WHY SENTINEL
AI-native video intelligence — not a VMS with plugins bolted on.
Genetec, Milestone, Avigilon and Verkada are twenty-year-old video management systems with AI analytics added as plugins. BigMind Sentinel is built AI-native: one console where the intelligence runs through everything — from edge detection to pattern-of-life to tamper-evident audit. Same cameras, a fundamentally different product.
Click to enlargeOne AI-native console — not a recorder with analytics bolted on the side.
The wedge
Six reasons the incumbents can't follow.
The market is full of capable video management systems. Sentinel doesn't try to be a better recorder — it's a different category. Here's where AI-native beats VMS-plus-plugins.
Built as one intelligence, not a recorder with plugins
Genetec, Milestone, Avigilon and Verkada are video management systems with AI analytics bolted on as add-ons. Sentinel was designed AI-first: detection, identity, pattern, compliance and evidence are woven through a single console — not licensed module by module.
Pattern-of-Life intelligence, not just events
Legacy VMS surfaces events — Sentinel surfaces patterns. A 7×24 activity heatmap with a regularity score, a co-occurrence network of who a subject clusters with, and a where-they-go concentration chart, all on one person page. Find them, then understand them.
Accountability lives in the data model
Incumbents claim "secure by design." Sentinel requires a lawful basis on every watchlist entry, signs a per-camera DPIA, handles DSARs, and writes a tamper-evident WORM merkle anchor over the audit log — privacy and accountability as schema, not as a policy PDF.
Works with any ONVIF / RTSP camera you own
No proprietary recorder, no vendor hardware to buy. Point the on-site agent at the network and ONVIF WS-Discovery finds your existing cameras — then runs the AI on-device in ONNX, on CPU.
Deploy your way — cloud, on-prem, or air-gapped
One codebase ships three deployment shapes: cloud-managed on AWS, on-premise via Docker Compose with an offline license, or a fully air-gapped room. Your video and data stay where you choose.
White-label end to end for partners
Dashboard themes, agent binaries, emails and custom domains can all carry a partner brand — a partner can ship Sentinel under their own name with zero "BigMind" reaching the end user.
Find them, then understand them.
Legacy systems answer 'where was this person seen?' Sentinel answers the question that actually closes investigations: 'what is this person's pattern, and who are they connected to?' The persons page puts three intelligence surfaces side by side, with the heatmap clickable to drill straight into the underlying sightings.
- Pattern-of-Life heatmap — a 7×24 activity matrix with a Shannon-entropy regularity score; click any cell to filter sightings to that weekday and hour
- Co-occurrence network — a radial graph of the top people seen alongside a subject (same camera, ±15 min) with encounter and distinct-day counts
- Where they go — a per-camera distribution chart with a concentration score from Anchored to Highly mobile
- The closest parallel is what agencies build in-house with Palantir and custom GIS — Sentinel ships it in a CCTV product you can deploy in an afternoon
One subject · one pattern · regularity 78/100 — each cell clickable to the evidence.
Flip it: 47 disconnected clips, or one clear pattern. That's the difference.
Side by side
BigMind Sentinel vs legacy VMS + add-ons.
Four dimensions where the architectural difference shows up in what an operator, an investigator and a DPO can actually do.
AI woven through vs analytics as add-ons
BigMind Sentinel: one console where detection, identity, pattern and compliance are native. Legacy VMS + add-ons: a video recorder with separately-licensed analytics plugins layered on top.
Patterns vs events
BigMind Sentinel: pattern-of-life, co-occurrence and location-concentration on one page. Legacy VMS + add-ons: a searchable feed of discrete events with no built-in behavioral model.
Lawful basis in schema vs "secure by design"
BigMind Sentinel: required lawful basis, per-camera DPIA, DSAR workflow and WORM-anchored audit. Legacy VMS + add-ons: a marketing claim of security with compliance left to the operator.
Any ONVIF camera vs proprietary stacks
BigMind Sentinel: any ONVIF/RTSP camera, AI on-device, cloud or air-gapped. Legacy VMS + add-ons: often steered toward proprietary cameras, appliances or cloud GPUs.
Accountability is a selling point — and so is restraint.
Sentinel is built for jurisdictions with strong privacy law, so compliance is first-class, not an afterthought. It's also honest about its limits: we label what's beta and we never claim autonomy we don't have.
- Lawful basis required per watchlist entry, signed per-camera DPIA, DSAR export and erasure, retention policies and 72-hour breach notification crons (PDPL Art 24 / GDPR Art 33)
- Tamper-evident WORM merkle anchor over the audit log — anyone can recompute the root later and prove no row was changed
- Weapon detection is Beta — human-in-the-loop and multi-frame confirmed, built on the COCO YOLO knife class rather than a purpose-trained weapon model
- No autonomous lockdown or auto-response — Sentinel is human-in-the-loop by design and never takes action on its own
Every operator action hashed into a chain — recompute it later to prove nothing was changed.
See AI-native video intelligence on live data.
Request a private, pre-loaded demo environment and judge it against your incumbent — discover cameras over ONVIF, pivot through a subject's pattern-of-life, and follow a detection from the edge to a WORM-anchored evidence pack.