Your Platform, Supercharged with AI Vision

Easily embed no-code computer vision into your product or system — no ML team needed.

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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 Our Partners Are Saying

“We knew we needed a better way to catch defects before products left the production line, but building an in-house solution would have taken months and required skills we didn't have. With MAKRR, we just used their pre-built model and got our project running within days. We're now spotting issues much earlier, reducing rework and avoiding unnecessary costs.”

— Director of Operations, Automotive Parts Manufacturer

“We already had cameras installed throughout our warehouses, but they were only being used to review incidents after they happened. MAKRR helped us get much more value from that setup without replacing any hardware. We can now monitor inventory movement and operational processes from one dashboard, and it has given our teams much better visibility across multiple sites.”

— VP of Supply Chain, Logistics Provider

“A lot of our work involves repetitive visual checks and counting samples, which takes time and can vary from person to person. We were surprised by how quickly we were able to get MAKRR working with our own data. Instead of planning for a long development project, we had a model we could actually use within days, and it's become a valuable part of our research workflow.”

— Lead Researcher, Biotech Company

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.