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.
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founder
Andrew Tam
other
Judy Hao
other
alamgir
other
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.
Using OEM-agnostic cameras and edge compute mounted on heavy equipment, Dozer continuously captures in real-time and transforms onsite activity into productivity and progress metrics. Our AI platform identifies bottlenecks in seconds and proactively recommends solutions, empowering site managers to keep projects on budget and on time. Every deployment compounds our proprietary perception-to-decision dataset that the industry currently lacks, creating the foundation for Dozer to automate infrastructure project management.
* 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).