Inworld AI: robot AI company

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Current leadership (2)

Kylan Gibbs CEO & Co-founder
Ilya Gelfenbeyn Co-founder & CSO

Safety record

No incidents on record for Inworld AI.

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 Inworld AI?

AI character engine building interactive NPCs with memory, personality, and goals, adaptable for humanoid robot conversation and interaction.

What does Inworld AI make?

Inworld AI has no robot models recorded on the DEPLOY registry. Inworld AI builds robot foundation models or autonomy software.

Who is the CEO of Inworld AI?

Kylan Gibbs is the ceo of Inworld AI, per the DEPLOY registry.

Where is Inworld AI headquartered?

Inworld AI is headquartered in Mountain View, CA, USA.

Is Inworld AI a top robotics company?

On DEPLOY's intelligence score, which blends verified deployments, funding, hiring, media, safety, and IP signals, Inworld AI ranks in roughly the top 95% of companies tracked by the registry.

When was Inworld AI founded?

Inworld AI was founded in 2021.

Is Inworld AI safe?

Inworld AI 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 Inworld AI yet. Coverage appears here automatically as articles are ingested from our press sources.

Machine-readable surfaces

Markdown mirror: /companies/inworld-ai.md
RSS feed: /companies/inworld-ai/feed.xml
JSON-LD: embedded in this page’s head
REST API: /v1/companies/b85117d2-5ff0-4a8a-a4c0-6b6846282a3e
Revision history: /companies/inworld-ai/history
Data documentation: /data
Query this programmatically: Deploy MCP

Reality vs attention

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

6-month trend

Peer rankingTop 95% of category

vs funding peers-37.0 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 11, 2026

Methodology Intelligence layer