# Field AI

**Canonical:** https://apis.io/providers/field-ai/  
**Website:** https://www.fieldai.com/  
**APIs profiled:** 0

FieldAI builds general-purpose robot intelligence through its Field Foundation Models (FFMs) and EDGE brain — a new class of physics-first, risk-aware foundation models for embodied AI. FieldAI's embodiment-agnostic autonomy lets robots navigate dynamic, unstructured environments without maps, GPS, or predefined trajectories, and has been proven across quadrupeds, humanoids, wheeled robots, and passenger-scale vehicles. Founded in 2023 (formerly AI for Humanity) and based in Mission Viejo, California, the company is led by veterans from DeepMind, Google Brain, Tesla Autopilot, NASA JPL, and SpaceX, and serves construction, energy, mining, logistics, manufacturing, power and utility, agriculture, and federal applications. FieldAI has raised over $405M from investors including Bezos Expeditions, Canaan Partners, Khosla Ventures, Temasek, Intel Capital, Hyundai Motor Company, and Prysm Capital.

## Kin Score — 11.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Field Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Robotics, Artificial Intelligence, Embodied AI, Foundation Models, Autonomy, Automation, Machine-Learning

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/field-ai/). Scores are computed from the provider's own public artifacts under a published rubric.