Zapdos Labs
Zapdos Labs builds AI Video Agents for safer industrial operations. Its software reads factory safety manuals, connects to existing CCTV infrastructure, and turns live video into actionable safety, compliance, and operational intelligence.
At a Glance
- Mid-market manufacturers
- Tier 2 and Tier 3 industrial plants
- Factory operators and EHS/safety teams
- Manufacturing, logistics, and industrial operations
- +1 more
AI Tools by Zapdos Labs
(1)Unblink
Open Source AI Camera Monitoring
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Latest News
Zapdos Labs announced a $500,000 pre-seed round and launched its AI Video Agent platform for factory floors.
FinSMEs reported Zapdos Labs' $500K pre-seed financing, its AI Video Agents for industrial environments, Unblink, and reported Air Force and Fortune 500 traction.
Grit Daily profiled Zapdos Labs' origin story, AI Video Agents, two-day deployment, enterprise pilots, and Air Force contract.
Products & Services
A manufacturing and industrial video-intelligence platform that connects to existing CCTV cameras, reads a facility's safety manuals, configures monitoring rules with vision-language models, and detects safety violations, near-misses, exclusion-zone breaches, PPE non-compliance, and high-risk behaviors in real time.
An open-source AI-powered camera-monitoring and video infrastructure project with relay-node architecture, natural-language camera-feed interaction, VLM frame analysis and summarization, video search, and RTSP/MJPEG camera connectivity. It is licensed under AGPL-3.0.
Market Position
Zapdos positions itself as a perception and decision layer for industrial operations rather than a basic alerting product. Its differentiators are using existing cameras, reading each facility's own manuals and SOPs, combining vision-language models with traditional computer vision, validating detections in a digital twin, and deploying in days without months of labeled training data. Reported competitors in adjacent industrial video safety include Voxel AI, Protex AI, Robovision/Robok AI, Intenseye, viAct, Visionify, Spot AI, and Invisible AI.
Leadership
Founders
Ganesh Ramalingam
Co-founder and CEO. Previously served in an elite signals intelligence unit and later worked in industrial AI. He started Zapdos Labs after his uncle died in a workplace accident that he believed continuous monitoring could have prevented.
Tri Nguyen
Co-founder and CTO. Holds a Master’s degree in machine learning from the University of Basel and previously led engineering at Ubisoft.
Executive Team
Ganesh Ramalingam
Co-founder and CEO
Former elite signals-intelligence-unit member with an industrial-AI background; founded Zapdos Labs following a family workplace-accident tragedy.
Tri Nguyen
Co-founder and CTO
Machine-learning master's graduate from the University of Basel and former engineering leader at Ubisoft.
Founding Story
Ganesh Ramalingam founded Zapdos Labs after losing his uncle in an industrial accident. The founders' initial vision was to add a software intelligence layer to factories' already-installed cameras, allowing video to be understood continuously and safety risks to be acted on before incidents occur.
Business Model
Revenue Model
B2B software/SaaS for manufacturing and industrial customers, sold through pilots and deployments of the AI Video Agent platform.
Pricing Tiers
The official site says there are no annual contracts on day one; it promotes a 14-day path from factory deployment to live detection.
Target Markets
- Mid-market manufacturers
- Tier 2 and Tier 3 industrial plants
- Factory operators and EHS/safety teams
- Manufacturing, logistics, and industrial operations
- Defense and government industrial facilities
- Workplace safety and incident prevention in factories
- Worker-forklift and worker-vehicle proximity monitoring
- PPE compliance and exclusion-zone enforcement
- Near-miss detection and incident investigation
- Standard operating procedure and assembly-sequence compliance
- AGV and production-line operational excellence
- U.S. Air Force
- Fortune 500 manufacturing enterprises
- Maersk
- Cantier Systems