Loading...
Turn any camera or sensor into an AI-driven, workflow-managed asset.
Pynetra connects to any video and sensor source, collates the data, and manages each as an asset with capture, audio, processing and AI or ML built in. A workflow-driven video management platform that runs on commodity hardware, deploys in the cloud or on-prem, and scales from one site to many through a single control center.
Any camera or sensor
Cloud, SaaS or on-prem
One control center
RESTRICTED ZONE
LIVECAM 04 · LOADING BAYEDGE · 24 FPS
Person 0.97
Hard hat ✓Face redacted
Person 0.94
on-device inference · nothing leaves the camera3 detections · zones clear
Live edge detection: people, PPE and restricted zones flagged in real time, faces redacted before anything leaves the camera.
Built by a team teams already trust
Cameras everywhere. Intelligence nowhere.
Most sites have more cameras than anyone can watch, footage no one reviews, and a different vendor for every use case. Bolting on AI means another rebuild, another silo, and a privacy headache.
Blind spots
Footage is recorded, not understood, so incidents surface long after they matter.
A rebuild every time
Each new use case is a fresh integration and a new vendor, not a configuration change.
Privacy risk
Faces and number plates leave the camera before anyone decides they should.
How it works
- 1
Connect
Ingest any camera or sensor source and register it as a managed asset.
- 2
Compose the workflow
Add capture, processing, AI and ML services to each asset, with no rebuilds.
- 3
Run & scale
Deploy on-prem or cloud on commodity hardware, and manage every site from one control center.
- 1
Connect
Ingest any camera or sensor source and register it as a managed asset.
- 2
Compose the workflow
Add capture, processing, AI and ML services to each asset, with no rebuilds.
- 3
Run & scale
Deploy on-prem or cloud on commodity hardware, and manage every site from one control center.
What changes with Pynetra
Any source
one platform, one console
On-device
PII redacted before a frame leaves the camera
No rebuilds
new use cases are configuration, not code
Deploy anywhere
SaaS, cloud or on-prem on commodity hardware
Where it's used
One platform, from a single store camera to an entire city.
01
Retail & CCTV
Loss prevention, footfall and shopper analytics across every store camera.
What's included
Central control center
Run many Pynetra instances and every incident from one console.
Open schema & webhooks
Define datasets, schemas and custom webhook endpoints for any integration.
Full video post-processing
Face-recognition databases, PII removal and blurring, managed in the same service.
For developers
Under the hood
For the engineers: what Pynetra actually is, once you get past the console.
Any source, ingested as an asset
RTSP, ONVIF, files, SDKs and sensors, each registered as a managed asset with its own pipeline.
Composable per-asset pipelines
Capture, conversion, audio, processing and AI or ML stages chained per asset, reconfigured without a rebuild.
Edge-first, accelerator-aware
Inference runs on the device on commodity hardware, tuned to the accelerators you have, so latency and cost stay low.
Privacy by architecture
On-device PII redaction and blurring and a face-recognition database, so sensitive data never has to leave the edge.
Stream and integrate
Low-latency WebRTC streaming to third-party units and monitors, plus an open schema, custom webhooks and dataset management.
One control center, deploy anywhere
Many instances and every incident managed from a single console, deployed as SaaS, in the cloud or fully on-premise.
Capabilities
Product Engineering
AI, Data & Intelligent Systems
UX & Product Design
Experience Engineering
Cybersecurity
Compliance Engineering
US · Muscat · Bangalore · Puttur, ISO 13485:2016 · ISO 27001:2022 · ISO 9001:2015
© Copyright 2026 - LogicHive