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§ Private Profile · 101 Jefferson Dr, Ste 240. Menlo Park, CA 94025
AI-powered project controls platform for construction, using computer vision to track progress, forecast delays, and improve predictability.
Doxel has raised $57.0M across 3 funding rounds.
Key people at Doxel.
Doxel has raised $57.0M in total across 3 funding rounds.
Based in San Francisco, California, Doxel develops an artificial intelligence-powered project controls platform that utilizes computer vision and predictive analytics to monitor construction site progress. The enterprise software analyzes video footage alongside 3D designs, budgets, and schedules to help project owners and contractors forecast delays and estimate cost overruns. The company has secured venture capital backing, including a $12 million Series A round in 2020 followed by a $40 million Series B financing in August 2021 led by Insight Partners and Andreessen Horowitz. Following its Series A, the SaaS business reported achieving cash flow neutrality while reaching a valuation multiple exceeding four times its previous round during the Series B raise. The executive team has garnered industry recognition, with leadership receiving accolades from Forbes and Goldman Sachs. Doxel was founded in 2015 by Saurabh Ladha and Robin Singh.
Key people at Doxel.
Doxel has raised $57.0M in total across 3 funding rounds.
Doxel's investors include Insight Partners, Accel, Alchemy Ventures, Cedar Capital Group, General Catalyst, Global Founders Capital, Gradient Ventures, Greenoaks Capital, Index Ventures, La Famiglia, Lightspeed Venture Partners, Luno Expeditions.
Doxel has raised $57.0M across 3 funding rounds. Most recently, it raised $40.0M Series B in August 2021.
# High-Level Overview
Doxel is an AI-powered construction technology company that automates progress tracking and project management for large-scale construction projects.[1] Founded in 2015 and headquartered in Redwood City, California, Doxel uses computer vision and machine learning to capture real-time data on construction sites, enabling project teams to measure progress, inspect quality, and optimize budgets and schedules with unprecedented accuracy.[1][3]
The company serves a blue-chip customer base, including 18 of the top 30 general contractors by volume, 14 of the top 20 data center developers, and major healthcare and EV battery manufacturing projects.[3] Doxel's core value proposition is straightforward: replace manual progress tracking with automated, data-driven insights that help construction teams deliver projects 11% ahead of schedule while achieving up to 16% savings on monthly cash flow.[3]
# Origin Story
Doxel emerged from the recognition that construction—a $2 trillion global industry—still relies heavily on manual, subjective progress tracking methods. The company was founded in 2015 by entrepreneurs with deep construction and technology expertise, including co-founder and CEO Saurabh Ladha.[1] The founding team combined practical construction knowledge with advanced AI capabilities, positioning Doxel to solve a fundamental pain point: the lack of objective, real-time visibility into construction site progress.
The company has achieved significant traction, raising $57 million in funding backed by prominent venture investors including Andreessen Horowitz and Insight Partners.[3] This capital has enabled Doxel to scale its engineering team and expand its customer base to track over 1 billion square feet of construction.[3]
# Core Differentiators
# Role in the Broader Tech Landscape
Doxel operates at the intersection of three powerful trends: the digital transformation of construction, the maturation of computer vision technology, and the industry's urgent need for data-driven decision-making. Construction has historically lagged other industries in technology adoption, creating a massive opportunity for AI-native solutions that can extract actionable intelligence from unstructured site data.
The timing is particularly favorable as BIM adoption has become standard practice among large contractors, providing the foundational data layer that Doxel's algorithms require. Additionally, the construction industry faces mounting pressure to improve project delivery timelines and cost control—challenges that manual tracking cannot adequately address. By automating progress measurement, Doxel enables construction teams to make faster, more informed decisions about resource allocation, trade coordination, and schedule adjustments.
The company's influence extends beyond its direct customers; by demonstrating that construction sites can be systematically measured and analyzed, Doxel is helping legitimize data-driven practices across an industry traditionally resistant to quantitative management approaches.
# Quick Take & Future Outlook
Doxel is positioned to become the operating system for construction project visibility. As the company scales its customer base among top-tier general contractors and specialized builders, it will accumulate increasingly valuable historical datasets that can power predictive analytics—forecasting delays, cost overruns, and productivity bottlenecks before they occur.
The next phase of growth likely involves expanding beyond progress tracking into adjacent use cases: workforce optimization, safety monitoring, and quality assurance. The company's hierarchical construction ontology and machine learning capabilities provide a strong foundation for these extensions. Additionally, as Doxel's data library grows, it could become a valuable benchmarking resource, allowing contractors to compare their productivity against industry standards.
The broader construction technology ecosystem will likely benefit from Doxel's success, as it validates the market opportunity and attracts further investment in AI-powered construction solutions. For Doxel itself, the challenge will be maintaining product focus while capitalizing on the expanding data moat—a classic scaling problem that will define its trajectory over the next three to five years.
