Real enterprise workflow datasets – with RL training rails
Tune your frontier models and validate your enterprise workflows against versioned, scrubbed data packs and our robust sandbox.
Labeled traces
Core
Steps, states, retries, errors with redaction + provenance.
UI Variants
Adaptive
Across app versions and tenants (role/locale/timezone).
Eval harness + baselines
Testing
Success, latency, recovery score metrics.
RL training rails
Training
Sandboxed browser + deterministic state machine that can inject drift, spinners, auth loops, and partial renders to train recovery policies.
Synthetic augmentations
Enhanced
Aligned to real patterns (selector swaps, modal nesting, copy mutations), not random noise.
Operational realism
Sourced from real flows; synthetic only where it mirrors observed failure modes.
Versioned per app/release
Each pack pins app build + schema; upgrades come as minor versions with diffs.
Sim-to-real bridge
Models/tools trained in the sandbox are validated on held-out real traces and scored with the same eval harness.
Developer-ready
One-line runner to spin up the sandbox in CI for regression and ablation tests.
Training rails & RL sandbox
A complete reinforcement learning environment for workflow automation
Integrations
Integrates with your favorite tools
Enhance productivity, streamline processes, and keep everything connected without disrupting.
