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From June 2–4, Doxel will join thousands of leaders across the global data center ecosystem at the 2026 Datacloud Global Congress (DGC) 2026 in Cannes, France.
Held at the iconic Palais des Festivals et des Congrès, Datacloud Cannes brings together hyperscalers, developers, investors, operators, and construction leaders shaping the future of AI infrastructure and digital capacity expansion.
With more than 6,000 attendees expected, this year’s event arrives at a critical moment for the industry. AI demand continues to accelerate the construction of data centers globally, while labor shortages, power constraints, and schedule pressures continue to intensify.
As a Silver Sponsor, Doxel will be exhibiting at Booth #317 with full EMEA sales, product, and customer coverage on site, including participation in the event’s pre-conference cycling activities.
The conversations at DGC align directly with the challenges Doxel helps solve every day on large-scale projects.
Across the industry, owners and builders face mounting pressure to deliver complex facilities faster while maintaining quality and reducing risk. At the same time, construction productivity continues to lag behind other industries despite increasing project complexity and demand. For data center teams building hyperscale campuses and AI infrastructure, delays and missed coordination windows can quickly create cascading schedule impacts.
That is why objective, real-time construction visibility has become increasingly important.
Throughout Cannes, Doxel will showcase how leading owners and contractors are using AI-powered progress tracking to improve schedule certainty, benchmark production, and reduce costly surprises in the field.
Doxel automatically captures and analyzes site progress against BIM models and schedules, giving teams real-time visibility into what is actually happening on site. The platform eliminates the delays and inconsistencies that come from manual reporting and subjective progress tracking.
On major projects, Doxel has helped teams move beyond “rule of thumb” project management by introducing objective production benchmarking and real-time performance insights. DPR Construction used Doxel to improve benchmarking consistency and increase confidence in decision-making across projects.
As owners demand greater predictability and transparency across capital programs, Doxel gives teams what traditional reporting systems often cannot: a live operational view of project execution.
To support our efforts at Datacloud Cannes, we are launching a digital billboard campaign across key areas surrounding the Palais des Festivals and La Croisette.
The campaign reinforces a core message increasingly resonating across the data center market:
You cannot accelerate delivery without objective visibility into production.
The creative highlights our ability to help owners and builders deliver construction faster through automated progress tracking, real-time production insights, and proactive risk detection.
The campaign also reflects a broader shift happening across construction. Owners are beginning to manage construction investments with the same operational rigor applied across the rest of their business.
Attendees can meet with our team throughout the event to discuss how AI-powered construction analytics are helping data center teams improve execution certainty at scale.
If you are attending Datacloud Cannes 2026, stop by Booth #317 to see how we’re helping teams deliver complex projects with greater speed, visibility, and confidence.
Doxel is attending DCD>Connect APAC 2026 in Bali to discuss AI infrastructure, data center construction visibility, and reducing delivery risk across fast-growing APAC markets.
Doxel is heading to on June 9–11 at the Grand Hyatt Bali to participate in DCD>Connect APAC 2026
As AI infrastructure demand accelerates across Asia-Pacific, developers, operators, and construction teams are under increasing pressure to deliver capacity faster while managing growing project complexity.
APAC has quickly become one of the world’s most active regions for data center expansion. Markets across Southeast Asia, Australia, and India continue to see rapid investment from hyperscalers, colocation providers, and digital infrastructure firms racing to support AI workloads and cloud growth.
At the same time, the challenges facing project teams continue to intensify.
Data center facilities are becoming larger, denser, and more complex. Regional supply chains remain fragmented. Skilled labor availability varies significantly by market. Power constraints and permitting pressures are increasing in key hubs. Teams are being asked to build faster than ever before while maintaining certainty around schedule, quality, and coordination.
Industry research from McKinsey & Company shows that global construction productivity has remained largely stagnant for decades despite increasing project complexity and demand. The report notes that productivity in construction improved only 0.4% annually between 2000 and 2022 while labor shortages continue to worsen across major markets.
That challenge is becoming increasingly visible across APAC data center construction.
DCD>Connect APAC brings together many of the operators, developers, contractors, and infrastructure leaders shaping the future of AI and digital infrastructure across the region.
Unlike more mature markets where expansion is often constrained by existing infrastructure limitations, APAC remains heavily growth-focused. New facilities are being delivered across multiple countries simultaneously, often with compressed schedules and evolving delivery models.
This year’s event focuses heavily on the future of next-generation AI infrastructure, modular delivery strategies, localization approaches, and the operational realities of scaling hyperscale infrastructure across APAC.
For Doxel, these conversations align directly with the challenges teams are facing in the field today.
Doxel helps owners and construction teams improve visibility, coordination, and delivery performance across complex capital projects through automated progress tracking and AI-powered construction analytics.
Doxel enables teams to:
Doxel’s platform helps eliminate gaps in manual reporting by providing objective, real-time insights into what is actually happening on-site.
Companies like DPR use Doxel to improve project visibility, benchmark build speeds, and drive more objective production tracking across projects. As APAC data center projects grow larger and more complex, real-time visibility into field execution becomes critical to maintaining schedule certainty and reducing delivery risk.
Doxel’s APAC Client Manager, Sridhar Rengasamy, will be attending throughout the event and meeting with owners, operators, developers, and delivery teams across the region.
Sridhar has worked on large-scale infrastructure and capital projects across Southeast Asia totaling up to $550M in value, partnering closely with contractors and consultants to improve coordination, strengthen execution, and mitigate delivery risk across complex multi-stakeholder environments.
If you’re attending and want to discuss live or upcoming APAC projects, connect with the Doxel team during the event. To schedule a meeting, please reach out to Sridhar on LinkedIn.
Addressing Workforce Constraints in Data Center Construction
The Data Center Investment Conference and Expo (DICE): National brings together owners, operators, and builders at a time when data center demand continues to rise while the available workforce remains constrained.
Industry research shows that construction productivity has improved only modestly over the past two decades, even as project complexity has increased and labor availability has tightened. For teams delivering large-scale data center projects, this creates pressure on schedules, coordination, and overall execution.
Doxel is excited to attend DICE National, joining industry leaders as they share how teams are approaching these challenges in real project environments.
May 12–14, 2026
Day 1 Session | 2:10 PM – 2:50 PM
The panel includes perspectives from owners and operators who are directly responsible for delivering complex infrastructure programs.
The discussion will focus on how organizations are adapting to workforce constraints while maintaining delivery timelines and quality standards. Key topics include:
These challenges are not isolated to hiring. They affect how projects are planned, tracked, and executed from day one.
Doxel approaches workforce constraints as an execution and visibility challenge. When labor availability is limited, improving how work is tracked and managed becomes critical.
Doxel provides:
On data center projects with partners such as DPR Construction, this approach has supported a shift toward more consistent, data-driven benchmarking and improved confidence in project decision-making.
Data center projects require precise coordination, tight schedules, and rigorous quality control. Workforce limitations increase the risk of delays, rework, and misalignment between teams.
Improving visibility into project progress allows teams to:
This level of visibility helps teams maintain performance even when labor conditions are challenging.
This session will provide practical insights from industry leaders managing workforce constraints on active projects.
For owners, developers, and contractors involved in data center construction, it offers a clear view into how execution strategies are evolving.
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.
Location: Topgolf Dallas at 8787 Park Ln, Dallas, TX 75231 Date & Time: June 18th, 5:00 PM – 8:00 PM
Plans may shift, but your turnover date doesn’t have to. Watch Doxel, Oracle, and Layton Construction share how AI-powered progress tracking is enabling teams to deliver projects 11% faster.
Doxel, Oracle, and Layton Construction hosted an insightful webinar on how AI was transforming construction project delivery. While plans may change, your turnover date doesn’t have to. Attendees discovered how Doxel AI’s automated progress tracking and Oracle Primavera provided real-time visibility with greater project predictability and efficiency and ensured teams stayed on track.
Duration: 01:01
From June 2–4, Doxel will join thousands of leaders across the global data center ecosystem at the 2026 Datacloud Global Congress (DGC) 2026 in Cannes, France.
Held at the iconic Palais des Festivals et des Congrès, Datacloud Cannes brings together hyperscalers, developers, investors, operators, and construction leaders shaping the future of AI infrastructure and digital capacity expansion.
With more than 6,000 attendees expected, this year’s event arrives at a critical moment for the industry. AI demand continues to accelerate the construction of data centers globally, while labor shortages, power constraints, and schedule pressures continue to intensify.
As a Silver Sponsor, Doxel will be exhibiting at Booth #317 with full EMEA sales, product, and customer coverage on site, including participation in the event’s pre-conference cycling activities.
The conversations at DGC align directly with the challenges Doxel helps solve every day on large-scale projects.
Across the industry, owners and builders face mounting pressure to deliver complex facilities faster while maintaining quality and reducing risk. At the same time, construction productivity continues to lag behind other industries despite increasing project complexity and demand. For data center teams building hyperscale campuses and AI infrastructure, delays and missed coordination windows can quickly create cascading schedule impacts.
That is why objective, real-time construction visibility has become increasingly important.
Throughout Cannes, Doxel will showcase how leading owners and contractors are using AI-powered progress tracking to improve schedule certainty, benchmark production, and reduce costly surprises in the field.
Doxel automatically captures and analyzes site progress against BIM models and schedules, giving teams real-time visibility into what is actually happening on site. The platform eliminates the delays and inconsistencies that come from manual reporting and subjective progress tracking.
On major projects, Doxel has helped teams move beyond “rule of thumb” project management by introducing objective production benchmarking and real-time performance insights. DPR Construction used Doxel to improve benchmarking consistency and increase confidence in decision-making across projects.
As owners demand greater predictability and transparency across capital programs, Doxel gives teams what traditional reporting systems often cannot: a live operational view of project execution.
To support our efforts at Datacloud Cannes, we are launching a digital billboard campaign across key areas surrounding the Palais des Festivals and La Croisette.
The campaign reinforces a core message increasingly resonating across the data center market:
You cannot accelerate delivery without objective visibility into production.
The creative highlights our ability to help owners and builders deliver construction faster through automated progress tracking, real-time production insights, and proactive risk detection.
The campaign also reflects a broader shift happening across construction. Owners are beginning to manage construction investments with the same operational rigor applied across the rest of their business.
Attendees can meet with our team throughout the event to discuss how AI-powered construction analytics are helping data center teams improve execution certainty at scale.
If you are attending Datacloud Cannes 2026, stop by Booth #317 to see how we’re helping teams deliver complex projects with greater speed, visibility, and confidence.
Doxel is attending DCD>Connect APAC 2026 in Bali to discuss AI infrastructure, data center construction visibility, and reducing delivery risk across fast-growing APAC markets.
Doxel is heading to on June 9–11 at the Grand Hyatt Bali to participate in DCD>Connect APAC 2026
As AI infrastructure demand accelerates across Asia-Pacific, developers, operators, and construction teams are under increasing pressure to deliver capacity faster while managing growing project complexity.
APAC has quickly become one of the world’s most active regions for data center expansion. Markets across Southeast Asia, Australia, and India continue to see rapid investment from hyperscalers, colocation providers, and digital infrastructure firms racing to support AI workloads and cloud growth.
At the same time, the challenges facing project teams continue to intensify.
Data center facilities are becoming larger, denser, and more complex. Regional supply chains remain fragmented. Skilled labor availability varies significantly by market. Power constraints and permitting pressures are increasing in key hubs. Teams are being asked to build faster than ever before while maintaining certainty around schedule, quality, and coordination.
Industry research from McKinsey & Company shows that global construction productivity has remained largely stagnant for decades despite increasing project complexity and demand. The report notes that productivity in construction improved only 0.4% annually between 2000 and 2022 while labor shortages continue to worsen across major markets.
That challenge is becoming increasingly visible across APAC data center construction.
DCD>Connect APAC brings together many of the operators, developers, contractors, and infrastructure leaders shaping the future of AI and digital infrastructure across the region.
Unlike more mature markets where expansion is often constrained by existing infrastructure limitations, APAC remains heavily growth-focused. New facilities are being delivered across multiple countries simultaneously, often with compressed schedules and evolving delivery models.
This year’s event focuses heavily on the future of next-generation AI infrastructure, modular delivery strategies, localization approaches, and the operational realities of scaling hyperscale infrastructure across APAC.
For Doxel, these conversations align directly with the challenges teams are facing in the field today.
Doxel helps owners and construction teams improve visibility, coordination, and delivery performance across complex capital projects through automated progress tracking and AI-powered construction analytics.
Doxel enables teams to:
Doxel’s platform helps eliminate gaps in manual reporting by providing objective, real-time insights into what is actually happening on-site.
Companies like DPR use Doxel to improve project visibility, benchmark build speeds, and drive more objective production tracking across projects. As APAC data center projects grow larger and more complex, real-time visibility into field execution becomes critical to maintaining schedule certainty and reducing delivery risk.
Doxel’s APAC Client Manager, Sridhar Rengasamy, will be attending throughout the event and meeting with owners, operators, developers, and delivery teams across the region.
Sridhar has worked on large-scale infrastructure and capital projects across Southeast Asia totaling up to $550M in value, partnering closely with contractors and consultants to improve coordination, strengthen execution, and mitigate delivery risk across complex multi-stakeholder environments.
If you’re attending and want to discuss live or upcoming APAC projects, connect with the Doxel team during the event. To schedule a meeting, please reach out to Sridhar on LinkedIn.
Addressing Workforce Constraints in Data Center Construction
The Data Center Investment Conference and Expo (DICE): National brings together owners, operators, and builders at a time when data center demand continues to rise while the available workforce remains constrained.
Industry research shows that construction productivity has improved only modestly over the past two decades, even as project complexity has increased and labor availability has tightened. For teams delivering large-scale data center projects, this creates pressure on schedules, coordination, and overall execution.
Doxel is excited to attend DICE National, joining industry leaders as they share how teams are approaching these challenges in real project environments.
May 12–14, 2026
Day 1 Session | 2:10 PM – 2:50 PM
The panel includes perspectives from owners and operators who are directly responsible for delivering complex infrastructure programs.
The discussion will focus on how organizations are adapting to workforce constraints while maintaining delivery timelines and quality standards. Key topics include:
These challenges are not isolated to hiring. They affect how projects are planned, tracked, and executed from day one.
Doxel approaches workforce constraints as an execution and visibility challenge. When labor availability is limited, improving how work is tracked and managed becomes critical.
Doxel provides:
On data center projects with partners such as DPR Construction, this approach has supported a shift toward more consistent, data-driven benchmarking and improved confidence in project decision-making.
Data center projects require precise coordination, tight schedules, and rigorous quality control. Workforce limitations increase the risk of delays, rework, and misalignment between teams.
Improving visibility into project progress allows teams to:
This level of visibility helps teams maintain performance even when labor conditions are challenging.
This session will provide practical insights from industry leaders managing workforce constraints on active projects.
For owners, developers, and contractors involved in data center construction, it offers a clear view into how execution strategies are evolving.
Where Speed Meets Precision in Data Center Construction
The pace of data center construction has changed.
Schedules are tighter. Labor is harder to find. And the tolerance for error is almost zero. Owners and builders are being asked to deliver faster than ever, often on projects where even a small delay can cascade into millions in lost revenue.
That’s exactly why Doxel is heading to the DICE Pacific Northwest Data Center Investment Conference & Expo.
This event brings together the investors, developers, contractors, and technology leaders shaping the next generation of digital infrastructure. And this year, one topic is rising above the rest: How do you build faster without losing control?
The demand for data centers continues to surge, but the industry’s ability to deliver them has not kept pace.
Global construction productivity has barely moved over the last two decades, increasing just 0.4% annually, even as project complexity has grown dramatically
At the same time:
The result is a widening gap between what needs to be built and what can be delivered.
To close that gap, leading teams are rethinking how projects are executed. They are combining modular construction strategies with real-time, objective visibility into progress.
Speaker: John Rewolinski, PSP, Head of Scheduling Analytics, Doxel
Session Title: Speed Meets Precision: How Modular Delivery and Construction Tech Are Redefining Data Center Execution
This session focuses on a simple but critical challenge: Speed alone is not enough. Precision is what keeps speed from turning into rework.
Attendees will learn:
Most construction teams still rely on a familiar process:
The issue is not effort. It’s timing. By the time a deviation shows up in a report, it’s often weeks old. On a data center project, that delay can mean:
Doxel changes that dynamic by delivering objective, automated progress tracking that compares actual site conditions directly to the BIM model and schedule.
Instead of asking what’s happening, teams can see it.
Doxel was built for complex, fast-paced projects where precision matters.
With Doxel, teams can:
This approach eliminates manual reporting gaps and gives teams a consistent, accurate view of the jobsite
The impact is clear:
Construction is not getting simpler. But it is becoming more measurable.
With the right combination of modular delivery, AI-driven insights, and objective progress tracking, teams can finally deliver projects at the speed the market demands without sacrificing quality or control.
Doxel is helping lead that shift. See Doxel today.
When the scan says "not installed," and the trade says "we did it," the answer might be a quality problem, not a data error
▶ WATCH THE FULL PRESENTATION
Computer Vision Is the Andon Cord Construction Has Always Needed
LCI Conference 2025 · Reid Senescu, Doxel & Mike Miller, DPR Construction
Doxel's system was designed to track progress, but on a hyperscale data center project with DPR Construction, it caught something that no daily report, RFI, or schedule update had flagged, and the lesson that came out of it changed how the team interpreted data discrepancies entirely.
The story starts with a flag. Doxel's AI detected uninstalled security components near certain doors. The electrical trade partner pushed back hard, claiming they had roughed in all the security to those doors. In their estimation, the work was done.
After further investigation, the team found the truth: the security boxes had been installed. Three feet to the right of where they were supposed to be.
The components had been physically installed, but they were mislocated relative to the BIM. When comparing the 360° site photos against the model, Doxel’s AI correctly identified them as not installed in the designated location.
"If something's showing as not installed and the trade partner says it's installed, we probably have a quality control problem. Not the intended use case — but awesome to see."
— Mike Miller, Superintendent, DPR Construction
The team had stumbled onto a new interpretive principle. When Doxel flags something as missing and the trade says it's done, don't default to assuming the data is wrong. Investigate. The discrepancy might not be a tracking error; it might be a quality flag.
Mike was direct about what happened next and what it cost. Rework followed. But by investigating when they did, the team headed off even higher costs than if the issue had been found later.
REWORK WARNING: Dismissing data because it contradicts expectation is how quality issues get buried. The cost of investigation is almost always lower than the cost of rework — especially once walls are closed.
This is not an abstract lean principle. It played out on a real job, on real infrastructure, with real rework costs. The lesson is practical: when scan data and field reports disagree, treat the disagreement as information, not noise.
Construction quality management has traditionally relied on scheduled inspections, trade self-reporting, and periodic walkthroughs. These methods work reasonably well for obvious defects. They are poor at catching components that are physically present, but are installed in the wrong place relative to the design.
Computer vision can fill this gap by comparing what is physically present against the BIM at the component level across all visible trades every week. Mislocations look identical to missing components from the system's perspective, because in both cases, the component is not where it should be.
The practical recommendation from Mike's experience is to establish a protocol for investigating discrepancies rather than defaulting to dismissal. When a trade reports complete and the system reports incomplete, send someone to review the discrepancy. It only takes minutes, but it can prevent weeks of rework.
There is a secondary benefit this story highlights: objective, time-stamped documentation of installation location for every component. On a complex facility like a data center, where systems are dense, and modifications may be needed years later, having a record of where things were actually installed, not just where they were designed to go, has ongoing operational value.
This use case wasn't in the sales deck. It emerged from a real disagreement on a real job. That's often how the most durable capabilities get discovered.
Doxel is proving that transforming an industry starts with the people behind it.
Doxel has been recognized by Forbes as one of America’s Best Startup Employers, highlighting the company’s rapid growth, strong culture, and commitment to developing talent in construction technology.
The annual Forbes ranking evaluates thousands of startup companies across the United States based on employer reputation, employee satisfaction, and growth. The recognition reflects the impact Doxel has built not only in transforming construction productivity but also in creating a workplace where employees can build meaningful careers.
You can see the full list here.
Doxel develops AI-powered construction progress tracking technology that helps owners and contractors deliver projects faster and with greater certainty. By automatically capturing jobsite data and comparing it to BIM models and project schedules, the platform provides objective visibility into construction progress and productivity.
The system helps teams eliminate manual reporting, gain objective insights, and make faster decisions across complex construction projects.
For Saurabh Ladha, CEO and Founder of Doxel, the Forbes recognition reflects years of commitment to both innovation and people.
“Our mission has always been to transform how the world builds. That requires not only great technology, but great people. Being recognized by Forbes as one of America’s Best Startup Employers is a testament to the incredible team we have built at Doxel.” - Saurabh Ladha, CEO and Founder of Doxel
Ladha added that solving construction’s productivity challenges requires long-term thinking and strong collaboration across engineering, product, and customer success teams.
Employee satisfaction has played a major role in Doxel’s recognition.
The company currently maintains a Glassdoor rating of approximately 4.1 out of 5, reflecting strong employee feedback on leadership, culture, and career opportunities.
Many employees highlight the opportunity to grow quickly within the organization and take on new responsibilities as the company scales.
“If you’re looking for a fast-growing company that genuinely supports career progression, values its people, and maintains a strong culture as it scales, Doxel is a great place to be,” said one account team member.
Another employee noted that Doxel’s leadership actively supports internal promotions and professional development.
“The career advancement opportunity has been great! I've been given several opportunities to be promoted to higher leadership roles over the past few years.”
Construction remains one of the world’s largest industries, yet productivity has stagnated for decades. According to research from McKinsey, construction productivity grew only 0.4% annually between 2000 and 2022, far behind gains in manufacturing and the broader economy.
Doxel’s technology addresses this challenge by providing automated, objective progress tracking across construction sites. The platform scans projects, compares actual progress against plans, and helps teams identify schedule risks earlier.
Companies using Doxel gain:
These insights allow project teams to make faster decisions and keep complex projects on track.
For Doxel employees across engineering, AI research, and customer success, the opportunity to solve real problems in construction has become a major motivator.
“We’re not just building software,” said Reid Senescu, Sr. Vice President of Product, Marketing, and Customer Success. “We’re helping an industry that builds hospitals, data centers, and infrastructure deliver projects faster and with more certainty.”
That mission has helped Doxel attract talent from both technology and construction backgrounds, creating a team with deep expertise across AI, robotics, and capital project delivery.
The Forbes recognition highlights Doxel’s momentum as the company continues expanding its technology platform and customer base across major global construction projects.
For Ladha, the award reflects the culture the company intends to preserve as it grows.
“Our goal is to build a company where talented people can do the best work of their careers while solving meaningful challenges for the construction industry.”
- Saurabh Ladha, CEO and Founder of Doxel
How AI progress tracking gives superintendents a signal weeks before a delay becomes a crisis
LCI Conference 2025 · Reid Senescu, Doxel & Mike Miller, DPR Construction
Every superintendent knows the feeling: a trade partner reports they're on track, the schedule says green, and then, one week before a milestone, the reality hits. The work isn't there. The cascade starts. The conversations get harder.
The problem isn't that anyone is lying. The problem is that construction progress has always been measured the same way: someone walks around, someone asks, someone estimates. By the time a deviation surfaces through normal reporting channels, weeks have passed, and the cost of recovering has multiplied.
Data-driven construction executives are disciplined in leveraging technology and processes to capture crucial information about their projects. At LCI Conference 2025, DPR Project Executive Mike Miller described how automated progress tracking changed that dynamic on his hyperscale data center project, starting with a piping trade partner whose slip he could see forming in real time.
Starting in December, Doxel's computer vision system began showing a divergence between the piping trade's actual installed quantities and their planned schedule. Not a dramatic gap at first. Just a signal.
Under traditional reporting, that gap might not have surfaced until a formal schedule update meeting or until it cascaded into delayed downstream trades. With automated tracking, Mike could see it forming week by week, grounded in automated progress tracking rather than self-reporting.
"As a leader, you only have so much time to focus on certain things. I can't focus on everything all the time. I can see who's on plan and I can focus where we have the risk."— Mike Miller, Project Executive, DPR Construction
What followed was a textbook plan-do-check-act (PDCA) loop. The trade was brought to the table. The data was shared. Initially, there was resistance — new tools, new data, trust takes time. But by year-end, the team accepted the picture and decided to add resources. Check the result. Adjust again if needed.
Mike called it "bread and butter." The system is working exactly as it should.
KEY INSIGHT Early detection gives leadership the visibility to have the right conversation at the right time.
The lean parallel is direct. In manufacturing, the Andon cord's value isn't the cord itself; it's the organizational culture that responds to it. Doxel's computer vision functions as a continuous Andon cord across the entire job site, flagging deviations the moment they're detectable, not weeks later when they've compounded.
Reid Senescu, Head of Product at Doxel, described the underlying principle: construction sites have historically lacked the sensor layer that lean manufacturing has always relied on. No factory would operate without real-time feedback on production output. Yet construction, which is far more complex and expensive, has run primarily on estimates and walking the site.
The system takes three inputs:
Computer vision compares the scan against the BIM to determine what has been physically installed at the component level across all trades and at every stage of construction. A large language model ties the schedule to the BIM, producing a real-time 4D view of the actual project state versus the planned state.
The result: trade and project-level progress data grounded in physical observation rather than self-reporting, updated at least weekly, with no additional engineering work required for onboarding.
Doxel has captured over 3 billion square feet of construction. That dataset powers the "rules of credit" — weighted effort models that let the system aggregate component-level data up to an accurate project percent complete.
What This Means for Owners and GCs
For owners, the implication of this story is straightforward: the capability exists to monitor capital investments in construction with the same rigor applied to financial data, inventory, or operational metrics. Requiring automated progress tracking in the RFP: specifying that it must cover all visible trades and at least 80 stages of construction is the most direct way to ensure this capability is on every project.
For GCs like DPR, the story is about competitive differentiation. The teams that build trust in objective data and act on it early catch problems before they cascade. They spend less on rework and recover faster.
The Andon cord is finally available for job sites. The question is how quickly the team can respond when it sounds.
Lean isn’t just a principle — it’s how Doxel is pushing the industry forward. That’s why we’re excited to join the 2025 LCI Congress in Arlington, Texas.
Doxel is proud to sponsor the 27th Annual LCI Congress in Arlington, TX, October 20–24, 2025. Visit Booth #214 to see how we help teams pioneer Lean progress with real-time, AI-powered insights.
📅 October 20–24, 2025
📍 Arlington, Texas
📍 Doxel Booth #214
🔗 Join us at LCI Congress
The Lean Construction Institute (LCI) is celebrating its 27th Annual Congress in Arlington, Texas, bringing together leaders from across the AEC industry for a week of education, networking, and Lean discovery. This event is recognized as the premier gathering for advancing Lean design and construction practices, where owners, designers, trade partners, and contractors come together to share knowledge and transform the way projects are delivered.
With the theme of pioneering progress through education, networking, and Lean discovery, LCI Congress offers attendees the opportunity to:
At Doxel, we believe Lean principles are more than a framework—they are the foundation for building certainty into every project. Our AI-powered progress tracking platform provides the objective, real-time insights teams need to eliminate waste, optimize resources, and stay ahead of schedule.
By combining computer vision with automated benchmarking, Doxel helps owners and builders align field reality with Lean schedules, creating a living plan that adjusts based on actual progress. This empowers teams to:
We are proud to sponsor LCI Congress 2025 and showcase how our platform helps advance Lean construction practices. If you’re attending, visit us at Booth #214 to see how Doxel enables real-time observability and creates confidence in delivering projects faster and more reliably.
Learn more about the event and register here: LCI Congress 2025
