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ToolFieldAI/10 trustVerified

FieldAI

Physics-first foundation models that give industrial robots autonomy in unstructured, off-map environments.

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About

FieldAI sells autonomy software for robots that must work where maps go stale and GPS fails: construction sites, mines, energy plants. Its Field Foundation Models combine data-driven AI with physics-based reasoning and uncertainty quantification, so robots can navigate and act in places they were never explicitly trained for, with no pre-mapped layouts, fixed paths, or cloud connection required. The company says the software runs entirely on-edge and is robot-agnostic across platforms.

The traction is unusually concrete for this space. FieldAI raised $405 million at a $2 billion valuation across two 2025 rounds, backed by Bezos Expeditions, NVentures, Temasek, and Khosla Ventures. It has partnerships with Boston Dynamics (pairing its models with Spot for inspection and mapping) and Caterpillar (advancing AI-powered industrial operations), plus a Singapore deployment with Certis for security robotics. The leadership team comes from Google DeepMind, NASA JPL's Mars program, and DARPA's Subterranean Challenge. Everything here is enterprise deployment, so independent evaluation of the autonomy claims is not possible from public material.

What it can do

  • Field Foundation Models: physics-first autonomy for unstructured environments
  • On-edge operation with no cloud connection required
  • Robot-agnostic deployment across different platforms
  • Risk-aware decision making with uncertainty quantification
  • Fleet-level learning shared across deployments
  • Partnerships with Boston Dynamics Spot and Caterpillar for industrial use

Setup

  1. Reach out via fieldai.com with your site and robot platform details; onboarding is an enterprise deployment.
  2. Run a pilot with the FieldAI team on your unstructured environment (construction, mining, energy, or similar).
  3. Deploy Field Foundation Models onto your robots with on-edge compute.
  4. Scale across sites and fleets, with learnings shared across deployments.

Prerequisites

Industrial robot platforms and a deployment site; an enterprise contract with FieldAI.

Use cases

robot-autonomyindustrial-roboticsfleet-managementedge-ai

Works with

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: $405M raise at $2B valuation (TechFundingNews, 2025) with named investors; partnerships confirmed on Boston Dynamics' and Caterpillar's own sites; fieldai.com verified live with current deployment claims. Strengths: deep team pedigree, named enterprise partners, real deployments across three continents. Docked for: (1) autonomy capabilities are provider-claimed with no public benchmarks; (2) enterprise-only with no public pricing or trials. License: proprietary.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.0/10
Maintenance · recency, releases, issue load
9.0/10
Openness · license + docs
6.0/10
Manual review · sanity read + red-flag check
9.0/10
  • · $405M raised at $2B valuation across two 2025 rounds (TechFundingNews), investors: Bezos Expeditions, NVentures, Temasek, Khosla Ventures
  • · Boston Dynamics partnership confirmed on bostondynamics.com; Caterpillar partnership confirmed on metaltechnews/barchart; Certis Singapore deployment
  • · fieldai.com verified live with deployment map across three continents and Sept 2026 Caterpillar press release
  • · Team roots: Google DeepMind, NASA JPL Mars program, DARPA Subterranean Challenge

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.