Brain
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.
Foundation model · Maturity: Commercial · Closed
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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).
Key facts
- Model
- 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).
- Deployed wiring (strongest of the new-emerging set, but anonymized)
- 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.
- Provider
- 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.
- Cap-flag
- 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.
Developed by (1)
Common questions
- What is Field Foundation Models (FFMs)?
- 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.
- What type of AI is Field Foundation Models (FFMs)?
- Field Foundation Models (FFMs) is a foundation model on the DEPLOY registry. It is proprietary.
- Who developed Field Foundation Models (FFMs)?
- Field Foundation Models (FFMs) is credited to Field AI on the DEPLOY registry. Each developer attribution is verified via primary sources.
- Which robots run on Field Foundation Models (FFMs)?
- No robot models on the DEPLOY registry are recorded as running Field Foundation Models (FFMs). DEPLOY wires brain-to-model connections only when the wiring is verifiable from primary sources; absence may reflect pre-deployment or unverified manufacturer claims.
- Is Field Foundation Models (FFMs) open source?
- No. Field Foundation Models (FFMs) is recorded as proprietary on the DEPLOY registry. Model weights and source are not publicly available.
- What is Field Foundation Models (FFMs)'s maturity stage?
- Field Foundation Models (FFMs) is at the commercial stage on the DEPLOY maturity ladder. Commercial stage means production-grade deployments are operating at named customer sites.
Sources (3)
Canonical ID 1b345ba7-3f62-4e8a-9009-e9d56535557d