FOR TECH PROVIDERESAdd on-device detection to your hardware.
Embed MAKRR's training and inference pipeline into your robotics, drone, or industrial product. Your customers train their own models. You own the deployment.
WHAT YOU GET
The full vision stack, ready to embed.
TRAINING PIPELINE
Customers train, your team stays out of it
Text and image-ref annotation, one-button training, 17 architecture choices. Hosted on your infrastructure or theirs.
EDGE INFERENCE
Up to 260 fps, sub-10ms latency
TensorRT-optimised models on Jetson Orin. Fits disconnected, mobile and air-gapped deployments. No cloud round-trip.
FLEET MANAGEMENT
Push updates to a fleet from one screen.
Device health, detection throughput and model versioning across every deployed camera, in one dashboard.
DIY-AI
Plug-and-Play Tech
01
STREAM IN
Upload or stream videos and images onto the platform.
02
ANNOTATE + TRAIN
Tag classes and train your model with one button.
03
DEPLOY ANYWHERE
Ship to any hardware — edge, on-prem or cloud.
04
MONITOR LIVE
Get detections and insights in real time, via API.
Frequently Asked Questions
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No. The platform is designed for non-ML teams, but includes advanced settings for technical users who want custom training parameters, augmentations, or API integrations.
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MAKRR is hardware-agnostic. It works with IP, industrial and USB cameras, embedded sensors, and footage exported from robots or drones. If your system streams or exports standard video, you can likely use it.
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Yes to all. Edge deployment supports fully air-gapped environments — MAKRR can run completely offline.
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Yes, our edge deployment option will support fully air-gapped environments.
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It depends on object complexity, variation and lighting. With guided labelling, teams often start with a few hundred labelled frames per class, then add edge cases from real operations. Built for continuous improvement, not a one-shot dataset.
Embed the Stack.
Bring vision AI to your hardware without building it from scratch.