FieldAI
Irvine, California robotics AI company whose Field Foundation Models let robots such as Boston Dynamics Spot autonomously capture construction sites and flag deviations from BIM.
Definition
FieldAI is an Irvine, California company founded in 2023 that builds Field Foundation Models (FFMs), embodied AI models that let robots navigate changing, unmapped environments without GPS, prior maps, or pre-planned routes. In construction, FieldAI-enabled robots, notably Boston Dynamics' Spot quadruped, walk active sites on scheduled missions, including overnight, capturing 360-degree 3D scans and photos so teams can track daily progress, compare as-built conditions to BIM or digital twin models, and flag deviations and hazards. In a published case study with DPR Construction on a data center project, robots captured more than 45,000 photos, walked over 100 miles, and scanned 500,000 square feet of interiors. FieldAI raised $405 million across two rounds announced in August 2025 from investors including Bezos Expeditions, NVentures, Khosla Ventures, and Temasek, and reported in June 2026 more than $100 million in revenue and contracts from over 30 customers. The software also runs on other robot types and serves energy, mining, and logistics. Pricing is not published; contact the vendor.
In Depth
Reality capture pays off only if it happens on a regular cadence, and on a busy site the person carrying the 360 camera or laser scanner is usually a field engineer with other work to do. FieldAI takes that walk off the schedule. Its models give robots like Boston Dynamics' Spot enough spatial understanding to move through a site that changes daily, without GPS, prior maps, or fixed routes, so a mission set on a dashboard can run overnight and have scans ready by morning.
The construction value is in what the scans feed. Consistent, repeated capture lets teams compare as-built conditions to the BIM model, spot deviations before the next trade covers them, and keep a dated visual record of the job. DPR's data center deployment, with more than 45,000 photos and 500,000 square feet scanned, is the most detailed public example. FieldAI itself is a horizontal robotics company; construction is one of several markets alongside energy, mining, and logistics.
When evaluating it, the robot is only half the purchase. Confirm where scan data lands (your existing progress or digital twin tool, or FieldAI's), how missions are set up as floors open and close, what site conditions stop the robot, and how the capture cadence compares to what your team already does manually.
Examples
A GC schedules an overnight Spot mission so fresh 3D scans of each floor are ready for the morning coordination meeting
A project engineer compares a robot's as-built scan against the BIM model to catch misplaced MEP rough-ins before drywall
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Frequently Asked Questions
FieldAI is an Irvine, California company founded in 2023 that builds Field Foundation Models (FFMs), embodied AI models that let robots navigate changing, unmapped environments without GPS, prior maps, or pre-planned routes. In construction, FieldAI-enabled robots, notably Boston Dynamics' Spot quadruped, walk active sites on scheduled missions, including overnight, capturing 360-degree 3D scans and photos so teams can track daily progress, compare as-built conditions to BIM or digital twin models, and flag deviations and hazards. In a published case study with DPR Construction on a data center project, robots captured more than 45,000 photos, walked over 100 miles, and scanned 500,000 square feet of interiors. FieldAI raised $405 million across two rounds announced in August 2025 from investors including Bezos Expeditions, NVentures, Khosla Ventures, and Temasek, and reported in June 2026 more than $100 million in revenue and contracts from over 30 customers. The software also runs on other robot types and serves energy, mining, and logistics. Pricing is not published; contact the vendor.
A GC schedules an overnight Spot mission so fresh 3D scans of each floor are ready for the morning coordination meeting. A project engineer compares a robot's as-built scan against the BIM model to catch misplaced MEP rough-ins before drywall.
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