eyepop.ai valid
EyePop.ai
EyePop.ai is an SDK-first computer vision platform: production-grade detection, tracking, pose, and OCR that software developers, and increasingly AI coding agents, compose and deploy through code in under an hour, without a dedicated ML team.
For agents: SDK-first computer vision platform for detection, tracking, pose and OCR, with quickstart docs, edge deployment and a video agent for highlight clips.
computer visionobject detectionpose estimationocrvideo analytics
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T15:40:55.782Z. Cached copy · Source on eyepop.ai
# EyePop.ai
> EyePop.ai is an SDK-first computer vision platform: production-grade detection, tracking, pose, and OCR that software developers, and increasingly AI coding agents, compose and deploy through code in under an hour, without a dedicated ML team.
EyePop serves security integrators and surveillance platforms adding AI to existing camera deployments, agencies delivering computer vision to their own clients under their own brand, and teams across other industries (agtech, broadcast, construction, drones, insurance, marketplaces, roofing, safety, traffic) who need custom detection models running on edge, on-premise, or cloud infrastructure. Primary interface is the Python and Node/TypeScript SDK, not a locked-down drag-and-drop tool. Built for production use, not proof-of-concept demos.
## Product
- [Factsheet](https://eyepop.ai/faq): Company facts — mission, founders, differentiation, patents/IP, features, deployment options, pricing.
- [Physical AI Vision](https://eyepop.ai/physical-ai): On-device computer vision for robots, drones, and autonomous systems; composable detection/pose/OCR/tracking pipelines across NVIDIA Jetson, Snapdragon NPU, GPU servers, or CPU-only devices.
- [Video Agent](https://eyepop.ai/video-agent): Turns multi-camera raw video into automatic highlight reels and shareable clips.
- [Self-Service Training](https://eyepop.ai/self-service-training): Train object detection, classification, or keypoint models via SDK or dashboard; finetune VLM abilities.
- [On-Premise Runtime](https://run-onpremise.ai/): Deploy EyePop's runtime on customer-owned infrastructure, from CPU/GPU servers to edge hardware (NVIDIA Jetson Orin, Qualcomm Dragonwing NPU).
- [Compliance: SB-942](https://eyepop.ai/sb-942): California AI transparency/compliance information.
- [Qualcomm AI Hub](https://aihub.qualcomm.com/collaborators/eyepop-ai): EyePop models available via Qualcomm's AI Hub.
## Industries
- [Surveillance / Security](https://eyepop.ai/security): Adds intelligence to surveillance video — event classification, automated triage, and cross-video search for security teams and integrators managing large camera networks.
- [For Agencies](https://eyepop.ai/agency): White-labeled AI vision for agencies delivering computer vision to their own clients without in-house ML expertise.
- [Premier Launch Partner Program](https://eyepop.ai/premier-launch-partner-program): Partner program for early/strategic integrators and platforms.
- [PPE / Safety](https://eyepop.ai/ppe-safety)
- [Traffic](https://eyepop.ai/traffic)
- [Construction](https://eyepop.ai/construction)
- [Drones](https://eyepop.ai/drones)
- [AgTech Livestock](https://eyepop.ai/agtech-livestock)
- [Broadcast Media](https://eyepop.ai/broadcast-media)
- [CDNs](https://eyepop.ai/cdn)
- [Insurance](https://eyepop.ai/insurance)
- [Marketplaces](https://eyepop.ai/marketplaces)
- [Roofing](https://eyepop.ai/roofing)
## Resources
- [Developer documentation](https://docs.eyepop.ai/developer-do
…
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