{"id":"1b345ba7-3f62-4e8a-9009-e9d56535557d","slug":"field-foundation-models","name":"Field Foundation Models (FFMs)","description":"Field AI, a US startup led by founder and chief executive Ali Agha, builds Field Foundation Models, which it describes as physics-first, embodiment-agnostic autonomy models for GPS- and map-denied unstructured environments that let robots navigate without maps, GPS, or pre-defined trajectories. The models are proprietary, with no published model card or paper, the technical claims living on company and PR pages and in patents. The registry records the brain at commercial maturity on the strength of the strongest deployed-wiring story among the newly added emerging brains, though a customer-anonymized one: the models run across humanoids, quadrupeds, and wheeled and legged platforms in construction, energy and oil and gas, mining, logistics and urban delivery, inspection, and federal work, with the company citing deployments across hundreds of complex real-world industrial environments and multiple expansion contracts, credible commercial traction but with no named customer or site in primary sources. Field AI has raised $405 million across two rounds, the larger a $314 million oversubscribed round announced August 20, 2025 at a reported valuation around $2 billion, from investors including Bezos Expeditions, Nvidia's NVentures, Khosla, Intel Capital, Temasek, BHP Ventures, and Samsung. It occupies a distinct niche, industrial and field robotics in GPS-denied environments, versus the manipulation- and driving-focused brains, while its model card and paper are absent so all model claims are company-sourced, its deployments are real but anonymized and unverifiable at the named-site level, and its physics-first architectural specifics and precise valuation are not verified.","brainType":"foundation-model","isOpen":false,"maturityStage":"commercial","architecture":"Physics-first, embodiment-agnostic field/mobility autonomy foundation models for GPS-/map-denied unstructured environments (navigation + mobile autonomy without maps/GPS/pre-defined trajectories).","reviewStatus":"reviewed","sources":[{"url":"https://www.therobotreport.com/fieldai-raises-405m-scales-physics-first-foundation-models-robots/","title":"Field AI raises $405M ($314M round Aug 2025); physics-first foundation models","sourceName":"The Robot Report"},{"url":"https://www.fieldai.com/technology","title":"Field Foundation Models: physics-first, embodiment-agnostic, map/GPS-free autonomy","sourceName":"Field AI (official)"},{"url":"https://www.constructiondive.com/news/fieldai-funding-robotics-startup-work/758711/","title":"Field AI funding; deployments across construction/energy/industrial robots","sourceName":"Construction Dive"},{"url":"https://www.fieldai.com/news/fieldai-announces-over-400m-in-funds-raised-to-advance-embodied-ai-at-scale","date":"2025-08-20","title":"FieldAI Announces Over $400M in Funds Raised to Advance Embodied AI at Scale","sourceName":"FieldAI"}],"keyFacts":[{"label":"Model","value":"Field Foundation Models (FFMs): 'physics-first', embodiment-agnostic autonomy models for GPS-/map-denied unstructured environments; navigate without maps, GPS, or pre-defined trajectories. Proprietary; no published model card or paper (claims on company/PR pages + patents)."},{"label":"Deployed wiring (strongest of the new-emerging set, but anonymized)","value":"Runs across humanoids, quadrupeds, and wheeled/legged platforms (embodiment-agnostic) in construction, energy/oil&gas, mining, logistics/urban delivery, inspection, federal. Company cites deployments across 'hundreds of complex real-world industrial environments' + 'multiple expansion contracts' - credible commercial traction, but NO named customer/site in primary sources."},{"label":"Provider","value":"Field AI (US; founder/CEO Ali Agha). $405M raised across two rounds (larger $314M, Aug 20 2025; oversubscribed; reported ~$2B valuation). Investors: Bezos Expeditions, NVentures (Nvidia), Khosla, Intel Capital, Temasek, BHP Ventures, Samsung."},{"label":"Cap-flag","value":"No published model card or paper - all model claims company-sourced; deployments real but customer-ANONYMIZED ('hundreds of environments' unverifiable at the named-site level). 'Physics-first' architectural specifics + precise valuation unverified."},{"label":"FFM physics-first framing (primary FieldAI)","value":"FieldAI's Aug 20 2025 release says Field Foundation Models (FFMs) are a class of physics-first foundation models built for embodied intelligence, designed from the ground up for uncertainty, risk, and physical constraints rather than retrofitting vision or language models. It says FFMs enable navigation of dynamic unstructured environments without prior maps, GPS, or predefined paths. Treat capability framing as company-stated (FieldAI)"},{"label":"Embodiments and $405M (primary FieldAI)","value":"The same FieldAI release says FFMs have been proven across quadrupeds, humanoids, wheeled robots, and passenger-scale vehicles with a hardware-agnostic design, and that FieldAI raised $405 million across two consecutive rounds with investors including Bezos Expeditions, Canaan, Khosla, NVentures, Temasek, and others. Treat funding and embodiment claims as company-stated (FieldAI)"}],"aliases":["Field Foundation Models","FFM","Field AI FFM"],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-06-03T20:52:20.348Z","updatedAt":"2026-10-09T22:00:51.369Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/field-foundation-models","url":"https://registry.deploy.report/brains/field-foundation-models","name":"Field Foundation Models (FFMs)","alternateName":["Field Foundation Models","FFM","Field AI FFM"],"description":"Field AI, a US startup led by founder and chief executive Ali Agha, builds Field Foundation Models, which it describes as physics-first, embodiment-agnostic autonomy models for GPS- and map-denied unstructured environments that let robots navigate without maps, GPS, or pre-defined trajectories. The models are proprietary, with no published model card or paper, the technical claims living on company and PR pages and in patents. The registry records the brain at commercial maturity on the strength of the strongest deployed-wiring story among the newly added emerging brains, though a customer-anonymized one: the models run across humanoids, quadrupeds, and wheeled and legged platforms in construction, energy and oil and gas, mining, logistics and urban delivery, inspection, and federal work, with the company citing deployments across hundreds of complex real-world industrial environments and multiple expansion contracts, credible commercial traction but with no named customer or site in primary sources. Field AI has raised $405 million across two rounds, the larger a $314 million oversubscribed round announced August 20, 2025 at a reported valuation around $2 billion, from investors including Bezos Expeditions, Nvidia's NVentures, Khosla, Intel Capital, Temasek, BHP Ventures, and Samsung. It occupies a distinct niche, industrial and field robotics in GPS-denied environments, versus the manipulation- and driving-focused brains, while its model card and paper are absent so all model claims are company-sourced, its deployments are real but anonymized and unverifiable at the named-site level, and its physics-first architectural specifics and precise valuation are not verified.","identifier":"1b345ba7-3f62-4e8a-9009-e9d56535557d","applicationCategory":"foundation-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"commercial","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":4,"primary_source_types":["primary-company-ir","secondary-trade-publication"]}}}