One set of environments
Everyone runs the same public challenge environments, so a passing run means the same thing for every engineer on the team.
Your engineers work from the same challenge environments, rubrics, and run traces — so “the agent worked” turns into a scored result anyone can open. Most teams start with a paid advisory or a two-day workshop to scope the rollout, then run it themselves on the platform.
The shared surface underneath every rollout — the same environments, evaluation, and controls for everyone.
Everyone runs the same public challenge environments, so a passing run means the same thing for every engineer on the team.
Each run is graded against fixed scoring dimensions and leaves a trace, so "it worked" becomes a result you can open, read, and argue with.
Engineers connect agents over MCP mode or the CLI from the same setup docs, instead of each person wiring up their own harness.
The tool catalog and docs cover the choices a run actually depends on — providers, models, scoped API keys, prompts, and MCP servers.
Send security, legal, and procurement questions through onboarding so each answer matches your deployment and contract, not a generic FAQ.
Keep what each engineer completed and which runs were reviewed, so enablement work leaves evidence behind instead of a hunch.
Environment, episode, reward, skill. When everyone works from the same loop, a review is a comparison of decisions — not a debate about whose demo looked better.
Optional paid sessions to scope and kick off your rollout. Pricing is confirmed when we scope the engagement — there’s no fixed package.
A focused working session on one agent workflow, evaluation decision, or tooling bottleneck your team is stuck on.
Hands-on enablement for a team adopting agent evaluation — environment design, review habits, and the operating patterns that make runs comparable.