Why us
Why a multilingual data specialist beats a generalist vendor: reach into low-resource languages, auditable quality, procurement-ready governance, and proprietary, rights-cleared data you own.
Why us
The specialist the generalist vendors quietly subcontract
Most data vendors are horizontal: they broker crowd labour across every task and every language, and quality is whatever the cheapest available worker produces. That model breaks exactly where modern AI needs it most — the low-resource languages, the cultural nuance, the regulated data that can't leave the country.
We built the opposite. Cognegica is a multilingual data specialist: we own proprietary, rights-cleared datasets, run native-speaker collection and annotation into languages global vendors can't staff, and attach documented consent, provenance and quality metrics to every record. The reach spans a registry of 392 enumerated languages within a 400-language footprint, with 22 Indic languages at production depth.
The bar we hold
Proof, not promises
- language footprint
- 400
- native-speaker, in-region annotation
- 100%
- inter-annotator agreement
- ≥ 0.85
- data-residency option
- India
language footprint
392 enumerated · 22 Indic at production depth
native-speaker, in-region annotation
no machine-only labels
inter-annotator agreement
reported per batch on eval & preference data
data-residency option
DPDP-aligned, sovereign delivery
What sets us apart
What generalist data vendors can't credibly replicate
Four capabilities that compound — each one is hard alone, and almost no vendor has all four for the world's under-served languages.
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Reach into the long tail
A vetted native-speaker network into low-resource Indic and African languages the open web never captured — recruited, calibrated and paid fairly.
See language coverage -
Quality you can audit
Piloted rubrics, multi-pass QA, inter-annotator agreement and audit logs — we publish methodology and metrics instead of asking for faith.
Annotation quality frameworks -
Procurement-ready governance
Documented consent and provenance per record, GDPR/DPDP alignment per engagement, and India data-residency — designed to clear legal and security review.
Trust & compliance -
Own the data, not just rent labour
We license proprietary, rights-cleared datasets and build bespoke corpora you own — a durable advantage, not a one-off labelling invoice.
Browse the catalog
Methodology
A pipeline built for SLAs and audits, not just throughput
Every dataset and engagement moves through the same accountable lifecycle: native speakers collect in the field; specialist annotators label against a co-written, piloted rubric; written consent, provenance and licence terms are attached per item; and data ships as versioned drops with a data card, quality report and audit log.
We pilot before we scale, report inter-annotator agreement per batch, and calibrate weekly against a senior reviewer — so quality is measured and defensible, not asserted.
Security posture
Built for regulated and sovereign buyers
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India data-residency
Collection, annotation, processing and storage in-country on request — for government and regulated programs.
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PII minimisation
Automated detection and redaction of faces, plates and names, with manual audit and QA sign-off.
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Consent & provenance
Written contributor agreements and document-level provenance preserved on every record.
The team
Senior data people, not an SDR funnel
Eight years of multilingual data work sit behind the company — linguists, data-operations leads and QA reviewers who have built speech, text and document corpora across India's languages. When you reach out, a senior team member who actually understands data programs reviews your project directly and tells you honestly whether and how we can help.
Common questions
What buyers ask before they choose us
- How are you different from Appen, Sama or Defined.ai?
Generalist vendors broker crowd labour across many tasks. We are a multilingual data specialist: we own proprietary, rights-cleared datasets, run native-speaker collection into low-resource Indic and African languages, and ship documented provenance, consent and quality metrics with every delivery — built for procurement and India data-residency.
- Do you actually have native speakers, or machine translation?
Native speakers, end to end. 100% of annotation is human, in-region, against a piloted rubric with multi-pass QA. We do not ship machine-only labels or machine-translated pairs as native data.
- Can my legal and security teams clear you?
Yes. We provide documented consent, provenance and chain-of-custody per record, align to GDPR / DPDP per engagement, and offer India-resident collection, processing and storage. See Trust & Compliance.
- What's the smallest engagement you take?
From a single licensed dataset off the catalog to a multi-language collection program. We scope honestly against languages, modalities, volume, quality bar and rights — see engagement models.
See whether we're the right specialist for your data
License a dataset, commission a collection, or scope an annotation program with a senior team — reply within one business day.