Robot model
CynLr Visual Intelligence
CynLr visual object intelligence system for dexterous robotic manipulation, developed in Bengaluru.
- Manufacturer
- CynLr
- Form factor
- brain
- Maturity
- pilot
- Lifecycle
- active
- Website
- cynlr.com ↗
The verified answer
As of Oct 2026, DEPLOY verifies CynLr Visual Intelligence, a brain by CynLr (pilot). 2 sources back the record.
Deploy Watch
Track CynLr Visual Intelligence on Deploy.
We notify you when a verified state change lands on the record, not when the company issues a claim.
Key facts
CyRo (company-stated)
Automate 2025 demo (company-stated)
Assembly and coordination (company-stated)
Robot systems (company-stated)
Data & sources
Web sources
2
2 sources backing this record.View all →
Pricing
No verified price is on record for CynLr Visual Intelligence. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdSep 6, 2026
Added to the verified registry
Safety record
No incidents on record for CynLr Visual Intelligence.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (2)
Common questions
What is CynLr Visual Intelligence?
How much does CynLr Visual Intelligence cost?
Is CynLr Visual Intelligence actually deployed in the real world?
Who makes CynLr Visual Intelligence?
Can you buy CynLr Visual Intelligence?
What are alternatives to CynLr Visual Intelligence?
How does CynLr Visual Intelligence compare to BrainOS?
Is CynLr Visual Intelligence a top brain?
What is CynLr Visual Intelligence's maturity stage?
Where is CynLr Visual Intelligence deployed?
Is CynLr Visual Intelligence safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-10-10
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-10
Maturity + lifecycle
Maturity stage: pilot
Lifecycle: active
Architectural position
Cohort: brain
Sources by quality tier
- 2
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for CynLr Visual Intelligence.Machine-readable surfaces
- Markdown mirror: /models/cynlr-visual-intelligence.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/a9c7f6bd-2f68-4a77-9796-b3282813f41d
- Revision history: /models/cynlr-visual-intelligence/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place CynLr Visual Intelligence against brain robots. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
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: Oct 30, 2026