Kailash Labs

Founded by Shubham Sharma

Test and evaluate general-purpose robot models on physical workplace tasks

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You can use Kailash Labs to test and benchmark general-purpose robot models on physical robots. Instead of relying on simulation benchmarks or selective demos, the system runs models on real hardware performing economically useful workplace tasks. It systematically tracks where policies succeed, records every failure, and logs human recoveries as structured data. This helps robotics teams and developers measure true model reliability, discover operational failure modes, and gather the physical real-world experience needed to train dependable autonomous systems.

What Kailash Labs does

Deploy robotic foundation models onto real hardwareRun repeated physical task trials across varying environmentsLog model failures during task executionCapture human operator recoveries as structured dataMeasure task success and completion ratesBenchmark VLA policies against physical workplace standardsEvaluates robot models directly on physical hardware in workplace settingsTests policies against practical, economically useful manual tasksLogs every policy failure and breakdown systematicallyConverts human recoveries into structured training dataRuns multi-trial benchmarks across diverse real-world environmentsSupports evaluation of generalist Vision-Language-Action (VLA) models