Safety calibrated for Indian socio-cultural context — not just Western taxonomies.
PII filtering, harmful-content taxonomies and culturally-aware safety pipelines — calibrated for Indian context.
Harmful-content taxonomies, PII filtering and safety labeling that understand caste, communal, regional and code-mixed harms Western guardrails miss entirely.
- Modalities
- Text, Audio, Image
- Languages
- 22 Indic + 50 global
- Quality bar
- IAA ≥ 0.85 · two-pass QA
- Onboarding
- NDA → SOW in 14 days
Safety systems trained on Western taxonomies are blind to the harms that matter most in India: caste slurs, communal dog-whistles, regional abuse and code-mixed toxicity that evade English-only classifiers.
Getting this wrong is a reputational and regulatory risk — and a generic moderation vendor simply doesn't have the cultural fluency to build the taxonomy or label the edge cases.
Culturally-grounded safety taxonomies, PII-filtering pipelines and labeled safety data built by native speakers — so your guardrails catch the harms your users actually encounter, with documented coverage.
Where teams put this to work
-
Trust & Safety
Culturally-grounded harm taxonomies
Taxonomies covering caste, communal, regional and code-mixed harms, reviewed by native speakers.
-
BFSI / Healthcare
PII detection & de-identification
DPDP-aligned PII detection and redaction pipelines for documents, speech and chat data.
A pipeline built for SLAs
-
1
Guidelines
Co-write annotation guidelines with the client team and pilot reviewers.
Calibrated rubric
-
2
Pilot
Run a 500-unit pilot to validate guidelines and tooling.
IAA ≥ 0.80
-
3
Production
Scale to full volume with daily QA sampling and weekly calibration.
IAA ≥ 0.85
-
4
Delivery
Versioned drops with audit logs, kappa reports, and dataset cards.
Audit-ready
Quality gates
- Culturally-grounded harm taxonomy reviewed by native speakers
- Two-pass QA with adjudication on sensitive categories
- PII detection and de-identification SOPs (DPDP-aligned)
- Coverage reporting across harm categories and languages
At a glance
What does Content Moderation & Safety cover?
The technical spec for this service — modalities, language coverage, deliverable formats and the QA stages every batch passes through.
| Specification | Detail |
|---|---|
| Modalities | Text, Audio, Image |
| Languages / coverage | 22 Indic + 50 global |
| Deliverable formats | Labelled safety data, harm taxonomy, PII-redaction outputs + coverage report |
| QA stages | Taxonomy review → two-pass labelling on sensitive categories → adjudication → coverage reporting |
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
Content Moderation & Safety — 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.
Where this applies
Ready to scope a pilot?
A senior Language PM will scope your project and respond within one business day.
Talk to a Language PM