Consented text, audio, and speech datasets for pretraining, instruction tuning, SFT, and RLHF - collected by real people, in the languages your model actually needs.
Task instructions with grounded, human-written responses across domains - not scraped, not templated.
Ranked and pairwise preference judgments with documented rubrics and multi-tier QA.
Native recordings - English, Spanish, Portuguese, Hindi and regional Indian languages - transcribed and validated.
Parallel and monolingual corpora from vetted writers, with PII scrubbing and consent records.
Legal, medical, finance and technical writers for specialist evaluation and fine-tuning sets.
Every batch passes documented acceptance criteria before delivery, in your schema.
Contributors are vetted and consent is documented - your dataset stays ethical and defensible.
Native speakers across India and LATAM, not gig-farmers guessing accents.
Sample batches and pilots before big commitments - fixed scope, fixed price.
Send your task description or sample - we'll scope a small pilot and show you quality before you commit.
Talk to us about dataInstruction and SFT pairs, preference and RLHF judgments, speech and audio corpora, multilingual text, and expert domain writing - collected and annotated by real people with documented consent.
Native English, Spanish, Portuguese, Hindi and regional Indian languages, with more coverage added per project as the pilot proves out.
Documented rubrics, vetted contributors, multi-tier review, and batch acceptance criteria. You define the bar; we sign to it.
Yes. Most teams start with a sample batch or pilot of a few hundred rows to validate quality and schema before scaling.
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