For security teams & investigators

Find anything in a massive
CCTV archive — in minutes.

Security teams and investigators search thousands of hours of footage the way they search the web — in plain language. Identify a person, vehicle, object, or behaviour pattern across an entire camera network without watching a single frame manually.

An incident happened. The answer is in the footage. But where?

A security team managing 200 cameras generates 4,800 hours of footage every day. When an incident occurs, finding the relevant 30-second clip means either watching footage manually for days or hoping the camera index was maintained correctly. Neither is acceptable. Deepgrip indexes every frame — making the entire archive searchable in plain language, across every camera, in real time.

  • Search a full day's archive across every camera in under five minutes
  • Describe what you're looking for in plain language — no tagging required upfront
  • Build a cross-camera timeline automatically from a single query
  • Detect recurring patterns: same person, same route, same time window
  • Export a timestamped evidence package with a full audit trail
  • Works with existing CCTV infrastructure — no hardware replacement needed
Plain-language search

Describe it once. Find it everywhere.

Type what you are looking for in plain English — a description of a person, vehicle, clothing, object, or behaviour. Deepgrip searches the entire indexed archive across all cameras and returns matching clips with timestamps, camera IDs and a confidence score. No tagging, no manual review.

Natural-language queries: "red jacket, Gate 3 entrance, 14:00–16:00 on June 4"

Person, vehicle, object and behaviour descriptors

Multi-camera simultaneous search

Ranked results with timestamp, camera ID and confidence score

Plain-language search

Live preview

Query"red jacket, Gate 3 entrance, between 14:00–16:00"
14:23✓ 4 matching clips · Cam 3, 7, 12 · confidence 91%
NextCross-camera timeline built automatically
Natural-language queries: "red jacket, Gate 3 entrance, 14:00–16:00 on June 4"
Person, vehicle, object and behaviour descriptors
Pattern detection

Spot patterns no human reviewer would catch.

Deepgrip identifies recurring patterns across your archive — the same person appearing at the same entry point across multiple days, a vehicle visiting at unusual hours, a behaviour sequence that precedes incidents. Surface anomalies before they escalate, not after.

Recurring appearance detection across days and camera zones

Unusual-hours and out-of-pattern alerts

Behaviour sequence recognition across multi-step events

Configurable alert thresholds per zone and time window

Pattern detection

Live preview

PatternSame individual · Gate 3 · 5 visits in 7 days
Alert✓ Anomaly flagged · timeline · evidence clips ready
ReviewEntry 1 → Entry 3 → Entry 5 cross-referenced
Recurring appearance detection across days and camera zones
Unusual-hours and out-of-pattern alerts
Evidence package

Export a complete, court-ready evidence package.

Every retrieval is logged. Every clip export carries a timestamp, camera ID, chain-of-custody metadata and a cryptographic hash. The evidence package is structured for legal review — with a full audit trail of who queried, what was retrieved and when.

Timestamped clip export with camera ID and GPS coordinates

Cryptographic hash per export for chain-of-custody integrity

Full audit log: query, retrieval, export, reviewer identity

Structured package format accepted by legal and compliance teams

Evidence package

Live preview

Export4 clips · Cam 3/7/12 · hash: a3f8…c2d1
Audit✓ Queried by: Investigator A · 2026-06-04 14:31
FormatPDF report + MP4 clips + JSON manifest · ready
Timestamped clip export with camera ID and GPS coordinates
Cryptographic hash per export for chain-of-custody integrity

<5 min

To locate a target across a full day's archive

200+

Cameras searchable in a single query

0

Hours of manual footage review required

100%

Audit trail on every retrieval and export

Common questions

Does Deepgrip require replacing our existing CCTV hardware?+

No. Deepgrip ingests footage from your existing cameras and NVR/DVR systems. We support standard video formats and can integrate with most enterprise CCTV management platforms via API or direct ingest.

How does the plain-language search work?+

You describe what you are looking for in plain English — a person's appearance, clothing, vehicle type, or a behaviour like "someone carrying a large bag near the fire exit". Deepgrip searches the indexed archive and returns the matching clips ranked by relevance.

Is the footage processed on-premise or in the cloud?+

Both deployment models are available. On-premise processing keeps footage within your own infrastructure — no video data leaves your network. Cloud processing is available for organisations that prefer managed infrastructure. Contact us to discuss your security requirements.

Can Deepgrip handle footage from 200+ cameras simultaneously?+

Yes. The architecture is designed for large camera networks. A single query searches across all indexed cameras in parallel and returns a ranked, cross-camera timeline in seconds.

Is the evidence package accepted in legal proceedings?+

The export package includes a cryptographic hash per clip, full chain-of-custody metadata, and a structured audit log. The format is designed for legal and compliance review. Consult your legal team on admissibility requirements in your jurisdiction.

Ready to make your CCTV archive searchable?

Pilot Deepgrip on a subset of your camera network. Index, search, and retrieve in one engagement. Custom deployment for on-premise and air-gapped environments.