Where AI learns to work.
Turn any workflow to a structural dataset to train AI models & deploy self training models with repeatable training environments.
Three main stages of model training.
All require deep-tier data to diversify.
Pretraining
Trillions of tokens of text teach language, facts, and reasoning patterns. But public text is finite, within a few years it runs out.
Supervised fine-tuning
Models train on the expert demonstrations and imitate the shown behavior, as a child learns from watching.
Reinforcement learning
Models output a result, get scored on the outcome, and update next time. Every run gets further than the last.
Model needs the actual work, not a description of it.
Volume is easy. Signal is rare. As few as 312 augmented human trajectories produced a 141% relative improvement over the base model - because every one of them was real work.
Synthetic sandboxes
Auto-generated tens of thousands of coding tasks, SQL sandboxes, API workflows, web-tool tasks, synthetic simulations.
Native work environments
Real software, real experts. Pixelnode generates deep-tier data with professional experts for long horizon tasks with verifiable outcomes.
The Human Data Platform.
Turn expert knowledge to trained agents.
One expert hour becomes a structured training asset.
A task brief goes in. A complete, structured, replayable record of expert work comes out — synchronized to the frame, ready for training.
Repeatable environments. Verifiable results.
Checkpoint forking
Freeze minute 47 of a real expert session and let agents practice recovering — a thousand times.
Result Verifier API
The automatic referee. Programmable checks against files, app state, and exports.
Prebaked golden images
Versioned machine states. Compose a "level" per occupation in minutes.
Agent gateway
The same channel a human uses. Adapters for every major trainer.
Instant restore & fleet
Byte-identical restore in seconds, not VM-minutes. Parallel episodes, isolation, metering — across all major clouds and regions.
Your experts. Your data. Your agents. The same stack — inside your walls.
Local Capture
Deploy capture on company workspaces and record company-specific workflows.
On-Premise Data Storage
Capture data lives in your own data centers. It never leaves the building.
Custom Trained Agents
Agents do company work — trained on your own company data.
Private beta — now onboarding design partners