Klerix Labs

What Klerix Labs does.

Klerix Labs gives warehouse and factory robots an on-board AI brain: perception, reasoning, and safe control, trained in simulation and shipped as a ruggedized compute module that runs on the machine itself. A warehouse or factory arm can handle a shifted pallet, a new SKU or a change in lighting without an engineer reprogramming the cell.

Skills are trained in a digital twin, proven against safety evals, then run at the edge under an independent safety monitor that records a replayable trace of every motion. Pricing follows work completed rather than seats, so Klerix competes against a labour budget instead of a software budget, and every deployment produces labelled real-world interaction traces that train the next skill model.

The physical work that moves goods through a warehouse still runs on two bad options. Fixed automation is fast and rigid: a caged cell pinned to one part and one layout, where any change in SKU means weeks of re-integration. Manual labour is flexible and scarce, priced at $18 to $30 an hour with turnover above 60 percent. Neither option absorbs a floor that changes weekly.

Klerix sells the missing middle. The robot keeps its flexibility because the intelligence sits on the machine, and the operator keeps their audit trail because a separate safety monitor checks every motion before it executes. Pricing follows throughput rather than seats, so the customer pays for tasks completed instead of licences purchased.

This fits our test cleanly. The buyer is a European or Gulf industrial operator paying in hard currency, so the revenue does not depend on the local market. The build advantage is real: an engineering team fluent in the NVIDIA robotics stack, from Isaac Sim training through TensorRT optimisation to Jetson deployment, staffed at Pakistani cost against American and German competitors. The wedge is narrow enough to close, since the first sale is one work cell rather than a whole floor.

The evidence so far supports it. Deployed fleets hold 99.97% uptime with zero unsafe-motion incidents across 11+ months, a new cell goes from scan to live skill in 14 days, and reference deployments span food, manufacturing, 3PL and automotive floors.

From the Klerix blog.

• Public eval: Klerix vs. fixed automation in warehouse sortation
  1,200 anonymized real-world tasks across 6 cells. Methodology, results, replication instructions.
• Multimodal perception: a year of recovering from cell changes
  Why fixed automation breaks, what camera, depth, lidar and 3D models catch, and the 12-month uptime data.
• Designing fleet isolation for on-board edge runtime
  Per-fleet keys, signed skill bundles, egress allowlists, and Anchor identity.

The 10xC seed.

10xC invested US$2M in March 2026 for 12.5% of Klerix Labs Ltd. at a $16M post-money valuation. Use of funds: embodied-AI R&D, field deployment and forward-deployed engineers, go-to-market, and functional-safety certification (ISO 13849, IEC 61508).

Company details are taken from Klerix Labs' own materials. Round terms are indicative until publicly announced.