Contextual Surveillance Technology
Digital Evidence Processing. 100% On-Premise. No Cloud.
The proposed solution enables police to search and analyze video evidence using AI, while keeping all data fully on police-owned infrastructure.
Data never leaves the department's walls.
Secure Police Evidence Server (CCTV, Bodycams, NAS). Evidence flows to the Police CPU (System of Record).
One GPU serves many users. Jobs are queued. No data leaves police systems.
Our chatbot performs context-aware behavioral anomaly detection, allowing investigators to search video using natural language.
| Capability | Typical DEMS / VMS | Analytics Add-ons | Consurt Gen AI |
|---|---|---|---|
| Primary Purpose | Store & Manage | Filtered Review | Discovery & Search |
| Search Basis | Metadata + Tags | Object Classes | Semantic (Video/Audio/Text) |
| Indexing | Manual "Bulk Tagging" | Config Required | Auto-Index on Ingest |
| Output | Evidence Lists | Synopsis | Ranked Hits + Audit Trail |
Mount GPU unit, connect power & UPS.
Connect to secure police LAN, assign IP.
Read-only connection to MP4 folders.
Firewall allowlist, user permissions.
End-to-end test in
45–120 min
100% On-Premise. No internet dependency. Minimal cyber attack surface.
Evidence never moves. The GPU system cannot modify, delete, or overwrite original MP4s.
Chain-of-custody preserved. Role-based access for authorized investigators only.
LLM training means helping the system learn how your department searches and talks about evidence.
During training, we guide it using real investigative workflows so it understands common questions, terminology, and case structure. This makes searches more accurate and lets investigators interact naturally.
Contact sales for seat licensing and hardware specifications.
Based on agency size and server volume.
We look forward to hearing from you.