Overview
AI grasp planning and bin picking software company based in San Jose, CA, providing learned grasping policies that transfer across robot grippers and Humanoid hands. Founded in 2020, the company focuses on enabling robots to autonomously pick and manipulate objects in industrial bin-picking scenarios
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
HQ
Founded
Type
Focus
Data & sources
Press releases
1
1 source backing this record.View all →
Partnerships
Every company Grasp.AI has built with, alongside the ones only announced in a press release.
Most-frequent partners
- 1NVIDIA1× joint1108 total
Most recent
Relationships
Safety record
No incidents on record for Grasp.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 →
Financial state
- Reporting basis
- aggregator_estimate
- Lifecycle stage
- early
- Counterparty risk class
- unknown
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Partnerships
1 total
Every company Grasp.AI has built with, alongside the ones only announced in a press release.
Most recent
Most-frequent partners
- 1NVIDIA1× joint1108 total
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 9, 2026
Added to the verified registry
Sources (1)
Common questions
What is Grasp.AI?
What does Grasp.AI make?
Is Grasp.AI publicly traded?
How can I invest in Grasp.AI?
Where is Grasp.AI headquartered?
Who owns Grasp.AI?
Is Grasp.AI a top robotics company?
When was Grasp.AI founded?
Is Grasp.AI safe?
Methodology: Verified · 1 source (1 primary) · last reviewed 2026-08-21
Verification posture
Verified
High confidence
Review state
Stable
Last reviewed 2026-08-21
Sources by quality tier
- 1
- primary-company-ir
- Company IR disclosure
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Grasp.AI.Machine-readable surfaces
- Markdown mirror: /companies/grasp-ai.md
- RSS feed: /companies/grasp-ai/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/8f3fd4fb-3c62-44d0-bf86-880419b42d60
- Revision history: /companies/grasp-ai/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place Grasp.AI against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Limited public visibility and press coverage relative to peers.
Dimension breakdown
Verified signal
Attention (reach, not merit)
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
Last computed: Aug 24, 2026