No-code computer vision · Edge deployed

Teach any
camera to see.

If your people can see it, your cameras can learn it. Train, deploy, and run vision AI on your own footage, without a data science team. Nothing leaves your network.

Email us →Book a 30-min call
One model architecture · every domain
01The platform

One dashboard. First label to deployed fleet.

One no-code computer vision platform: collect footage, annotate it, train a model, push it to edge devices. Then watch detections, alerts, and device health from the same screen.

Maritime demoVESSEL DETECTION IN FOG · RECORDED PLATFORM OUTPUT
02Method
01AnnotateType a class, drop a reference crop, or bootstrap from a prior model. First 200 frames labelled on day one.
02TrainPick one priority: speed, balance, or accuracy. Press one button. A deployable model in under a day.
03DeployPush to the edge at the line. Frames in, detections out, on-prem. Nothing leaves your network.
03By the numbers
Days
Footage to deployed model
0
Production model architectures already
0 fps
Up to · edge inference, on your hardware
0%
On-prem · your data stays yours
04Sectors
S/01Manufacturing→Surface defects · assembly · packaging · safety S/02Warehousing & Logistics→Pallet flow · dock audits · compliance S/03Unmanned Systems→Drones · ground stations · disconnected ops S/04Healthcare→Instruments · process verification · compliance S/05R&D & Life Sciences→Microscopy · assays · protocol compliance S/∞Your industry→If a camera can see it, the platform can learn it
If a trained member of staff can see it, the system can learn it.
THE WORKING RULE · MAKRR
05Questions
Do we need new cameras?
No. MAKRR runs on the CCTV, RTSP and USB feeds you already have. Adding cameras is optional, never a requirement to start.
Where does our footage go?
Nowhere. Inference runs on-prem, on your hardware, inside your network. Footage does not have to leave the building, and there is no cloud round trip.
What hardware does it run on?
Edge hardware, from a compact single-board computer to a rack server. We size the device to your camera count and the throughput you need, rather than tying you to one vendor.
How long until a working model?
Days, not months. Send footage of one problem and we return a model trained on your own data, without a data-science team.
Do we need a data-science team?
No. The person who knows the problem trains the model: type a class, label a handful of frames, pick a priority, and deploy. No code.

Start with one camera.

Send us the problem. We reply with a working model on your own footage.

Email us →Book a 30-min call