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Annotation

Annotation pipelines built for foundation-model SLAs.

Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.

Speech, NLP, computer-vision and multimodal labeling with a measured quality bar, two-pass QA and adjudication — across the languages and domains generic annotation crowds can't credibly cover.

Expert data annotation and labelling workflow illustrating Data Annotation
Modalities
Audio, Text, Image, Video, Multimodal
Languages
22 Indic + 50 global
Quality bar
IAA ≥ 0.85 · two-pass QA
Onboarding
NDA → SOW in 14 days
The problem

Annotation quality is where most data programs quietly fail. A generic crowd can't disambiguate honorifics, code-mix, regional idioms or domain-specific entities — and without measured agreement, you can't tell good labels from confident guesses until the model regresses.

Scaling without losing the quality bar is the hard part: guidelines drift, edge cases pile up, and inter-annotator agreement slips just as volume ramps.

The outcome

Consistent, measured ground truth: calibrated guidelines, specialist annotators, two-pass QA with adjudication, and inter-annotator agreement reported per batch. Versioned deliveries with audit logs and a data card — labels you can stand behind.

Use cases

Where teams put this to work

  • Media & Speech

    Speech transcription & diarization

    Accurate transcription, speaker diarization and timestamping across accents and code-mix, with WER and IAA reporting.

  • Enterprise GenAI

    NLP entity, intent & sentiment labeling

    Entity, intent, relation and sentiment annotation with calibrated guidelines and two-pass QA for production NLP.

  • E-commerce / CV

    Computer-vision & multimodal labeling

    Bounding boxes, segmentation and image-text pairing for catalog, search and multimodal model training.

How it works

A pipeline built for SLAs

  1. 1

    Guidelines

    Co-write annotation guidelines with the client team and pilot reviewers.

    Calibrated rubric

  2. 2

    Pilot

    Run a 500-unit pilot to validate guidelines and tooling.

    IAA ≥ 0.80

  3. 3

    Production

    Scale to full volume with daily QA sampling and weekly calibration.

    IAA ≥ 0.85

  4. 4

    Delivery

    Versioned drops with audit logs, kappa reports, and dataset cards.

    Audit-ready

Quality & QA

Quality gates

  • Inter-annotator agreement (IAA) ≥ 0.85 on production tasks
  • Two-pass QA with adjudication and daily quality sampling
  • Calibrated guidelines co-written with your team and piloted first
  • Per-batch quality reports and full audit logs

At a glance

What does Data Annotation cover?

The technical spec for this service — modalities, language coverage, deliverable formats and the QA stages every batch passes through.

SpecificationDetail
ModalitiesAudio, Text, Image, Video, Multimodal
Languages / coverage22 Indic + 50 global
Deliverable formatsJSON / CoNLL / COCO labels, transcripts (TXT/JSON), per-batch QA report
QA stagesGuideline calibration → two-pass labelling → adjudication → IAA reporting per batch

Representative spec. Exact modalities, languages, formats and acceptance thresholds are scoped per project in the SOW.

Trust & compliance

Data you can defend in a procurement review

Compliance is a feature, not a footnote — every delivery is built to clear legal, security and regulatory scrutiny.

  • Rights-cleared & consented

    Written contributor agreements granting commercial reuse, with a consent reference and authorship log per record.

  • India-residency capable

    Collection, annotation, processing and storage available in-country, aligned with the DPDP Act, 2023.

    Sovereign delivery
  • Documented & measured

    Published quality metrics, provenance and license terms on every delivery — transparency technical buyers can audit.

FAQ

Data Annotation — common questions

Is the data rights-cleared and safe to use commercially?

Yes. Every record is created or sourced under written agreements granting commercial reuse, with a consent reference and authorship log attached. We don't ship scraped data you can't legally train on.

How do you measure and report quality?

We publish quality metrics on every delivery — inter-annotator agreement, QA pass rate, and (for speech) word error rate — with two-pass QA and adjudication. Each drop ships with a data card documenting methodology and provenance.

Can you guarantee India data residency?

Yes. We offer sovereign delivery: work performed and stored entirely within India, aligned with the DPDP Act, 2023. See our Sovereign Data page for the full residency and compliance posture.

How do we get started?

Tell us your languages, modalities, volume and timeline. A senior PM scopes the work and replies within one business day; we move from NDA to a signed SOW in about 14 days.

Scope a pilot for your next data program.

Tell us what you need — we'll recommend the right approach, quality bar and a phased plan. Or browse off-the-shelf datasets in the catalog.

Ready to scope a pilot?

A senior Language PM will scope your project and respond within one business day.

Talk to a Language PM