KNONIK

From raw sensor data to curated, cleaned data delivered at high speed to your GPUs

Try it out, free See the benchmarks

Your best engineers are doing data janitorial work: every hour on pipelines that never stop breaking is an hour not spent on the model and deployment.

Converting logs, syncing sensors, cleaning demos, labelling episodes
Done by hand, with scripts that break on every new robot
It mostly works, so nobody sees the stack is broken

Pipeline rebuild tax
Storage bills that scale wrong
GPU time burned on waiting
Manual annotation bottleneck
Data that doesn't compound
No signal on data quality

From raw robot logs
to training-ready data

knonik · dataset browser

Collect and curate data at scale, without breaking pipelines

knonik · quality check

Auto quality check isolates bad episodes before they reach your curated sample

knonik · annotated episode

Annotation down to every phase of every episode

training cluster · 8 GPUs

GPU 095%

GPU 193%

GPU 296%

GPU 394%

GPU 497%

GPU 592%

GPU 695%

GPU 794%

utilization, last minute95%

High-speed data delivery from cloud to GPU

Stop building pipelines.
Start building robots.

Training-ready robot data, without the infrastructure headache.

Try it out, free

See the benchmarks →