Add on-device detection to your hardware, without building an ML team.

Embed MAKRR's training and inference pipeline into your robotics, drone, or industrial product. Your customers train their own models. You own the deployment.

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Plug-and-Play Tech

Embed into hardware, use our APIs to integrate AI into your tech solutions.

DIY-AI

1. Upload/Stream videos/images onto our platform.

2. Annotate + train your model.

3. Deploy on any hardware.

4. Monitor/get insights in real-time.

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WHAT YOU GET

The full vision stack, ready to embed.

TRAINING PIPELINE

Your customers label, train and update models without your team involved.

Text and image-ref annotation, one-button training, 17 architecture choices. Hosted on your infrastructure or theirs.

EDGE INFERENCE

Up to 260 fps on Jetson hardware. Sub-10ms latency, no cloud round-trip.

TensorRT-optimised models on Jetson Orin. Fits disconnected, mobile and air-gapped deployments.

FLEET MANAGEMENT

Push model updates to a fleet of devices from one dashboard.

Device health, detection throughput, model versioning — across every deployed camera in one screen.

Frequently Asked Questions

  • 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.

  • MAKRR AI is hardware-agnostic. It works with IP cameras, industrial/USB cameras, embedded sensors, footage exported from robots, drones, etc. If your system can stream or export standard video formats, you can likely use it with MAKRR AI.

  • Yes to all!

  • Yes, our edge deployment option will support fully air-gapped environments.

  • It depends on object complexity, variation, and lighting. Thanks to guided labeling and iterative training, teams often start with a small, representative sample (e.g., a few hundred labeled frames per class) and then improve performance by adding edge cases from real operations. The platform is built for continuous improvement rather than a one-shot dataset.