v0.1 — private beta · robotics data labelling

Labl'r.ai

Closing the data gap in robotics

Purpose-built annotation pipelines for manipulation data — grounded in physics, scaled for production.

Supported by

BLK71
National University of Singapore

Our solution

What Labl'r.ai provides

Optimized rendering for robotics datasets

Purpose-built pipeline handling high-frequency sensor streams — depth, RGB, point clouds — without frame drops.

Physically grounded automated labelling

Labels grounded in real-world physics so annotations transfer directly to hardware without domain adaptation.

Temporally segmented annotations

Segment actions and states across time so models learn the full trajectory, not just individual frames.

Frame-by-frame segmented annotations

Pixel-perfect per-frame segmentation for fine-grained object and scene understanding in manipulation tasks.

Failure annotations

Automatically identify and annotate failure modes so your models learn to recover — not just succeed.

Pricing

Built for your scale

No rigid tiers. Every deployment is configured around your data volume and pipeline requirements.

Enterprise

Custom

Contact us

Pricing scales with your annotation volume and pipeline complexity. Reach out to discuss what fits your team.

  • Custom annotation SLAs
  • Dedicated support engineer
  • Tailored labelling pipelines
  • Volume & batch pricing
  • Private cloud deployment option
  • Integration with your data stack
Contact Us

Get in touch

Ready to close the data gap?

Join the waitlist or start a conversation about your annotation pipeline.

contact@lablr.ai