Ground the agent
Give it expert-authored context, decision criteria, and evaluations drawn from the workflow it needs to handle.
Build AI that understandsthe work
We build expert-grounded data, evaluation, and agentic systems for production workflows where context, judgment, and governed action matter.
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Built for production impact.
Backed by trajectories, expert review, and release evidence that makes progress visible from data collection through agent behavior.
- Coding dataset58kReal engineering tasks with 833k trajectory steps, 29k reward signals, and 382k tool interactions.
- Healthcare dataset1M+Clinical records spanning prescriptions, diagnostics, radiology, and pathology for high-context healthcare models.
- Expert network2M+Domain specialists and engineers across healthcare, computer science, electrical, mechanical, civil, and chemical disciplines.
Agentic AI built around the work
We design agents around real decisions, tools, policies, and escalation paths, so automation stays useful, observable, and accountable.
Connect the work
Integrate the tools, memory, and handoffs required to move from a model response to a useful operational outcome.
Govern every run
Keep actions observable with reviewable traces, release controls, escalation paths, and human approval where risk demands it.
From training data to deployed systems.
Each engagement can stop at a validated artifact or continue into a managed system. Every handoff preserves sources, rubric decisions, and expert review.
5,000+active experts available across five verticals
SFT datasets
Domain-grounded demonstrations for instruction tuning, with expert methods, complete context, and gold responses.
58k engineering tasksPreference datasets
Ranked alternatives with explicit reasons for correctness, factuality, tone, and useful tool use.
2M+ expert networkRL environments
Versioned tasks, tools, states, rewards, and failure cases for agents that learn inside real workflows.
833k trajectory tracesEvaluation suites
Held-out cases and scoring rubrics that test reasoning, method, safety, and downstream outcomes.
Five expert verticalsGuardrailed agent systems
Production agents grounded in source systems, evaluation gates, permissions, and reviewable traces.
1M+ health records