Task creation
Realistic scenarios, edge cases, tools, and reference answers.
Environment OS · executable AI data
Turn real work into learning worlds.
Create secure environments where agents act, get verified, and improve – with models and experts in the same loop.
- Runtime agnostic
- VPC ready
- Human verified
TASK · resolve the account exception safely
AGENTmodel + harness
SETUPstate · tools
ACTobserve · call
VERIFYoutcome · policy
IMPROVEexpert · curriculum
Human expert services
Human expertise makes rewards trustworthy.
Our experts create the work, define success, and verify outcomes – turning domain judgment into RLVR-ready signals.
Rubric creation
Criteria, weights, safety boundaries, and partial-credit logic.
Verification
Expert judgments, consensus, calibration, and audit trails.
Expert-built RLVR assets
Every human judgment becomes reusable infrastructure.
From task banks to failure curricula – created, calibrated, versioned, and ready for training.
EXPERT NETWORK
SMEQAADV
Domain experts
Managed by SuperAnnotate or connected from your organization.
- Task banksscenarios + tools
- Reference answersgold trajectories
- Rubricscriteria + weights
- Verifier datajudgments + consensus
- Adversarial casesboundaries + failures
- Curriculadifficulty + coverage
RLVR OUTCOMEREWARDVERIFIABLE
Trusted training signal
agreement 97.2% ✓
- Managed experts by SuperAnnotate
- Your experts on our platform
- Hybrid delivery
Environment packs
Different worlds. The same control plane.
Start with a proven runtime pattern. Customize the task, state, tools, and rewards.
Multi-system workflow
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Real outcomes, safely simulated.reward 0.94 ✓
Continuous improvement
Every failure creates the next learning task.
Production evidence flows back into a private, measurable curriculum.
- 01
Connect work
traces · repos · tools
- 02
Build world
state · tasks · runtime
- 03
Run agents
models · harnesses
- 04
Verify
outcome · safety
- 05
Improve
experts · curriculum
- Environmentrelease v3.2
- Episodes12,480
- Verifier agreement97.2%
- Model lift+18 pts
One Environment OS
Four products become one executable loop.
Author the world. Connect the models. Govern every version. Automate the feedback.
Multimodal AI
Build tasks, inspect state, replay every trajectory.
Agentic AI
Run any model, harness, judge, or adversary.
Data Management
Version environments, tasks, access, and releases.
Orchestration
Reset, execute, verify, route, and improve.
Build the world your agents need.
From proprietary work to secure environments, verified trajectories, and continuous improvement.