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Camio

Camio is a cloud‑native computer‑vision platform that adds an AI layer to any standard H.264 video stream from existing IP cameras, NVRs, or VMS. It enables security and compliance teams to define textual policies that are continuously evaluated in real time, delivering ranked alerts via a web dashboard or API and storing searchable video archives for 30‑90+ days. The containerized SaaS pipeline deploys in under an hour, scales on demand, and removes the need for dedicated monitoring hardware.

Oakland, United StatesFounded 2011391K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Organizations rely on standard security cameras that only record passive video, requiring manual monitoring or costly third‑party services. This creates high labor expenses, delayed incident response, and limited visibility into compliance violations across distributed facilities such as manufacturing plants, pharmaceutical sites, and food‑processing plants.

Solution

Camio overlays a cloud‑native computer‑vision AI layer onto existing H.264 video streams, turning any IP camera, NVR, or VMS into an active monitoring system. Users define textual compliance policies; the platform parses these rules and continuously scans live video to detect, rank, and alert on policy deviations in real time. Alerts are streamed securely to security and operations teams via a web dashboard or API, enabling immediate remediation without the need for dedicated watch‑rooms. The service is delivered as a containerized SaaS pipeline that can be deployed in under an hour, scales on demand, and eliminates the capital expense of proprietary hardware upgrades. By storing video in an efficient cloud tier, Camio provides searchable archives for 30‑90+ days while maintaining bandwidth efficiency and strict access controls.

Target Audience

Primary customers are security, safety, and compliance teams in regulated industries such as manufacturing, pharmaceuticals, food production, and large‑scale facilities that need automated, real‑time monitoring of existing camera infrastructure.

Features

  • Ingests any standard H.264 video stream from existing IP cameras, NVRs, or VMS without additional hardware
  • AI‑driven real‑time video search that isolates moments matching custom compliance queries within seconds
  • Personalized, rule‑based alerts delivered via secure event streaming (no inbound network ports required)
  • Containerized processing pipeline that runs on any cloud or on‑premises environment, enabling rapid (<1 hour) deployment
  • Unlimited, bandwidth‑optimized cloud storage of archived video for 30‑90+ days with searchable metadata
  • Role‑based guest access and shareable links for collaborative incident review
  • Open architecture with continuous model updates, avoiding vendor lock‑in and chipset dependencies
This profile is AI-generated and may contain inaccuracies.