Company
CynLr
Bengaluru-based robotics company developing visual object intelligence for dexterous robotic manipulation.
- Founded
- 2019
- HQ
- Bengaluru, India
- Status
- active
Overview
Bengaluru-based robotics company developing visual object intelligence for dexterous robotic manipulation. Founded in 2019 by Nikhil Ramaswamy and Gokul N A, CynLr's technology enables robots to see, grasp, and manipulate any object without prior training, powering flexible automation for universal factory applications. The company has raised approximately 5M from investors including Speciale Invest and growX Ventures.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
DEPLOY Intelligence
Market intelligence for physical AI
Analyst-grade signals, competitive tracking, and investment context across the global physical AI landscape. Launching 2026.
Key facts
HQ
Bengaluru, India
Founded
2019
Focus
Visual object intelligence and dexterous robotic manipulation
Technology
Robots that pick arbitrary objects without training
Goal
Universal-factory concept
CEO
Nikhil Ramaswamy
Co-founder
Gokul N A
Total funding
~5M
Investors
Speciale Invest, growX Ventures
Data & sources
Web sources
1
1 source backing this record.View all →
Current leadership (2)
- Nikhil Ramaswamy Co-Founderreported, not verified
- Gokul N A Co-Founderreported, not verified
Founders (2)
- Nikhil Ramaswamycofounder
- Gokul N Acofounder
Safety record
No incidents on record for CynLr.
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 coverage
CynLr in third-party press
Financial state
- Reporting basis
- private_reported
- Lifecycle stage
- growth
- Counterparty risk class
- moderate
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.
Sources (1)
Common questions
- What is CynLr?
- Bengaluru-based robotics company developing visual object intelligence for dexterous robotic manipulation. Founded in 2019 by Nikhil Ramaswamy and Gokul N A, CynLr's technology enables robots to see, grasp, and manipulate any object without prior training, powering flexible automation for universal factory applications. The company has raised approximately 5M from investors including Speciale Invest and growX Ventures.
- What does CynLr make?
- CynLr has no robot models recorded on the DEPLOY registry. CynLr builds both physical robots and the AI that runs them.
- Where is CynLr headquartered?
- CynLr is headquartered in Bengaluru, India.
- Is CynLr a top robotics company?
- On DEPLOY's intelligence score, which blends verified deployments, funding, hiring, media, safety, and IP signals, CynLr ranks in roughly the top 40% of companies tracked by the registry.
- When was CynLr founded?
- CynLr was founded in 2019.
- Is CynLr safe?
- CynLr 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: Verified · 1 source (no primary) · last reviewed 2026-07-02
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-07-02
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for CynLr.In the press
Recent coverage mentioning CynLr from third-party publications. Automatically surfaced; not part of the verified registry record.
CynLr raises Series A funding to realize robot vision for universal factory
CynLr raised Series A funding for its visual object intelligence platform enabling robots to manipulate any object without training.
CynLr: Making Manufacturing Simple with Visual Robots
COE-IoT profiles CynLr's vision-guided robotics platform for flexible manufacturing automation.
Machine-readable surfaces
- Markdown mirror: /companies/cynlr.md
- RSS feed: /companies/cynlr/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/698a4db7-b38c-46c8-adc9-25d29d382584
- Revision history: /companies/cynlr/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Video
Robots that see like humans—that’s the promise of a new collaboration between CynLr, a Bengaluru-based robotics startup, and the Indian Institute of Science. To
Step Inside CynLr. What does it mean to be an engineer at the intersection of robotics, perception and intelligence? At CynLr, engineering goes beyond writi
At the AI Impact Summit, Gokul N A, Co-founder of CynLr, unveiled CyRo, an India-built robot redefining industrial automation. Designed with human-like upper to
Gokul N A, Founder-Design, Product & Brand,, Cybernetics Laboratory. Robots with Visual Object Intelligence @cynlr8608 shares the thought behind the launch of
Wrap your glass bottle with a wrapper, most AI models & robots go blind. Robots cannot see or handle unfamiliar objects. But a human baby can!!! The world is
The Video demonstrates the Robot adapting to various untrained parts of different weights, shapes and material, being adaptively picked and placed into a Chuck
BENGALURU, INDIA | February 12, 2026 – CynLr, the Bengaluru-based deep-tech pioneer, today announced the official launch of its Object Intelligence (OI) Platfor
CynLr Unveils Object Intelligence Platform to Make Robots Learn and Adapt Like a Human Baby Building the missing piece in Robotics to make robots learn and ada
Bengaluru-based robotics startup CynLr secured $10 million (₹84 crore) in their Series A round. CynLr will use these funds to expand R&D and software engineerin
Subscribe Channeliam YouTube Channels here: Malayalam ► https://www.youtube.com/channelim English ► https://www.youtube.com/channeliamenglish Hindi ► https:/
Reality vs attention
Not enough verified signal yet to place CynLr against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Limited public funding data for capital position assessment.
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: Jul 14, 2026