We build vetted contributor pools in India for AI labs — RLHF, expert annotation, and evals screened on your rubric, measured in every batch, and accountable to the founders. Built for AI teams in the US and Europe.
SCREENED ON YOUR RUBRIC → MEASURED IN EVERY BATCH → FOUNDER-ACCOUNTABLE
Models are only as good as the human judgment they learn from.
Most AI data comes from anonymous crowds graded on generic quizzes — hidden variance, unaccountable labels, acceptance tests that pass while behaviour degrades.
We run a different model.
Every Goldset contributor is screened on your rubric, scored against seeded gold in every batch, and traceable to a vetted expert under NDA.
We give you the scorecard — not just the labels. If a batch misses the agreed threshold, we redo it at our cost.
We're not a labelling vendor — we're the vetted human layer that turns expert judgment into trainable data, for language, code, and now physical & temporal AI.
Four workstreams, one standard of quality — scoped to your rubric, staffed by vetted specialists.
Pairwise comparisons, rankings and rationales to train and stress-test reward models.
Code, maths and STEM judgment from screened engineers and PhDs — not a generic crowd.
We build rubrics, run them at scale, and surface the failure modes benchmarks miss.
Native-tested data across India's major languages, for models going beyond English.
Vetted domain experts annotate professional-work video for embodied-AI and VLA training — causal event graphs, action-language captions, and 2D contact/keypoint labels. Backed by a proprietary archive of annotated multi-profession video in India.
A task-specific certification, built from your spec, that contributors must pass (80%) before they touch production data.
Continuous QA with tracked inter-annotator agreement, so drift is caught in the batch — not by you, weeks later.
Every label traces to a vetted, NDA-bound contributor and a batch reviewer. No anonymous crowd.
You work directly with the people accountable for the outcome — and we redo off-threshold work at our cost.
We start behind an NDA, before any of your data changes hands.
Per-contributor NDA + IP assignment, a DPA, and non-circumvention on every engagement.
Access-controlled workspace, no subcontracting, activity logging, and a retention/deletion policy. GDPR & India DPDP-aware.
SOC 2 / ISO 27001. We share our current security posture on request.
Two founders on the ground, an expert pool sourced across India, and a focus on serving AI labs in the US and Europe. You work with the people who own the outcome — not an account queue.
Send us one hard task and a rubric. We'll vet a pool, label a sample, and show you measured quality — within a week.