© Copyright 2026. All Rights Reserved.
As models ship faster and in more languages, preference and evaluation data has to stay calibrated across every reviewer and vendor — or your alignment signal degrades and your documentation falls behind regulation.
Reviewers interpret the same rubric differently; agreement decays as the rubric evolves release to release.
In-house annotators, external vendors and contractors produce eval data with no shared calibration.
EU AI Act GPAI obligations demand evaluation and training-data documentation you cannot reconstruct after the fact.
Pairwise and ranked human preference data with calibrated, consistent raters.
Instruction-following, quality and policy evals against versioned rubrics.
Adversarial probing and harmful-content evaluation by vetted specialists.
Evaluation across dozens of languages with native-speaker reviewer pools.
Rubric-based review of agent trajectories and code generation.
Evaluation records and methodology packaged for systemic-risk reporting.
Targets we govern to and report on every program; engagement results are shared under NDA.
DS Orchestrator keeps your evaluation signal consistent across every source and produces the documentation regulation now requires.
Labelbox
CVAT
V7 Darwin
SuperAnnotate
Label Studio
Roboflow
Scale AI
Encord
— and any annotation platform via API —
Bring one eval or RLHF workflow where agreement is drifting or documentation is thin. We will calibrate it and show you the signal and the audit trail. Scope a pilot.
