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Text annotation

Text annotation your model can learn from.

Indika AI runs managed text annotation programs for NLP and LLM teams: entities, classes, sentiment and expert review of regulated documents, with configurable QA so every label can be checked and traced.

Request a pilot →For NLP, LLM and data teams
60K+
Vetted annotators and domain experts
25+
Enterprise clients
10+
Industry verticals
1–2 wks
Typical pilot kickoff after SOW

What you get

Named entity recognition

Entity tagging to your schema, from people and organisations to drug names, clauses and amounts.

Classification, sentiment and intent

Document and sentence-level labels at volume, with gold sets to keep them consistent.

Expert document review

Clinical notes, contracts and financial documents reviewed by people with the right domain training.

Indian language text

Annotation and review in Indian languages alongside English.

Where teams use it

Healthcare
Clinical NLP: entities, negation and context in medical notes.
Legal and compliance
Clause extraction and contract review.
Financial services
KYC document review and entity extraction from filings.
Customer experience
Intent and sentiment labels for support and chat data.

How a program runs

  1. 01
    Agree the schema
    We work from your guidelines or help you draft them, with worked examples for edge cases.
  2. 02
    Match and vet the people
    Credential verification, structured interviews and task-based screening for your domain before anyone joins the program.
  3. 03
    Pilot on a gold set
    A scoped pilot scored against examples you trust, so quality is measured before scale.
  4. 04
    Scale with configurable QA
    Consensus, gold sets and spot audits, set to the risk of the task.
  5. 05
    Deliver into your pipeline
    Labels land in your tools or ours, or through our API, with QA reports.

Safe to hand your data to

What procurement and security teams ask us first.

  • ISO 27001 and ISO 9001 certified, SOC 2 Type II audited, GDPR compliant
  • Independently owned, with no competing house model
  • Your data is never used to train our own models
  • Mutual NDAs before any data or use-case details are shared

Frequently asked questions

Can you work inside our annotation tool?

Yes. We work inside your existing tooling or bring our own, whichever gets the program moving fastest.

How is label quality checked?

With configurable multi-layer QA: consensus, gold sets and spot audits, with agreement scoring built in.

Do you annotate Indian language text?

Yes. Indian language data is one of our services, alongside English.

How fast can a pilot start?

Scoped pilots typically kick off within 1–2 weeks of a signed SOW.

Further reading

Other services

Test us on your own data

Ask about a no-cost pilot: your data, your guidelines, your acceptance criteria. Our team responds within one business day.

Request a pilot →
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