Meta FAIR: robot AI company

Overview

Meta's Fundamental AI Research division. PyTorch ecosystem and robot learning research, Habitat simulation platform for embodied AI.

Verified record

Verified deployments: None on file
Active incidents: None on file

Meta FAIR on the deployment map

View the global map

Meta FAIR has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.

Free to use on your site, with a link back to DEPLOY.

The global deployment map →

No verified deployments for Meta FAIR on the DEPLOY record yet. Track Meta FAIR to know the moment the first one is verified.

Current leadership (1)

Yann LeCun Chief AI Scientist

Safety record

No incidents on record for Meta FAIR.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Full safety record: incidents, sourcing, and exposure data →

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Record createdAug 9, 2026
Added to the verified registry

Full change history →

Common questions

What is Meta FAIR?

Meta's Fundamental AI Research division. PyTorch ecosystem and robot learning research, Habitat simulation platform for embodied AI.

What does Meta FAIR make?

Meta FAIR has no robot models recorded on the DEPLOY registry. Meta FAIR builds robot foundation models or autonomy software.

Who is the CEO of Meta FAIR?

Yann LeCun is the chief_scientist of Meta FAIR, per the DEPLOY registry.

Where is Meta FAIR headquartered?

Meta FAIR is headquartered in New York, NY, USA.

Is Meta FAIR a top robotics company?

On DEPLOY's intelligence score, which blends verified deployments, funding, hiring, media, safety, and IP signals, Meta FAIR ranks in roughly the top 93% of companies tracked by the registry.

When was Meta FAIR founded?

Meta FAIR was founded in 2013.

Is Meta FAIR safe?

Meta FAIR has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.

Methodology: Claimed (not independently verified) · no sources on file · last reviewed 2026-08-09

Verification posture

Claimed (not independently verified)

Low confidence

Review state

Stable

Last reviewed 2026-08-09

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

No press coverage on file for Meta FAIR yet. Coverage appears here automatically as articles are ingested from our press sources.

Machine-readable surfaces

Markdown mirror: /companies/meta-fair.md
RSS feed: /companies/meta-fair/feed.xml
JSON-LD: embedded in this page’s head
REST API: /v1/companies/25ed7dd7-d3d5-45e3-adfa-40bfd58887dd
Revision history: /companies/meta-fair/history
Data documentation: /data
Query this programmatically: Deploy MCP

Reality vs attention

Not enough verified signal yet to place Meta FAIR against peers. Reality and attention percentiles publish once the underlying record clears its data floor.

Peer rankingTop 93% of category

vs funding peers-36.6 ptsbelow funding-adj. expected

Analysis

Limited public visibility and press coverage relative to peers.

Dimension breakdown

Verified signal

Insufficient data

Insufficient data

Insufficient data

Insufficient data

Insufficient data

Attention (reach, not merit)

Market Presence →

0.0LOW

DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.

DEPLOY Indices — verified vs claimed

Claim Integrity Fleet Reality Operator Repeat All indices

Last computed: Aug 10, 2026

Methodology Intelligence layer