some challenges. From labor shortages to supply chain, the circumstances have further shown the importance of operational excellence on a project. To help combat these challenges, maintain a high standard of execution, and minimize risks of mistakes, many construction companies have found technology to be the answer.
Can QR codes play a part in this? In our webinar Almost Done Isn’t Done, one Doxel customer shared his team’s innovative way of incorporating QR codes around the job site to bring everyone on the same page, faster.
By strategically placing QR codes around key points of the job site, all the contractors for the project are able to instantly access the corresponding models and plans needed. That way, when the contractor is getting ready for the install or build, they can simply scan the QR code to confirm what they need to accomplish.
Putting the model in the hands of field teams every step of the way gives them immediate access to see where their efforts line up (or don’t) for the project. This makes it easy to ensure accuracy while progress is being made versus waiting until it’s too late.
How do companies make their own custom QR codes? Here’s a handful of solutions to consider:
While this technology is helpful enough on its own, the destination of the QR code is what can really make the difference on a project’s path to operational excellence.
Let’s talk about what happens when laser scanning and real-time progress tracking join the party.
Doxel’s AI-powered tool automatically maps and overlays 360-degree video to the BIM and 3D models. The split view allows teams to quickly understand what’s in progress and what’s done, along with the quality of installed systems.
Site progress is automatically quantified and visualized and can be differentiated by trade to compare what’s there to what should be—and as a result everyone is objectively aligned on true progress.
Imagine all this at the touch of a button, a scan of a code. With the convenient access of QR codes connected directly to Doxel, field teams can better (and more instantly) answer two of a project’s biggest questions:
Are things where they are supposed to be?
Are we on schedule?
By having the color-coded, easy to understand analysis of progress just a QR code scan away, project teams can be more proactive and accurate in their work.
If you’re ready to take your project models to another level, schedule a demo of Doxel today.
Work In Progress reports provide accurate progress data that project teams can trust across the entire site.
Construction is a unique industry in many ways, one of which being the flow of cash and accounting process for projects. Whereas many industries have straightforward transactions and payments, construction costs tend to be more complex and nuanced—which makes it more difficult to stay on top of a budget with money constantly going out and coming in.
From estimation and bidding to delays and change orders, there are many stages and factors that go into determining the cost (and profits) of a project.
How can companies know if they’re on schedule and under budget before the project closes? Work in progress is the answer.
A work in progress (or, WIP) schedule is a detailed report that shows the percentage of progress completed on a project—and takes into account any work that’s in progress in relation to budget and profitability. Below are four reasons WIP Reporting is essential on every project!
When it comes to a project’s progress, communication is critical. Without clear, real-time communication, project teams waste valuable time meeting to discuss and determine where a project stands. Progress can also be misrepresented or miscalculated, which directly impacts the budget and schedule of a project. With so many moving parts to balance, construction companies can’t afford to make mistakes due to miscommunication.
WIP reports provide accurate progress data that project teams can trust across the entire site. This reduces any subjectivity throughout the building process and gives everyone one source of truth to work from.
Many contractors choose to implement progress payments, which means the project is billed based on certain percentages of completion as they’re reached instead of waiting until the end of a job. Combine progress payments with inaccurate progress reporting, and the project can very quickly become overbilled (revenue billed exceeds the work completed) or underbilled (work completed exceeds what’s been billed).
WIP tracking provides the exact progress percentage of work completed to create a shared understanding and accountability for project costs accrued so far—and can help shed light on any discrepancies in the budget to prevent future cash-flow problems. This is especially helpful for those project managers who like to ‘guesstimate’ based on a gut feeling, then try to do the math later to even it out.
Hindsight may be 20/20, but it won’t keep your project profitable. A problem is much harder to fix after it’s already happened. While discussing what went wrong at the end may help your next project, the power to be able to notice and act in real time is invaluable. Project teams need to be able to spot potential problems as early as humanly possible to minimize the impact and keep everything on track.
That’s where work in progress tracking comes in—it’s in the name. Using technology that quantifies progress all the way down to the subcomponent level allows stakeholders to catch an issue and course correct as soon as (if not before) it happens. This prevents mistakes from becoming costly and provides insight for better business decisions in the future.
While catching issues early on is one thing, being able to predict a project’s future is another. With the right AI-powered progress tracking, companies can track project performance for deviations from plan and forecast a more accurate estimate at completion.
Knowing where your project is heading before you get there means you can plan accordingly and get ahead of costly trends. WIP tracking data gives project teams the ability to confidently manage the schedule and predict delays.
At the end of the day, work in progress reports give a true and accurate view of the financial health of a project. However, they require accurate project progress data to be effective.
Companies that leverage technology with AI-powered progress tracking can truly reap the benefits of WIP reports—and ultimately keep their projects on track and profitable.
By letting the AI automatically analyze visual data, construction companies are able to measure installed quantities and inspect quality—without having to sift through data or manually record the entire jobsite.
Construction—an industry that’s been around for nearly as long as civilization—is long overdue for a change in the tools used to build the world. While technology has become more and more common on a jobsite, most of it has been focused on taking companies from pen and paper to digital data and drawings. This is a step forward, but still requires a significant amount of manual effort and calculations to be effective. One tool alone may not completely transform an industry, but the right technology in combination could unlock the secret to more profitable and productive projects. That’s where machine learning comes in.
When you hear the term “machine learning” or “AI” (artificial intelligence), your mind probably goes straight to what you’ve seen in movies and television. While there isn’t a terminator on a jobsite (yet), construction companies are beginning to leverage an entirely new generation of technology to further reduce manual effort and increase visibility and insights.
A lot of the existing construction technology leverages visualization software to overlay captured data onto a 3D design. While this helps add an extra layer of visibility, it won’t tell you much more about true progress without someone having to look through every photo and laser scan. When given the choice, most jobsite managers would rather walk around and measure progress manually than spend even more hours doing it on the computer.
Computer vision-based progress tracking takes it one step further. By letting the AI automatically analyze visual data, construction companies are able to measure installed quantities and inspect quality—without having to sift through data or manually record the entire jobsite. What used to take someone hours is now an automated, real-time progress and quality report they can access anytime.
Imagine being able to automatically track more than 75 different construction stages and generate progress, down to the materials installed, and all it takes is a 360° camera, BIM, and AI-powered platform.
This automated progress tracking isn’t just for the project teams. Traditionally, if an owner wants a project update, they either have to physically come to the jobsite or rely on the reporting of project managers and subcontractors. This reporting takes valuable time, and is often incomplete and delayed (or missing entirely) depending on how busy the team is.
AI platforms take the burden off of project teams by enabling them to capture more detailed data, faster. Artificial intelligence can essentially act as a digital surveyor to capture hundreds of thousands of square feet on a project every week—freeing field crews up to focus on making progress, not reporting on it. Those uncomfortable OAC and weekly trade coordination meetings where progress isn’t clearly measured or communicated can quickly become a thing of the past.
Real-time project visibility allows companies to spot potential issues or overruns faster, and gives them enough time to make changes before it’s too late.
In construction, the four biggest factors to a project’s success are time, money, quality, and productivity. The right balance of these factors could mean the difference between coming in on time, under budget and losing money on a project. The increased visibility and reporting that AI-based software gives managers can directly translate to real-time feedback on schedule, budget, and quality.
Machine learning provides companies objective schedule and cost budget analysis to ensure everything is progressing to plan, and can prevent costly rework or delays. It isn’t enough to be able to see what’s happening as it happens—companies need to be able to look into the future of a project using predictive forecasts, too (another AI specialty).
Real-time feedback and insights have the power to take construction companies to a new level of project success. Machine learning isn’t about replacing people with machines. It’s about leveraging automated, artificial intelligence to increase productivity and visibility so teams can make better business decisions, faster.
Putting the model in the hands of field teams every step of the way gives them immediate access to see where their efforts line up (or don’t) for the project.
Ever since the pandemic, QR codes have had a resurgence in society. When the world turned contactless, restaurants and businesses began leveraging QR codes for menus and signage. These small codes have since become a go-to for pulling up web pages quickly and conveniently.
As QR codes continue to become more prevalent, other industries have taken note and discovered ways to leverage them—and construction is no exception.
But before we get into that, let’s cover some basics.

The ‘QR’ in QR codes stands for Quick Response, which makes sense when you think about the way they work. By pointing a device’s camera at the code, a destination link is pulled up and can be accessed instantaneously.
While they may have become most popular after 2020, these codes are not a new technology. QR codes were first created in 1994 by the Japanese company and Toyota subsidiary Denso Wave as a more accurate way to track vehicles and parts during the manufacturing process. The original intention behind QR codes was to reinvent the barcode by making something that was easy to scan and could hold more data than the average barcode.
In a time where businesses needed to (and continue to) adapt, QR codes and smartphones have become a powerful duo to further streamline access to information.
It’s no secret the construction industry is facing some challenges. From labor shortages to supply chain, the circumstances have further shown the importance of operational excellence on a project. To help combat these challenges, maintain a high standard of execution, and minimize risks of mistakes, many construction companies have found technology to be the answer.
Can QR codes play a part in this? In our webinar Almost Done Isn’t Done, one Doxel customer shared his team’s innovative way of incorporating QR codes around the job site to bring everyone on the same page, faster.
By strategically placing QR codes around key points of the job site, all the contractors for the project are able to instantly access the corresponding models and plans needed. That way, when the contractor is getting ready for the install or build, they can simply scan the QR code to confirm what they need to accomplish.
Putting the model in the hands of field teams every step of the way gives them immediate access to see where their efforts line up (or don’t) for the project. This makes it easy to ensure accuracy while progress is being made versus waiting until it’s too late.
How do companies make their own custom QR codes? Here’s a handful of solutions to consider:
While this technology is helpful enough on its own, the destination of the QR code is what can really make the difference on a project’s path to operational excellence.
Let’s talk about what happens when laser scanning and real-time progress tracking join the party.
Doxel’s AI-powered tool automatically maps and overlays 360-degree video to the BIM and 3D models. The split view allows teams to quickly understand what’s in progress and what’s done, along with the quality of installed systems.
Site progress is automatically quantified and visualized and can be differentiated by trade to compare what’s there to what should be—and as a result everyone is objectively aligned on true progress.
Imagine all this at the touch of a button, a scan of a code. With the convenient access of QR codes connected directly to Doxel, field teams can better (and more instantly) answer two of a project’s biggest questions:
Are things where they are supposed to be?
Are we on schedule?
By having the color-coded, easy to understand analysis of progress just a QR code scan away, project teams can be more proactive and accurate in their work.
If you’re ready to take your project models to another level, schedule a demo of Doxel today.
Work In Progress reports provide accurate progress data that project teams can trust across the entire site.
Construction is a unique industry in many ways, one of which being the flow of cash and accounting process for projects. Whereas many industries have straightforward transactions and payments, construction costs tend to be more complex and nuanced—which makes it more difficult to stay on top of a budget with money constantly going out and coming in.
From estimation and bidding to delays and change orders, there are many stages and factors that go into determining the cost (and profits) of a project.
How can companies know if they’re on schedule and under budget before the project closes? Work in progress is the answer.
A work in progress (or, WIP) schedule is a detailed report that shows the percentage of progress completed on a project—and takes into account any work that’s in progress in relation to budget and profitability. Below are four reasons WIP Reporting is essential on every project!
When it comes to a project’s progress, communication is critical. Without clear, real-time communication, project teams waste valuable time meeting to discuss and determine where a project stands. Progress can also be misrepresented or miscalculated, which directly impacts the budget and schedule of a project. With so many moving parts to balance, construction companies can’t afford to make mistakes due to miscommunication.
WIP reports provide accurate progress data that project teams can trust across the entire site. This reduces any subjectivity throughout the building process and gives everyone one source of truth to work from.
Many contractors choose to implement progress payments, which means the project is billed based on certain percentages of completion as they’re reached instead of waiting until the end of a job. Combine progress payments with inaccurate progress reporting, and the project can very quickly become overbilled (revenue billed exceeds the work completed) or underbilled (work completed exceeds what’s been billed).
WIP tracking provides the exact progress percentage of work completed to create a shared understanding and accountability for project costs accrued so far—and can help shed light on any discrepancies in the budget to prevent future cash-flow problems. This is especially helpful for those project managers who like to ‘guesstimate’ based on a gut feeling, then try to do the math later to even it out.
Hindsight may be 20/20, but it won’t keep your project profitable. A problem is much harder to fix after it’s already happened. While discussing what went wrong at the end may help your next project, the power to be able to notice and act in real time is invaluable. Project teams need to be able to spot potential problems as early as humanly possible to minimize the impact and keep everything on track.
That’s where work in progress tracking comes in—it’s in the name. Using technology that quantifies progress all the way down to the subcomponent level allows stakeholders to catch an issue and course correct as soon as (if not before) it happens. This prevents mistakes from becoming costly and provides insight for better business decisions in the future.
While catching issues early on is one thing, being able to predict a project’s future is another. With the right AI-powered progress tracking, companies can track project performance for deviations from plan and forecast a more accurate estimate at completion.
Knowing where your project is heading before you get there means you can plan accordingly and get ahead of costly trends. WIP tracking data gives project teams the ability to confidently manage the schedule and predict delays.
At the end of the day, work in progress reports give a true and accurate view of the financial health of a project. However, they require accurate project progress data to be effective.
Companies that leverage technology with AI-powered progress tracking can truly reap the benefits of WIP reports—and ultimately keep their projects on track and profitable.
By letting the AI automatically analyze visual data, construction companies are able to measure installed quantities and inspect quality—without having to sift through data or manually record the entire jobsite.
Construction—an industry that’s been around for nearly as long as civilization—is long overdue for a change in the tools used to build the world. While technology has become more and more common on a jobsite, most of it has been focused on taking companies from pen and paper to digital data and drawings. This is a step forward, but still requires a significant amount of manual effort and calculations to be effective. One tool alone may not completely transform an industry, but the right technology in combination could unlock the secret to more profitable and productive projects. That’s where machine learning comes in.
When you hear the term “machine learning” or “AI” (artificial intelligence), your mind probably goes straight to what you’ve seen in movies and television. While there isn’t a terminator on a jobsite (yet), construction companies are beginning to leverage an entirely new generation of technology to further reduce manual effort and increase visibility and insights.
A lot of the existing construction technology leverages visualization software to overlay captured data onto a 3D design. While this helps add an extra layer of visibility, it won’t tell you much more about true progress without someone having to look through every photo and laser scan. When given the choice, most jobsite managers would rather walk around and measure progress manually than spend even more hours doing it on the computer.
Computer vision-based progress tracking takes it one step further. By letting the AI automatically analyze visual data, construction companies are able to measure installed quantities and inspect quality—without having to sift through data or manually record the entire jobsite. What used to take someone hours is now an automated, real-time progress and quality report they can access anytime.
Imagine being able to automatically track more than 75 different construction stages and generate progress, down to the materials installed, and all it takes is a 360° camera, BIM, and AI-powered platform.
This automated progress tracking isn’t just for the project teams. Traditionally, if an owner wants a project update, they either have to physically come to the jobsite or rely on the reporting of project managers and subcontractors. This reporting takes valuable time, and is often incomplete and delayed (or missing entirely) depending on how busy the team is.
AI platforms take the burden off of project teams by enabling them to capture more detailed data, faster. Artificial intelligence can essentially act as a digital surveyor to capture hundreds of thousands of square feet on a project every week—freeing field crews up to focus on making progress, not reporting on it. Those uncomfortable OAC and weekly trade coordination meetings where progress isn’t clearly measured or communicated can quickly become a thing of the past.
Real-time project visibility allows companies to spot potential issues or overruns faster, and gives them enough time to make changes before it’s too late.
In construction, the four biggest factors to a project’s success are time, money, quality, and productivity. The right balance of these factors could mean the difference between coming in on time, under budget and losing money on a project. The increased visibility and reporting that AI-based software gives managers can directly translate to real-time feedback on schedule, budget, and quality.
Machine learning provides companies objective schedule and cost budget analysis to ensure everything is progressing to plan, and can prevent costly rework or delays. It isn’t enough to be able to see what’s happening as it happens—companies need to be able to look into the future of a project using predictive forecasts, too (another AI specialty).
Real-time feedback and insights have the power to take construction companies to a new level of project success. Machine learning isn’t about replacing people with machines. It’s about leveraging automated, artificial intelligence to increase productivity and visibility so teams can make better business decisions, faster.
Achieving success in healthcare construction projects requires a focus on transparency, risk management, and benchmarking. By leveraging near real-time data and advanced technology, stakeholders can ensure project efficiency, mitigate risks, and deliver high-quality outcomes within expected timelines.
Healthcare projects are not typical commercial construction. Aside from the complexity and cost, healthcare carries a higher level of risk and liability with patient care depending on the outcome of the project. With more at stake, accuracy and predictable outcomes are paramount to the success of the project.
At the foundation, there are three pillars to success for any healthcare project: transparency, risk management, and benchmarking.
Let’s take a look at each of these pillars—and at how automated progress tracking can help companies meet these requirements to help teams complete projects on time and under budget.
Transparency between owners, general contractors, and subcontractors is critical in hospital construction because it ensures every step of the way that the project is following the schedule, budget, and required quality standards.
Clear communication and the sharing of real-time information makes it easier to identify and resolve any issues that may arise during the construction process, which can prevent delays and cost overruns.
Additionally, proper transparency makes sure all parties are working towards the same goals and that everyone is aware of the project’s progress and any necessary changes. In the case of hospital construction, it’s important that transparency is maintained to ensure the safety and well-being of the patients, staff, and visitors—both during construction and after it’s completed.
How can construction companies improve transparency among all stakeholders? Here are five processes that can help.
Due to the costs and complexity of healthcare projects, it is crucial to mitigate risk to ensure safety, quality, and compliance. Risk is inevitable in construction, but there are steps you can take to reduce and ensure better outcomes for your projects.
By following these steps, healthcare construction projects can manage risk and improve outcomes. Even better, there’s technology that alleviates the manual component to many (if not all) of the steps needed to mitigate risk.
By pairing 360-degree video capture with AI-powered progress tracking, teams are able to objectively measure progress of work in place with every data capture, every week. This provides healthcare construction projects with real-time information on the progress and quality of what’s been completed.
Automated progress tracking is the best way to bridge everything together to keep project teams on the same page and catch potential issues faster with enough time to fix them—ultimately preventing delays and unnecessary overruns. This greater degree of transparency and accountability helps to ensure that all parties are meeting their obligations and building to the required standard of the project.
Benchmarking in healthcare construction provides a way to measure and compare the performance of different projects. Leveraging benchmarks helps to identify best practices and areas for improvement, which can be used to set goals and targets for future projects. Benchmarking can also reveal trends and patterns across projects to identify any potential risks and opportunities earlier on.
Healthcare construction benchmarking can inform decision making and contribute to the success or failure of a project. For benchmarking to be most impactful, project progress should be collected in a standardized and repeatable way. Implementing an automated way to analyze project progress in real time helps save time and ensure meaningful insights—ultimately leading to more predictable outcomes, as well as improved quality, cost, and schedule performance.
Automated progress tracking works to streamline the three pillars for project success by providing objective information and greater visibility into the project’s progress. Between project teams and stakeholders, everyone is able to be more closely involved to make more informed decisions faster.
With all parties working towards the same goals, everyone is aware of the objective progress metrics as well as any changes needed. With the right solution in place, teams can increase efficiency, decrease risk, and save valuable time and resources.
Not sure where to get started? Click here to learn more about Doxel’s digital surveyor and analytic tools for healthcare construction today.
Ezra Klein rings the alarm that the $1.6 trillion U.S. construction industry has not shared the productivity gains of other industries. After two decades into a career focused on bringing productivity gains to construction, Reid Senescu, Vice President of Product at Doxel.ai has an idea that can alter this trend.
In his February 5, 2023 opinion piece in the New York Times, Ezra Klein rings the alarm that the $1.6 trillion U.S. construction industry has not shared the productivity gains of other industries. He cites Goolsbee and Syverson’s paper “The Strange and Awful Path of Productivity in the US Construction Sector,” which explains that construction productivity has decreased since 1950 while manufacturing productivity, for example, has increased ninefold. I appreciate Mr. Klein’s alarm as well as his humility in admitting he has no idea how we get construction productivity rising again. Two decades into a career focused on bringing productivity gains to construction, I do have an idea.

But before I get to my idea, let’s consider Mr. Klein’s prime culprit – regulatory “paperwork, and paperwork, and more paperwork.” No doubt regulation impacts construction productivity; regulation impacts most industries. While Syverson’s paper does not provide data connecting productivity declines to increased regulation, it does note that the construction industry invested 46 percent less in R&D and software purchases compared to the broader economy in 2020. And, a separate paper by Syverson, “The Slowdown in Manufacturing Productivity Growth,” (my fellow construction colleagues will take solace in knowing we are not alone in facing Syverson’s economic scrutiny) explains that information technologies (IT) were the main driver for productivity gains in manufacturing from 1994 to 2005.
Why did IT so dramatically impact manufacturing, but not construction? In both construction and manufacturing, IT can improve productivity once information about the real world is transformed into data. Consider an assembly line producing widgets. The assembly line has sensors that send data to machines to respond in real time and to plant managers who learn of bottlenecks and continuously improve the assembly line. This investment in sensors produces the data that powers IT and drives productivity increases.
Applying IT to construction is not so easy. While a factory produces millions of widgets, a construction project is the assembly of millions of different components to produce only a single facility. A single sensor cannot automatically monitor the installation of thousands of square feet of walls or linear feet of ductwork. And that limitation means that IT is starved of data that would help construction workers and managers gain insights to continuously improve their processes. Thus, until recently, investment in IT has been limited to the design phase and certain aspects of construction administration. Yet, labor is the greatest cost on any project in the U.S. And, IT has had virtually no impact on the productivity of that skilled craftworker laying a brick or welding a beam to a column.

But, that reality is changing. With artificial intelligence (AI) and computer vision, leading builders are transforming 360 video into near real-time measurements of construction processes. This near real-time reality capture of the construction site acts like sensors in a factory, feeding IT with data that empowers project teams to increase productivity. For example, a construction superintendent constructing a retirement community recently used this automated progress tracking technology to identify that a certain duct installation activity was not yet complete on the 3rd floor. Ceilings were set to be installed the next day. Without this insight from technology, the unfinished ductwork would have been covered up by the ceiling trade partner. And, when they later discovered the oversight, they would have had to rip open the ceiling. That rework would have put a big dent in their productivity. Instead, the AI-powered IT indicated the ductwork was not 100% complete. Augmented with this information, the superintendent applied his expertise in coordinating trades to get the ducts installed right away to avoid the rework. And, the general contractor and retirement community owner no longer had to explain to residents why they were going to be moving in two weeks late.
This technology is new; we only began building it in 2015. But we’re seeing results. At Doxel, we’ve created automated progress tracking for construction that reduces time spent manually tracking progress by 95%. This automation creates data that is now fueling productivity gains from IT just like in manufacturing. And, it gets data to decision makers 5x – 10x faster, which gives 5x – 10x the opportunities to unlock the full potential of construction teams to accelerate schedules and deliver projects under budget. We’re not alone in augmenting construction team expertise with AI; companies such as Procore, Autodesk, Oracle, Dusty, Rhumbix and dozens of others have built technology that makes construction easier for millions of workers every day. And, forward looking facility owners are hungry to adopt solutions that reduce their risk and make the job easier for superintendents and trade partners, because they know the investment will translate to projects that are on time and on budget.

Of course, an industry’s health depends on more than a single metric. Construction provides nearly 11 million jobs in the U.S., including many high paying roles that do not require a college degree. They are rewarding jobs that contribute to society. But, the work is not easy. It frequently requires complex problem solving or complex physical skills. These are great jobs, partially because they can’t be easily automated to increase productivity. Still, productivity is an important metric not just for economists, but because it tends to correlate with the industry’s per capita income. According to Syverson, construction pay could be 10% higher if the industry’s productivity gains tracked the economy as a whole. Society needs construction to be easier, too. As we face challenges supplying healthcare, delivering energy, and investing in infrastructure, construction will either be a bottleneck to change or it will be a catalyst to change. AI augments the experience and skills of construction teams, so they have better data and tools and owners have the confidence to invest in projects that solve society’s 21st Century challenges.
Written by Reid Senescu, California Licensed Professional Engineer and PhD in Civil and Environmental Engineering from Stanford University. He is the Vice President of Product at Doxel.ai in Menlo Park, California. His research focused on how technology can improve construction team collaboration. At Doxel.ai, his products use computer vision to help teams collaborate and deliver projects on time and on budget.
Doxel’s AI technology enables Oracle’s customers to have real-time, objective visibility into their schedule performance
Doxel, an AI-based construction technology solution that enables proactive risk mitigation of projects and portfolios, announced its integration with Oracle’s Primavera P6 Enterprise Project Portfolio Management (EPPM), the solution for globally prioritizing, planning, managing, and executing projects, programs, and portfolios.
The Doxel and Oracle integration will enable customers to track construction progress continuously and automatically against their Oracle Primavera P6 schedules. Unlike manual methods of progress reporting that can be subjective or delayed, Doxel’s AI technology enables Oracle’s customers always to have real-time, objective visibility into their schedule performance.
Proactive mitigation of delays and identification of opportunities to accelerate construction—enabling customers to deliver their projects faster while collecting valuable benchmark data for future planning in Oracle Primavera P6 EPPM.
“This integration with Primavera P6 is by popular demand from our mutual customers, and we couldn’t be more excited,” says Saurabh Ladha, chief executive officer of Doxel. “Nearly 100% of our customers use Primavera P6 for scheduling, and this unification of workflows will supercharge our customers’ abilities to manage their projects and portfolios proactively.”
Doxel, based in Menlo Park, California, has built a widely adopted platform that applies AI and computer vision technology to 360-degree video of construction sites and measures progress in a granular, real-time, and automated fashion, and then contextualizes actual progress against Primavera P6 EPPM plans.
Through Doxel’s cloud-based dashboard, customers can instantly see where they’re ahead and behind, informing their decisions with data that can always be trusted and delivered in time for proactive actions that ultimately land projects on schedule and budget.
“We see project teams use Doxel AI and Primavera P6 side by side in construction trailers. P6 is an amazingly powerful scheduling and planning tool and requires information from the field that can accurately, objectively, and with higher frequency measure and constantly update progress. Because if you don’t have high-quality data feeding into it, its value diminishes exponentially,” says Garrick Ballantine, Doxel’s chief revenue officer.
He adds, “General contractors and owners use the combination of P6 and Doxel to objectively partner with their trade partners on a week-to-week basis, bringing the field and office on the same page with our cloud-based visual dashboard and to make payment decisions on billions of dollars’ worth of construction nationally. This integration has happened because the industry demanded it.”
Frank Malangone, Oracle’s executive director of innovation and industry strategy, said, “Our customers continue to look for ways to objectively and accurately measure progress to update the schedule for reliable insights. This connection between Primavera P6 and Doxel speeds up this process without constantly having to be at the job site and improves communication and coordination between the office and the field.”
This article original appeared on Oracle’s blog.
By providing accurate and automated cost budget analysis, companies are able to better understand their project and where it stands against the budget.
With inflation and rising cost of materials, it’s critical for healthcare companies to keep construction projects on schedule and within budget. Here are 4 ways to help verify your construction billing and keep your project on budget.
Automated construction progress tracking provides an objective view into exactly where the project stands, which can help mitigate contractors overbilling for a higher percentage of completion. Companies that use a single source of truth for progress tracking (like Doxel) can reduce monthly bills by up to 10%.
With money still left on the table, contractors will be more motivated to finish the job so they can get paid.
Change orders are inevitable—but transparency around them should be, too. Before a major healthcare provider started working with Doxel, they estimated 4% of their total spend was caused by inaccurate progress tracking. These additional COs are passed onto the healthcare company, and are avoidable with the right solution in place.
Leveraging AI-powered progress tracking takes the mystery out of CO estimates. While using Doxel, one healthcare company found their typical change order estimates were inflated by at least 10%. That money is going out the door, and eventually it will add up. With more accurate project tracking, companies can more accurately pinpoint where change orders should be and reduce unnecessary spend.
Due to the unpredictability of material requirements, HealthTrust Contracts run the risk of being underutilized, and healthcare companies miss out on potential rebates and discounts offered. Doxel helps drive 100% contract utilization with more accurate, objective, and standardized measurement of materials installed across projects—which in turn allows more materials purchased through HealthTrust and greater financial savings.
For one Doxel healthcare customer, that meant the ability to purchase 10% more through HealthTrust, and the savings added up to a whopping $18.56M annually through discounts and rebates on materials.
Time is money. When a project’s progress is manually tracked, the process itself to collect and report on the data takes valuable time away from contractors and field teams. What used to take 60+ hours of manpower a week to manually assess progress now takes a mere 3 hours per week using an automated solution like Doxel. All that time can now be focused on safety, quality control, and coordination of trade partners.
See why healthcare companies (and contractors) choose Doxel
Doxel’s image recognition gives healthcare facilities objective progress data and real-time insight into materials installed. With automated project tracking, everyone wins—contractors spend less time counting and reporting, and healthcare companies have better control over project costs and governance.
Healthcare facilities using Doxel are delivered earlier with increased safety, less expense, and higher quality. To learn more about how they do it, schedule a demo today.

Finding remaining work can feel like finding a needle in a haystack, but Doxel makes it straightforward.
Identifying what’s still pending can feel like finding a needle in a haystack, especially when less than 10% of a particular trade’s work remains. Doxel has updated the Work In Place visualization to make it easier to find remaining work.
Managing a large construction project involves ensuring that millions of components are installed correctly, in the correct sequence, across many trade partners. Put simply, it’s easy to see what is there, it’s hard to find something missing. As more trades begin their installations, the not installed scope gets occluded, making it hard to visually see what’s left. This leads to a common problem in construction: unfinished in-wall MEP (Mechanical, Electrical, and Plumbing) being covered up by drywall teams, leading to costly and demoralizing rework.
Choosing “Not Complete” in Doxel’s Work in Place visualization is a straightforward approach to solving the challenge of finding remaining work. By isolating the components that are yet to be completed, Doxel enables teams to have focused conversations with trade partners and other responsible parties. This feature empowers site teams to:
The Work In Place visualization helps site teams easily manage and track work installed by providing an automated, color coded 3D model of the structure, broken down by trade, zones, and stages of construction. Now you can select a trade, sort by “Not Complete” and see what is yet to be installed for that trade. This powerful tool answers the critical questions: “What is installed?’, “What is pending?” and “What is not done?” so that construction teams can appropriately manage labor, sequence trades, and hit project milestones.
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Traditional construction progress tracking methods rely heavily on manual inspections and subjective reporting, often leading to errors and oversights. With the size and complexity of construction, it is simply too time-consuming and error-prone to accurately count each hanger, pipe, or panel.
Visualizing work in place allows teams to quickly identify remaining work and understand the reasons behind any delays. By sorting by “Not Complete,” superintendents and trades can better coordinate with each other, quickly identifying where they should be working next or identifying missing work. This improved clarity helps teams verify that all tasks are completed, understand their next steps, and ensure that all work is done in the correct sequence.
Additionally, knowing what is left to do is crucial for commissioning and inspection sign-offs. Failing to identify unfinished work can delay these critical milestones, impacting the overall project timeline. By using Doxel’s Work In Place visualization, teams can ensure that all necessary work is completed and ready for inspection, preventing delays and ensuring a smooth progression towards project completion.
Construction is complex and details matter. Doxel’s Work In Place visualization helps teams find the right information quickly. By providing a clear and accurate view of unfinished work, Doxel empowers teams to prevent costly oversights, improve efficiency, and enhance collaboration.