Doxel
Doxel is an AI construction progress-tracking platform that turns site scans into objective work-in-place data, helping owners and general contractors keep projects on schedule and on budget.
Best for: Owners and general contractors on large, complex builds (data centers, healthcare, semiconductor, EV battery) who need objective progress data and earlier risk detection.
Last reviewed 6/2/26
- Integrations
- BIM models, project schedules
- Property types
- data centers, healthcare, semiconductor, industrial, commercial
- Geography served
- United States
How Doxel uses AI[1][2][3][4]
Doxel uses computer vision and 3D semantic deep learning to compare reality-capture scans of a job site against the BIM model and schedule. It measures completed work by component and trade, then flags schedule and budget risks before they grow.
- • Analyzes 360-degree video and lidar scans of the site against the BIM model to measure work in place
- • 3D semantic deep-learning recognizes installed components by shape, size, and location
- • Predicts schedule and budget risk so owners and GCs can act before delays compound
AI type: Computer vision and deep learning
Legacy platform
Key numbers[1][2]
- • Customers deliver projects on average 11% ahead of schedule with up to 16% monthly cash flow savings
- • Provides 99%+ accurate work-in-place reporting
- • Tracked 3+ billion square feet of construction
Credibility[2][5][6]
- Founders
- Co-founded by Saurabh Ladha (CEO, Forbes 30 Under 30) and Robin Singh.
- Customers
- Used by 18 of the top 30 general contractors by volume and 14 of the top 20 data center developers; named customers include DPR Construction, Layton Construction, Sundt Construction, and QTS Data Centers.
- Investors
- Insight Partners, Andreessen Horowitz (a16z), Amplo, Pear VC.
Founded
2016
Headquarters
Redwood City, California, USA
Stage
Series B
Employees
100-250
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