WHY SENTINEL
The sovereign, video-native intelligence brain.
Palantir-class fusion needs structured data fed in by analysts. Legacy video systems record and bolt analytics on top. BigMind Sentinel does what neither can: it derives one connected picture — the network, the identity, the location — directly from the cameras, records and signals you already own, running on your own infrastructure. Sovereign by design, Arabic-first, and honest about what it measures.
Click to enlargeOne sovereign, AI-native console — the intelligence brain, not a recorder with analytics on the side.
Sentinel vs the field
What to demand from a video-intelligence platform.
The serious names each do part of this well — Palantir Gotham and Cognyte on multi-source fusion, BriefCam on video review, Verkada on managed cameras. None of them combine sovereign, air-gap-ready deployment with intelligence derived natively from your own video. Here is the honest scorecard — and the criteria we think any buyer should hold every vendor to.
| Capability | BigMind Sentinel | Palantir Gotham | Cognyte | BriefCam | Verkada |
|---|---|---|---|---|---|
| Sovereign deployment — cloud, on-premise or fully air-gapped | Cloud · on-prem · air-gapped | Vendor-managed deployment | On-prem available | On-prem (VMS add-on) | Cloud-only |
| Video-native — builds the relationship graph from raw camera feeds | Yes — derived from what the cameras saw | Needs structured data fed in | Data-fusion; video is one input | Video search, not a network graph | Per-camera events only |
| Multi-INT fusion — identity · signal · location on one spine | Yes | Yes — its core strength | Yes | Video only | Building security |
| Arabic-first UI & full RTL | 15 languages, Arabic RTL first-class | English-first | Limited | Limited | English-first |
| Runs entirely on your infrastructure — no foreign kill-switch | Offline licence · no phone-home | Foreign vendor · update dependency | Foreign vendor | Foreign vendor | Cloud-dependent |
| Self-measured accuracy, shown in the product | Yes — self-graded hit-rate over time | Not published | Not published | Not published | Not published |
| Runs on CPU at the edge — no cloud GPU required | On-device AI, CPU-only | — | Server / GPU | GPU-heavy | Cloud + proprietary appliance |
| Open connector framework — add your own sources | Open framework | Proprietary ecosystem | Proprietary | Limited | Closed ecosystem |
Comparison reflects publicly documented capabilities and typical deployments as of July 2026; every platform evolves, so verify against current vendor documentation. It is offered as a set of evaluation criteria — not a substitute for your own proof-of-concept on your own footage.
Click to enlargeThe wedge
Six reasons the incumbents can't follow.
Beyond the scorecard: Sentinel doesn't try to be a better recorder or a better analyst's notebook — it's a different category. Here's where a sovereign, AI-native brain beats both the VMS-plus-plugins stack and the analyst-fed data platform.
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, 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 engineered into the data model.
Sentinel is built for jurisdictions with strong privacy law, so compliance is native — not a policy PDF. Every identity match, evidence action and camera-config change is authorised, reason-tagged and independently verifiable, a credibility edge you can hand to a regulator, an audit committee or defence counsel.
- Lawful basis required per watchlist entry, signed per-camera DPIA, DSAR export and erasure, retention policies and 72-hour breach notification (PDPL Art 24 / GDPR Art 33)
- Tamper-evident WORM merkle anchor over the audit log — recompute the root later and prove no row was changed
- Every forensic identification and person↔identity/device link is reason-gated and WORM-anchored, so intelligence built in Sentinel is court-ready
- SAML 2.0 · OIDC · SCIM 2.0 · WebAuthn, with 8-category RBAC and per-camera-group scoping — enterprise identity, on your terms
Every operator action hashed into a chain — recompute it later to prove nothing was changed.
See the intelligence brain on live data.
Request a private, pre-loaded demo environment and judge it against your incumbent — discover cameras over ONVIF, watch the network graph build itself from raw feeds, pivot through a subject's pattern-of-life, and follow a detection from the edge to a WORM-anchored evidence pack.