Turn every camera into an intelligent eye.
Real-time AI video analytics for security, safety and operations. Built for your cameras. Deployed on your terms.
Loading recorded detections…
Recorded CCTV · Person detections; reviewed forklift, crate and box tracks.
Footage credits
Oguzhan Onal and Emre Dandil. CC BY 4.0. Excerpt re-encoded with added overlays; no endorsement implied.
One platform. Three ways to see more.
Connect what your cameras see to the decisions your teams make.
Security intelligence
Know what needs your attention.
Safety intelligence
Spot risk. Support a safer workplace.
Operational intelligence
See the patterns behind your operation.
Intelligence you can see in action.
Explore illustrative detection scenarios across real-world environments.
Loading recorded detections…
Rule: Forklift in loading area · 0.75s confirmation
Recorded CCTV · Person detections; reviewed forklift, crate and box tracks.
Footage credits
Oguzhan Onal and Emre Dandil. CC BY 4.0. Excerpt re-encoded with added overlays; no endorsement implied.
Every event.
The context to act.
From a person entering a restricted zone to a growing queue, connect the signal to your team’s next step.
Your cameras. Your infrastructure. Our intelligence.
From camera stream to operational response, every step has a purpose.
Your cameras
IP CCTV · RTSP · NVR
Secure ingestion
Connect supported streams
AI processing
Edge · Cloud · On-premise
Event engine
Rules · Metadata · Clips
Your workflows
Dashboard · Alerts · APIs
Every journey. A clearer picture.
Boarding. Alighting. Occupancy. Turn bus camera streams into route-level operational insight.
Purpose-built around the realities of a moving fleet.
Journey in progress
Built for the places you operate.
Purposeful analytics for the physical world.
Start with the event that matters.
Find a detection for your operational challenge.
Fits into your existing ecosystem.
Connect supported video streams and deliver events to your operational tools.
Proof starts with a well-designed pilot.
Measure the events that matter on your cameras, in your environment.
Our approach to validationThe right question is:
does it work in your environment?
Agree on an event definition. Review representative footage. Measure missed events and irrelevant alerts. Document the limitations.
Scope a pilotEngineering, in the open.
Practical notes on cameras, inference and building useful video intelligence.
ENGINEERING NOTESCamera placement for passenger counting
A practical checklist for evaluating the camera view at a bus doorway.
Read the guide
ENGINEERING NOTESEdge, cloud or hybrid: choosing where inference runs
Choose an architecture around connectivity, data control and operational ownership.
Read the guide
ENGINEERING NOTESWhat to inspect when PPE alerts are noisy
A structured review of camera conditions and rule design before adjusting thresholds.
Read the guideFrom camera to clarity.
A measured path from your first use case to a supported deployment.
Discover
Define your use case, camera estate and operational requirements.
Validate
Test representative footage against agreed acceptance criteria.
Deploy
Configure processing, events and integrations for your environment.
Refine
Review performance and adapt as conditions change.
Deploy where it makes sense.
Edge, cloud, hybrid, on-premise or private cloud. Choose around your requirements.
Local response, intermittent connectivity and reduced video transfer.
Device capacity, updates and physical access need an operational owner.
Cloud AICentral management, scalable compute and shared reporting.
Stream bandwidth, connectivity, cloud cost and data access require planning.
Hybrid AIFleets, distributed sites and local inference with central insight.
Plan event synchronization, retry behavior and device fleet management.
On-PremiseControlled networks, local retention and sensitive infrastructure.
Your team owns capacity, availability, backups and upgrades.
Private CloudDedicated access controls and centralized enterprise governance.
Networking and infrastructure ownership must be agreed during design.
A few things you may be wondering.
Clear answers before you connect your first camera.
01Can we use our existing cameras?+
Compatible IP cameras and recorder streams can be assessed using their available protocols, codec, resolution and network access. Camera suitability is validated during the pilot.
02Does all video have to go to the cloud?+
No. Edge and on-premise processing can keep raw video local while forwarding metadata, events and selected clips according to your configuration.
03How do you validate a detection?+
We define the event, collect representative footage with permission and compare model outputs against manually reviewed examples. Lighting, occlusion and placement are included in the evaluation.
04Can the platform work across multiple sites?+
A cloud or hybrid architecture can consolidate events and reporting across sites. Connectivity, access permissions and retention are agreed during deployment design.
05What does a pilot involve?+
Camera and network assessment, a scoped event definition, configuration, observation and a review against agreed acceptance criteria. Production claims should be based on those measured results.
Your cameras already see it. Make it actionable.
Tell us about your environment. Let’s design the right video analytics pilot.
Book a live demo Your cameras. Your requirements. A clear next step.