Custom AI video analytics — built by the team behind Kalytera VMS
We build the video technology inside Kalytera — object detection, camera integrations, and streaming pipelines — and we take on client projects that need the same engineering, delivered on your infrastructure.
What we build for clients
Fixed-scope projects or ongoing engineering — always with a working first milestone on your own streams.
Custom AI video analytics
Object detection on your existing cameras: person and vehicle detection, custom object classes, zone intrusion, line crossing, loitering, people counting. Alerts delivered to webhooks, email, or your own systems — with snapshot evidence and tuned false-positive rates.
- Works with RTSP / ONVIF streams you already have
- Runs on-premises — CPU or GPU, no cloud required
- Threshold tuning on your real footage
Camera & VMS integrations
Integrate IP cameras into your product or platform: discovery, live streaming to the browser (RTSP → WebRTC / HLS), recording pipelines, PTZ control, and event subscriptions across ONVIF, Hikvision, Dahua, and Axis.
- One clean API over multiple camera brands
- Low-latency browser playback without plugins
- Battle-tested against real hardware in our lab
Detection model training & tuning
Custom-trained object detection models on your own footage and object classes, delivered as ONNX with integration sample code, honest accuracy metrics, and deployment tuning for your hardware.
- Dataset review and labeling guidance
- Validation against held-out footage from your cameras
- CPU / GPU inference optimization
Kalytera customization & white-label
Deploy Kalytera VMS for your sites or ship it under your brand: installation, camera onboarding, custom features, integrations with your existing systems, and ongoing support retainers.
- Faster and cheaper than building custom from zero
- OEM / integrator licensing available
- Direct line to the people who wrote the code
How we work
You see working software before committing to the full project.
Scope call
A free 20-minute call to understand your cameras, infrastructure, and what "done" looks like. You get a written fixed-scope proposal.
Proof milestone
The first milestone always proves the critical path on your own streams — detection firing, video in the browser, or a baseline model with real metrics.
Delivery & support
Documented code in your repository, deployment on your servers (Windows or Linux, Docker optional), and an optional monthly support retainer.
Tell us about your project
A couple of sentences is enough — cameras, goal, and timeline. We reply within 24–48 hours on business days.
Want to see the quality first?
Everything we offer as a service is running inside our own product — download it and judge for yourself.