Drone imagery in. A verified answer to "how much did we actually build?" out - in hours, not weeks.
On most construction projects, the truth about progress still arrives late and by hand. Someone walks the site, counts what's finished, marks a spreadsheet, and reconciles it against a design that may be weeks out of date. On a utility-scale solar farm or a multi-mile stretch of highway, that gap between what got built and what anyone can prove got built is where money quietly disappears.
AI Clearing was founded in 2019 to close that gap. The Austin- and Warsaw-based company flies drones over infrastructure sites, then runs the captured imagery through a proprietary AI engine that measures progress against the design, the schedule, and the budget. What comes back is not a folder of photographs. It is a quantified answer: this much got built, here is where it deviates from the plan, and here is what to fix.
The company describes its core product as a construction intelligence hub that ingests drone data, CAD and BIM designs, project schedules, and mobile field inputs, then unifies them into a single source of truth. The pitch is less about the drone and more about the speed of the answer - analyzed data typically delivered within hours of a flight.
Its founders came to the problem with credentials that matter in a skeptical industry. CEO Michael Mazur spent two decades in technology and consulting, including a stint as a Partner at PwC. CTO Adam Wisniewski led PwC's drone solutions practice before leaving to build the company. Neither is a construction outsider selling software from a distance.
"Our customers require trustworthy, reliable, and accurate AI results as they work on large, multi-billion-dollar infrastructure projects."
Big infrastructure loses fortunes to rework, disputes, and reporting that lags reality. AI Clearing attacks three specific pains: knowing exactly what got built, catching quality deviations before they cascade, and producing evidence solid enough to support billing, claims, and lender reporting. The bet is simple - discover the deviation this week instead of next quarter.
A centralized intelligence hub that ingests and unifies drone data, CAD/BIM designs, schedules, budgets, and mobile field apps into a single source of truth.
Drone-based, AI-processed progress measurement that quantifies built work against design and schedule, with reports typically delivered within hours of flight.
Automated detection of deviations and deficiencies, digital QC checklists, and geolocated issue mapping to catch problems early.
Online dashboards with quantified metrics and cross-section analytics that support claims, bill verification, and schedule adherence.
Figures below are outcomes AI Clearing reports for its platform. Bars are scaled for illustration.
The reality-capture and construction-monitoring space is crowded - OpenSpace, DroneDeploy, Buildots, Disperse, Reconstruct, and Propeller Aero all compete for a piece of the job site. Many lean toward interior progress via 360 cameras or generic drone mapping. AI Clearing's focus is narrower and heavier: outdoor, linear, utility-scale infrastructure where geospatial accuracy and quantified progress against design matter most.
Its clearest signal of intent is governance. In 2023, AI Clearing became the first technology company in the world to have its AI management system certified against ISO 42001, audited by SGS in roughly six months. On projects worth billions, an AI that hallucinates is not a quirk - it is a liability. Certifying the process is a way of telling contractors and lenders the numbers can be trusted.
The company also frames itself as more than a dashboard vendor. Recent positioning describes a computer-vision foundational model and an agentic platform built specifically for construction, spanning the full project lifecycle from early earthworks through operations and maintenance.
And the business is not theoretical. Named customers include utility-scale solar and renewables players such as PCL Solar, Rosendin Renewables, and BayWa r.e. - the kind of megaproject builders for whom a few percentage points of cost or a caught deviation translates into real money.
Led by Prudence, with FJ Labs and existing investors.
Across seed and Series A financing to date.
Prudence, FJ Labs, Tera Ventures, Inovo, Innovation Nest.
"Make construction monitoring fully automatic and transparent - with real-time AI that tracks progress, verifies quality, and delivers field intelligence."
Michael Mazur and Adam Wisniewski found the company to apply AI and drones to construction progress tracking.
The AI-native platform begins unifying drone, design, and schedule data into a single construction intelligence hub.
Prudence leads a $14M round with FJ Labs and existing investors, following reported 15x revenue growth.
SGS certifies AI Clearing's AI management system to ISO 42001 - a first for any technology company.
The company reframes itself around a computer-vision foundational model and agentic platform for construction.
AI Clearing says its dataset covers area at a scale comparable to roughly 45 times the city of Paris.
Both founders came from PwC - Mazur as a Partner, Wisniewski as its Drone Solutions Director.
The company reports more than a quarter-million developer hours invested in its platform.
US headquarters in Austin, deep engineering roots in Warsaw, Poland.