One platform — edge computer vision, vision-language models and agentic AI — that detects, understands, verifies and acts on real-world events across the cameras you already own. Safety, security, mobility, operations, care. Proven where the stakes are highest: industry and critical infrastructure.
Thousands of cameras run every day with their footage never examined. Legacy systems emit isolated, context-free alerts — and the operator is left to close the gap manually.
The result: incidents found too late, saturated operators, and decisions made without usable video intelligence.
Syrate upgrades the infrastructure already in place: your existing stream passes through four stages of intelligence. Nothing to rewire, nothing to rip out.
Real-time detection, tracking and classification on the existing stream.
The scene is described in natural language: who, what, where — and whether it matters.
Correlation, verification, prioritization and coordination of the response.
Real-time detection of safety, security and operational events.
VLMs reconstruct the context around each detected event.
Find any event across months of video with a natural-language query.
Prioritize verified incidents and route them to the right team.
Incident summaries, timelines and reports generated automatically.
Seven product surfaces and one live deployment, read here as a single evidence trail rather than seven separate tabs — each exhibit carries the real numbers the platform produced.
SEN’EAU Malika runs 48 cameras through ServEYE. In the last 24 hours it processed 1,284 events — like a missing hard hat in the Loading Bay B forklift aisle, verified across three cameras before anything reached an operator.
From a perimeter crossing to a leak near Pump 2, every detection lands in one continuous, searchable log — traced back to the exact camera and moment it happened, so nothing waits for someone to go looking for it.
When ServEYE flags something, it captures the moment itself — a timestamped snapshot of the exact detection, ready to review or attach to a report.
ServEYE doesn’t just flag events — it reasons over the live feed and produces a plain-language summary of what’s happening and why it matters, continuously.
Detections, trends and site activity roll up into one dashboard — so patterns across cameras and days are visible, not buried in individual clips.
No rule-builder, no thresholds to configure by hand — describe the condition you care about in plain language, and ServEYE turns it into a live alert.
Query events, procedures and risk in plain language — “which cameras have the most incidents,” “what’s the fire procedure” — and get an answer grounded in your own data.
An extensive technical site, a perimeter hard to hold, and video feeds nobody could realistically watch around the clock.
Full intelligent video surveillance deployment: cameras wired into ServEYE edge inference, with perimeter, technical zones and access points under agentic supervision.
Continuous site supervision without adding control-room headcount, alerts verified before escalation, and incident reports generated automatically.
These are not eight products. It is the same perception, understanding and reasoning applied to eight classes of problem.
Protecting people on site, before the accident.
Holding a perimeter without multiplying patrols.
Knowing who is where, and whether that is expected.
Every vehicle identified, classified and reconciled.
Reading traffic continuously, with no in-road sensors.
Turning observed activity into operating metrics.
Watching over a person without putting them under surveillance.
Understanding human actions, interactions and unusual activity as they happen.
Adding an application means adding a policy — not a new system, and not new cameras.
Discuss your case →Our strength is where mistakes are expensive: industry and critical infrastructure.
Production sites, depots and energy facilities: PPE, hazardous zones, machinery and logistics flow.
Water, energy, telecom and strategic sites: perimeter, technical zones and service continuity.
Public spaces, schools and civic buildings: crowds, incidents and public safety.
Depots, stations, fleets and road corridors: vehicle movement, platforms and passenger safety.
Stores, offices and buildings: occupancy, queues, incidents and quality of use.
Homes and care facilities: falls, prolonged inactivity and daily activity.
Schools, universities and campuses: safer spaces, behavior awareness and controlled access.
Warehouses, distribution centers and logistics yards: worker safety, vehicle movement and operational flow.
We built ServEYE on industrial sites and critical infrastructure: unstable connectivity, dust, difficult light, and near-zero tolerance for error. A retail or home-care application inherits that robustness — the reverse is never true.
Inference continues locally through an outage; sync resumes afterwards.
Dust, backlight, night, ageing optics: calibrated on your real scenes.
Multi-camera corroboration before anything escalates to an operator.
Able to run air-gapped, with no outbound connection at all.
Four stages, with a measurable pilot before any site-wide commitment.
Discuss your site →Inventory of the fleet, feeds and network. We identify which cameras are usable as-is — usually the large majority.
A GPU node is installed on site and subscribes to the existing RTSP feeds. No rewiring, no operational downtime.
Zones, thresholds, priorities and routing defined with your HSE and security teams, then tuned on your real scenes.
A limited scope goes live and is measured. Extending to the full site is decided on numbers, not on a promise.
Detect people, vehicles, PPE, behaviors, zones and operational events in real time, directly at the edge.
Multimodal AI understands actions, spatial relationships, scene context and evolving situations to reason about what is happening in the physical world.
AI agents correlate events, assess context, investigate incidents and determine the next action or information required.
Connect observations across multiple camera streams to reconstruct events and build a broader understanding of activity across a site.
Combine low-latency edge inference with cloud-based reasoning, search, reporting and orchestration for scalable deployments.
Integrate with existing IP cameras, NVRs and video infrastructure through RTSP and ONVIF without replacing deployed systems.
A 30-minute Physical AI walkthrough on your own feeds — we start from your fleet, not a demo dataset.
