The world's AI doesn't speak every language. We collect the data that fixes that.
Consented, rights-cleared training and evaluation data across 400 languages — built by native speakers in the low-resource and code-mixed languages of the Global South that no one else can reach. Measured (IAA ≥ 0.85), sovereign, and India-resident. Built for the labs shaping AI.
- 400-language footprint
- India-native operations
- NDA-grade governance
What every Cognegica dataset is built for
Built for technical buyers · governed end to end
- Global South languages
- India data residency
- Consent-cleared sourcing
- NDA-grade delivery
- 400 languages in scope
- Native-speaker workforce
- We never publish client names or logos
Client confidentiality by default — we don't publish customer names or logos, and we sign your NDA on request.
Proof, not promises
- Languages in scope
- 400
- Rights-cleared & consented
- 100%
- Data-residency capable
- India
- Datasets live in the catalog
- 7
Indic, African & low-resource — native-speaker sourced
Written contributor agreements on every record
Collected, processed & stored in-country (DPDP-aligned)
Across legal, healthcare, safety/eval & speech
Every figure above is sourced from documented, rights-cleared delivery — the numbers a procurement and ML team can verify, not marketing claims.
Featured datasets
High-demand data your model can train on today
The offerings AI teams are buying right now — off-the-shelf Physical AI, studio speech/TTS, and multilingual safety evaluation — each documented, rights-cleared and licensed repeatably.
Every card above is a real, browsable catalog entry with its own data card. Client engagements are delivered under NDA — we don't publish customer names or logos.
400 languages — including the ones the web forgot.
From Devanagari to Dravidian, from Maithili to Santali to Hausa — we run native-speaker field operations in regions most vendors can't economically reach. Explore 392 of them below (342 low-resource); the full 400-language footprint is in scope.
North-East = our deepest low-resource field-ops
Accurate India map with official boundaries (all states & UTs, incl. J&K & Ladakh) — see the full searchable list (right) for every language. African & global coverage is listed there too.
shown (filtered) · 400-language footprint in scope
The Cognegica data lifecycle
From the field to your training run — governed end to end
Every record moves through four accountable stages. The same pipeline that powers the catalog builds your custom datasets.
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01
Ingest
Native speakers collect audio, video, image and text in the field — across Indic, African and low-resource languages the open web never captured.
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02
Transform
Specialist annotators label and structure every record, with calibrated guidelines and two-pass QA — measured against inter-annotator agreement.
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03
Govern
Written consent, provenance and license terms are attached to each item — India-resident and DPDP-aligned, ready for a procurement review.
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04
Activate
Datasets ship as versioned drops with a data card — published quality metrics and documentation, so your model trains on data you can defend.
Domains
Vertical datasets, built for the way each industry actually talks
Domain-specialist annotators, curated ontologies, and documented consent — so the data reflects real practice, not scraped approximations.
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Legal
Court judgments, statutes, contracts and clause-level entity tags across Indian jurisdictions and languages.
Explore legal data -
Healthcare
De-identified, consented patient–clinician dialogue, clinical NLP and speech — DPDP-aligned and India-resident.
Explore healthcare data -
Agriculture
Vernacular advisory, crop and agronomy data for the languages farmers actually speak in the field.
Explore agriculture data -
BFSI
Code-mixed voice and document data for KYC, fraud, advisory and compliance across Indic languages.
Explore BFSI data -
Government
Vernacular-first public-service and citizen-interaction data aligned with national language programs.
Explore government data -
Safety & Evaluation
Red-team, instruction-following and cultural-safety eval sets for languages your benchmarks don't cover.
Explore safety / eval data
Capabilities
Beyond the catalog: data services on demand
When the dataset you need doesn't exist yet, we build it — with the same rights-cleared, documented rigor as our off-the-shelf data.
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Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Learn more -
Data Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Learn more -
RLHF & Evaluation
Preference data, red-teaming, DPO and culturally-calibrated evaluation — so your model learns the judgement your users expect.
Learn more -
Physical AI Data Collection
A data-collection SERVICE for embodied AI: multi-sensor field capture — RGB-D, LIDAR, IMU, force-torque and teleoperation — across real Indian environments.
Learn more -
Physical AI Data Annotation
A spatial-annotation SERVICE: 3D boxes, point-cloud segmentation, 6-DoF pose and frame-accurate events — including annotation of physical/sensor data you've already collected.
Learn more -
Sovereign Data
India-resident collection, processing and storage with documented consent and provenance — built for regulated buyers and government programs.
Learn more
Sovereignty & trust
Data you can defend in a procurement review
Compliance is a feature, not a footnote. Every dataset is built to clear legal, security and regulatory scrutiny before it ever reaches your training run.
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India data residency
Collection, annotation and storage performed in-country, aligned with the DPDP Act, 2023 — sovereign delivery for government and BFSI.
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Consent on every record
Written contributor agreements granting commercial reuse, with a consent reference and authorship log attached to each item.
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Documented data cards
Provenance, methodology, quality metrics and license terms published per dataset — transparency that technical buyers can audit.
Why us
What generalist data vendors can't credibly replicate
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Vendor-network reach
Native-speaker field operations in low-resource regions most vendors can't economically staff.
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Rights-cleared by design
Consented, licensable data with provenance — not scraped corpora you can't legally train on.
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A decade of delivery
Nearly a decade of multilingual data delivery for production AI teams and frontier labs.
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Documented quality
Published IAA, WER and QA pass rates with two-pass review on every delivery.
Stay in the loop
Subscribe to The Cognegica Brief
A monthly note on multilingual and Global-South AI data — new datasets, rights & sovereignty practice, and lessons from the field. Unsubscribe in one click. No spam.
FAQ
What buyers ask before they license
- Is the data rights-cleared and safe to train on commercially?
Yes. Every record is created or sourced under written contributor agreements that grant commercial reuse, with a consent reference and authorship log attached. We do not ship scraped data you can't legally train on.
- Which languages do you cover, including low-resource ones?
Our scope spans 400 languages — major Indic languages, low-resource Indic and North-East languages such as Maithili, Bhojpuri, Santali, Bodo and Tulu, and major African languages including Hausa, Yoruba, Amharic, Swahili and Zulu. If a language isn't in the catalog yet, we can collect it.
- Can you guarantee India data residency and DPDP compliance?
Yes. We offer sovereign delivery: collection, annotation, processing and storage performed entirely within India, aligned with the DPDP Act, 2023 — with de-identification SOPs for personal data. This is built for government, BFSI and regulated enterprise buyers.
- How do you document quality and provenance?
Each dataset ships with a data card: published quality metrics (inter-annotator agreement, QA pass rate, and word error rate for speech), methodology, annotator profile, and full provenance and license terms. Annotation runs two-pass QA with adjudication.
- Do you offer Physical AI data services?
Yes — as a service. We provide Physical AI data collection (multi-sensor field capture: RGB-D, LIDAR, IMU, force-torque and teleoperation) and Physical AI data annotation (3D boxes, point-cloud segmentation, 6-DoF pose and frame-accurate events), including annotation of sensor data you've already collected. It is one of several capabilities, held to the same rights-cleared, documented rigor as our language data.
- Can you build a custom dataset to spec?
Yes. When the data you need doesn't exist, we scope and build it — choosing languages, domains, modalities and license terms with you, and delivering versioned drops with full documentation. Start with a custom-dataset request.
License data your models can actually use.
Browse the catalog for off-the-shelf datasets, or tell us what you need and we'll build it — rights-cleared, documented, sovereign-ready.