All figures in this article are sourced from publicly confirmed funding announcements, Insight Partners’ investment thesis, TechCrunch, and third-party revenue tracking. Sources are noted throughout. Confirm all pricing and product specifications directly with Doxel before making procurement decisions.
Where Things Stand in March 2026
Doxel remains a Series B company as of early 2026. Its most recent confirmed funding round was a $40 million Series B on August 11, 2021, led by Insight Partners with participation from Andreessen Horowitz and Amplo, bringing total funding to $56.5 million. No Series C has been announced in the nearly five years since.
As of October 2024, Doxel reported approximately $3.9 million in annual revenue — up from $2 million in December 2023 and $1.3 million in April 2021.
That combination — $56.5 million raised, $3.9 million in revenue four years after the Series B — is the central fact any AEC firm or investor needs when evaluating Doxel in 2026. The company is operationally active and growing revenue, but the trajectory relative to capital raised raises legitimate questions about long-term vendor stability that procurement teams should factor into their decisions.
Doxel’s most recent publicly confirmed commercial activities include a partnership with Stream Data Centers announced August 2025, and a partnership with MOCA Systems to integrate with Touchplan scheduling software announced January 2025. These confirm the platform is actively maintained and developing commercial relationships.
What Doxel Does
Doxel has developed software that uses computer vision to help track and monitor progress on construction job sites. The platform taps into multiple real-time data sources including 360-degree images, Building Information Models, and budget and schedule data to provide predictability and control to building owners and contractors.
Co-founder and CEO Saurabh Ladha describes the platform as the “Waze for Construction” — designed to help prevent a domino effect of delays and heightened costs. Ladha was inspired to start the company after his family nearly suffered financial catastrophe following a two-year delay on a major construction project in India. He teamed up with Robin Singh in 2015 to build a computer-vision-powered predictive analytics platform designed to help owners and contractors navigate problems before they happen.
The platform enables project teams to track progress across 100% of the site, using AI to predict future delays or cost overruns so teams can react early and mitigate impacts before they compound.
Confirmed Performance Claims
Doxel has made the following specific performance claims. These are attributed directly to the company and should be treated as marketing figures pending independent verification:
The company claims its technology has helped customers come in up to 11% below budget on projects and see an average 38% increase in productivity. Doxel says it has tracked tens of billions of capital expenditure for Fortune 500 companies including Kaiser Permanente and Royal Dutch Shell, and claims to have saved companies tens of millions of dollars with its predictive technology.
In one documented instance on a multi-billion dollar project, Doxel’s platform found that more than 12% of a piping system had not yet been installed — contrary to the client’s expectation. The AI predicted a three-week delay and a multi-million dollar cost overrun, enabling the customer to take corrective action before it became a crisis.
These are Doxel’s own claims. Request verified customer references before making procurement decisions.
Confirmed Integrations
Doxel has confirmed integrations with Oracle’s Primavera P6 for scheduling (September 2022), Touchplan via MOCA Systems (January 2025), and a partnership with Stream Data Centers (August 2025). The data center partnership is notable — it aligns with the broader AI infrastructure construction boom currently underway in the US market.
Technology Strengths and Limitations
Based on publicly available information and the nature of computer vision technology, the following applies broadly to the category:
Strengths: Systematic site coverage that human observation cannot match. Integration of visual data with schedule and BIM enables predictive analytics — not just documenting what happened but anticipating what is likely to happen next. Historical photo databases provide evidentiary value for dispute resolution and subcontractor payment validation.
Inherent limitations: The platform requires accurate, maintained BIM models to function reliably. Inaccurate or outdated BIM models produce unreliable comparisons. Work concealed within walls or buried underground cannot be assessed visually. False positives — where the system flags non-issues — are a documented challenge across the computer vision category and vary by project complexity.
Competitive Context in 2026
The construction computer vision category has matured considerably since Doxel’s 2021 Series B. Confirmed funded competitors include:
| Platform | Total funding | Notable recent development |
| Buildots | $166M (Series D, May 2025) | Active and growing; data centre focus |
| OpenSpace | Significant VC backing | Large customer base; lower price point |
| Reconstruct | VC backed | Drone-based exterior focus |
| Disperse | VC backed | European market focus |
Buildots’ Series D in May 2025 — raising to $166M total — represents a significant funding gap relative to Doxel’s position. For firms choosing between computer vision platforms, the relative financial trajectory of each vendor is a legitimate factor alongside product capability.
The Vendor Stability Question
This is the central editorial observation for 2026: Doxel raised $56.5 million, has generated $3.9 million in revenue as of October 2024, and has not announced further funding in nearly five years. The company is still operating, still signing commercial partnerships, and still being cited in industry research. But the gap between capital raised and revenue generated, combined with the absence of a Series C, means this is a vendor that requires careful due diligence before a multi-year commitment.
CB Insights included Doxel in its August 2025 list of 280 AI companies automating the construction industry— confirming the company remains active and visible in the market. That is a positive signal. It does not resolve the financial trajectory question.
Before committing to Doxel on any project: ask directly about current financial position and path to sustainability, understand the contract terms for data portability if the product is discontinued or acquired, and negotiate the shortest contract term that still delivers the pilot value you need.
What Customers Should Consider
These are editorial observations from AECO.digital. They are not procurement recommendations.
Stronger fit:
- Data center construction — confirmed partnership with Stream Data Centers signals focused development here
- Projects with accurate, actively maintained BIM models
- Complex commercial construction where early issue detection has high financial value
- Fortune 500 owners with dedicated project controls teams who can absorb implementation overhead
Weaker fit:
- Projects without BIM or with poor model quality
- Organizations requiring long-term vendor continuity guarantees
- Short-duration projects where implementation cost outweighs benefit
Before committing: Request verified customer references from similar project types. Confirm current financial position directly. Negotiate data portability provisions. Do not commit to multi-year contracts without understanding the vendor’s current runway position.
AECO.digital covers AEC technology independently. We have no commercial relationship with Doxel or any platform mentioned in this article.
