The ground truth layer for frontier AI.
Vendor+ pairs calibrated human expertise with purpose-built tooling to label, evaluate, and review the data your models learn from — at the accuracy regulated and frontier teams require.
Every modality. One quality bar.
Data labeling
Image, video, text, audio, and 3D annotation with task-specific tooling and calibrated reviewers.
RLHF & model evaluation
Human preference ranking, red-teaming, and structured evals to steer and benchmark your models.
Data collection & sourcing
Purpose-built datasets gathered through vetted contributor networks and field capture programs.
Domain expert review
Licensed clinicians, lawyers, and analysts annotate and adjudicate high-stakes, regulated data.
A pipeline built for iteration, not a one-off batch.
We map your taxonomy, edge cases, and quality bar before a single label is drawn.
A small, fast batch validates guidelines and tooling against your ground truth.
Calibrated workforce pods ramp with automated QA and inter-annotator agreement checks.
Weekly accuracy reviews feed back into guidelines as your model's needs evolve.
"Vendor+'s reviewers caught labeling drift our own QA missed for weeks. Our eval accuracy moved more in one sprint than the previous quarter."
Bring your hardest labeling problem.
Most pilots ship a scoped, quality-audited batch within a week — no long-term contract required to start.