{"id":"950fb8b5-4455-42ee-8a2b-378aae81f443","name":"FieldAI","slug":"fieldai","description":"FieldAI develops Field Foundation Models (FFMs), a class of physics-first foundation models for embodied intelligence that enable robots to navigate unstructured, GPS-denied environments without maps or predefined trajectories. The company's hardware-agnostic autonomy software runs on third-party robots — including Boston Dynamics Spot quadrupeds — via a sensor-compute payload and EDGE on-device runtime. Founded by veterans of NASA JPL, Google DeepMind, and DARPA robotics challenges, FieldAI deploys across construction, energy, mining, and logistics with a federated learning flywheel that compounds model performance from real-world fleet data.","status":null,"founded":2023,"hq":"Irvine, CA, USA","hqLat":null,"hqLng":null,"hqGeocodedAt":null,"hqAddress":null,"hqPrecision":null,"website":"fieldai.com","fundingTotal":null,"type":"brain","roles":["robot_maker"],"reviewStatus":"reviewed","lifecycleState":"active","supersededByCompanyId":null,"sources":[],"keyFacts":[{"label":"CEO","value":"Ali Agha"},{"label":"President & Chief Scientist","value":"Shayegan Omidshafiei"},{"label":"CTO","value":"David Fan"},{"label":"CFO","value":"Duncan McIntyre"},{"label":"Total Funding","value":"$405M (August 2025)"},{"label":"Valuation","value":"$2 billion (August 2025)"},{"label":"Revenue Milestone","value":"$100M in contracted revenue, 30 customers (June 2026)"},{"label":"Key Partner","value":"Boston Dynamics (Spot quadruped fleet)"},{"label":"Key Investors","value":"Khosla Ventures, NVentures (NVIDIA), Intel Capital, Bezos Expeditions, Gates Frontier (Bill Gates), Samsung, Temasek, Canaan Partners, Hyundai Motor Group"},{"label":"Headquarters","value":"Irvine, CA, USA"},{"label":"Founded","value":"January 2023"},{"label":"Product","value":"Field Foundation Models (FFMs) — physics-first autonomy software for robots"},{"label":"Deployments","value":"Hundreds of real-world environments across construction, energy, mining, logistics in Japan, Europe, and the U.S."},{"label":"DARPA Heritage","value":"Founding team won DARPA Subterranean Challenge Urban Circuit (2020) as Team CoSTAR at NASA JPL"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"atsProvider":null,"atsSlug":null,"factoryLocations":null,"manufacturingCapacity":null,"orgType":null,"burnSignal":null,"litigationEvents":null,"insurancePostureDisclosed":null,"unitEconomicsDisclosed":null,"tickerSymbol":null,"stockExchange":null,"secCik":null,"revenueUsd":null,"revenueBasis":null,"revenueAsOf":null,"employeeCount":250,"employeeCountBasis":null,"employeeCountAsOf":null,"marketCapUsd":null,"marketCapAsOf":null,"marketCapSource":null,"createdAt":"2026-08-25T02:29:17.922Z","updatedAt":"2026-08-25T03:04:04.580Z","jsonLd":{"@context":"https://schema.org","@type":"Organization","@id":"https://registry.deploy.report/companies/fieldai","url":"https://registry.deploy.report/companies/fieldai","name":"FieldAI","description":"FieldAI develops Field Foundation Models (FFMs), a class of physics-first foundation models for embodied intelligence that enable robots to navigate unstructured, GPS-denied environments without maps or predefined trajectories. The company's hardware-agnostic autonomy software runs on third-party robots — including Boston Dynamics Spot quadrupeds — via a sensor-compute payload and EDGE on-device runtime. Founded by veterans of NASA JPL, Google DeepMind, and DARPA robotics challenges, FieldAI deploys across construction, energy, mining, and logistics with a federated learning flywheel that compounds model performance from real-world fleet data.","identifier":"950fb8b5-4455-42ee-8a2b-378aae81f443","foundingDate":"2023","address":"Irvine, CA, USA","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"claimed-not-verified","maturity_stage":null,"lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":0,"primary_source_types":[]}}}