We turn CCTV and live camera feeds into operational intelligence — creating a structured record of what actually happens on site, one you can search, query, and build understanding from.
Context Engine applies AI-driven computer vision across your existing CCTV network to continuously analyse activity on site. Instead of generating raw footage or basic motion alerts, our intelligence layer transforms detections into structured events and insights. These events form a persistent operational record; enabling search, investigation, compliance reporting, and real-time oversight across your physical environment.
Specialised computer vision modules apply defined rules to structured activity, enabling site-specific oversight such as:
Automatically detect required safety equipment and log non-compliance.
Track site access and movement patterns across zones.
Monitor defined areas and record unauthorised access.
Search structured event records instead of scrubbing raw footage.
From observation to site intelligence.
Live CCTV and camera feeds are continuously analysed on site, capturing presence, movement, and activity across all monitored areas.
Computer vision modules apply consistent rules to each feed, assessing safety conditions, access behaviour, and site-specific activity patterns.
Relevant observations are converted into structured, time-stamped events that describe what happened, where, and when — not alerts or raw clips.
All events are stored as a persistent site record, creating a factual history of activity that can be revisited at any time.
Search, query, and generate reports from this record to support investigations, handovers, compliance, and oversight.
All analysis and processing runs locally so your data never leaves your environment, making our intelligence layer suitable for regulated industries, sensitive, or restricted sites.