FieldAI

Field AI · Inspection · Commercial since 2024

Last updated: 2026-04

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Summary

FieldAI is a legged-robot autonomy platform that pairs a sensor-compute payload with a Boston Dynamics Spot to run autonomous site inspections on active construction projects. It covers six documented subtasks across safety monitoring, daily walkthroughs, 3D scanning, BIM-to-field comparison, and defect tracking; the superintendent and safety team still own interpretation, response, and corrective action. FieldAI has been shipping since 2024 with four confirmed construction deployments across two named customers (DPR Construction and Big-D Construction) and two unnamed top-10 ENR firms.

PPE Compliance Monitoring Hazard Identification and Unsafe Behavior Detection Daily Walkthrough and Progress Documentation 3D Scanning and Point Cloud Capture BIM-to-Field Comparison (Scan-vs-BIM) Defect Identification and Punch List / Closeout Tracking

How it works on your site

PPE Compliance Monitoring

The robot traverses active floors and identifies workers missing required PPE, then flags violations to the project team. The safety manager still reviews each alert and determines the response.

Hazard Identification and Unsafe Behavior Detection

The system uses onboard vision and LiDAR to scan for physical hazards: standing water, blocked egress routes, holes, drop-offs, slippery surfaces, and machinery proximity. The safety team reviews flagged conditions and decides on remediation.

Daily Walkthrough and Progress Documentation

The robot runs scheduled or on-demand documentation passes on a daily cadence, capturing photo and scan data across each floor. It replans its path when site conditions change between runs. The superintendent reviews the captured data rather than walking the floors for routine documentation.

3D Scanning and Point Cloud Capture

The robot generates 360-degree scans using LiDAR and vision sensors, processing all data on-edge without cloud connectivity. NVIDIA Omniverse NuRec handles 3D reconstruction from the captured data.

BIM-to-Field Comparison (Scan-vs-BIM)

The system overlays captured scans against BIM models to identify deviations from the design intent. The robot navigates without prior maps or GPS, relying on SLAM and on-edge processing to build its own spatial reference as it moves through the site.

Defect Identification and Punch List / Closeout Tracking

The robot captures daily scan data that feeds defect identification and progress tracking against the project schedule. The project team still owns the punch list workflow, interpretation of flagged items, and closeout documentation.

What users have experienced

100 ms

Performance

Field AI

90%

Time saving

Field AI

45000 photos

Performance

Field AI

Robot deployment record

4 deployments on public record

Deployments on record for this robot
Project Organizations Country Detail
DPR Construction Data Center production DPR construction Not stated
Unnamed construction projects production Not stated Not stated
ATX Tower (58-story mixed-use) demonstration Ryan Companies US, Inc. Not stated
Multiple construction projects production Big-D Construction USA

Other companies that have deployed this robot

4 organizations on record for this robot

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Will it work on your site

Operating weight 32.7 kg base (Spot with battery, excluding FieldAI payload)
Navigation Foundation-model-based localization and mapping, no GPS required
Throughput 90%+ reduction in inspection and documentation time vs. manual walkthroughs Based on DPR Construction deployment; 45,000+ photos and 500,000 sq ft of interior scanning on one project.
Battery runtime ~90 min per charge (Spot platform); hot-swappable batteries, dock recharge to 80% in ~50 min Runtime varies with terrain, payload, and speed. Payload-equipped runtime may be shorter than platform baseline.
Multi-floor access Stair-climbing capable (Spot platform); 4-floor mapping confirmed in production deployment Stair-climbing is a Spot platform capability. Freight elevator or manual repositioning may be needed for some buildings.