Dozer is an AI-native operating system for ground operations in heavy civil construction. It combines stereoscopic edge AI cameras, an onboard edge computer, and an in-cabin tablet alert system to automatically track progress, detect bottlenecks, and recommend next steps in real time — all from a single central command platform. The platform is equipment and OEM agnostic, installs in under an hour, and creates a closed-loop intelligence dataset that improves with every task processed. Dozer targets the ENR 400 and large rental fleets, and has an active strategic development and integration partnership with Trackunit, the #1 global heavy equipment telematics platform with 3M+ units installed.
US heavy civil contractors manage billion-dollar jobsites through manual data entry, radio chatter, and stale reports, costing the industry an estimated $100B per year in rework, idle equipment, labor delays, and material waste. Construction productivity has grown only 0.4% annually since 2000 while the broader economy grew at 2%, and inaccessible information remains the root cause.
Dozer deploys a stereoscopic edge AI camera system with an onboard edge computer (<150ms latency) and in-cabin tablet alerts to automatically measure progress, flag risks in real time, and recommend next steps. The platform creates a unique closed-loop dataset that compounds decision intelligence over time, enabling site managers to evaluate operations on a single source of truth without adding manual data entry.
First customer (Smith Denison Construction) saved $80K in 3 months on an $11K prototype, yielding >6.3x ROI, leading to a 3-unit expansion and growing referrals. Active paid pilots are underway with Bechtel (ENR #2 GC), Sterling (ENR #60 GC), and launching pilot at the United Rentals, the largest US rental fleet. The company has raised $500K in angel checks to date and Capital Factory All-Access Fund (2026).
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