AI Data Services

Ground-truth data
your model actually deserves.

From raw collection through annotation, enrichment and transcription — multimodal pipelines run by certified pods, audited by domain reviewers, delivered with full lineage.

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Trusted by
SOC 2 Type II
ISO 27001
HIPAA
GDPR
DPDP
150M+
Annotations delivered
22
Indic languages
40k+
Vetted contributors
97.2%
Avg. inter-annotator agreement
What's inside

Everything you need to ship production-grade data.

A single platform that covers the full lifecycle — from sourcing through evaluation and deployment.

Multimodal: image, video, audio, text, 3D point clouds, sensor
Tooling-agnostic — CVAT, Label Studio, Encord, or our hosted studio
ISO-certified secure delivery via S3 / GCS / Azure / on-prem
Two-pass + adjudicator review with gold-task calibration
PII redaction & differential-privacy aware pipelines
Native-speaker reviewers across 60+ languages
Programmatic QA with embeddings + active-learning sampling
Lineage tracking: every row tagged with annotator + version
Bring-your-own ontology or co-design a custom one
Sub-engines

Pick the workflow your team needs.

Data Collection

Sourced, consented, deduped multimodal data — from controlled studio captures to crowd-sourced field data.

  • Image, video, audio, text, sensor
  • Consent + chain-of-custody by default
  • 60+ countries, 22+ Indic languages

Annotation

Bounding boxes, polygons, keypoints, segmentation, OCR, medical — at production scale with two-pass review.

  • BBox, polygon, keypoint, mask
  • DICOM / medical specialists
  • Gold-task calibration loop

Content Enrichment

Metadata, taxonomy, sentiment, intent and entity tagging to make your data first-class for retrieval and ranking.

  • NER, taxonomy, intent, sentiment
  • Multi-label catalog enrichment
  • Search-relevance grading

NLP & Transcription

Native-speaker transcription, translation, summarisation, dialect tagging and conversational data.

  • Verbatim + semantic ASR
  • Dialect & code-switch tagging
  • Multilingual translation pairs
Industry outcomes

Real results, not demos.

Healthcare

DICOM annotation across 1.2M studies

0.96 IAA
Speech AI

ASR data in 11 Indic languages

WER ↓ 22%
Retail

Catalog enrichment + search relevance

+18% CTR
FAQ

Questions, answered.

How fast can a pilot start?

Most pilots launch within 5 business days from kickoff — including pod onboarding, gold-task calibration and a 1k-record dry run.

Which tools do you support?

We're tool-agnostic. We work in CVAT, Label Studio, Encord, V7, Scale Studio and our own hosted studio. We can also stand up a private deployment of any of the above.

How do you handle PII and regulated data?

Pods are vetted to ISO 27001 controls. We support on-prem delivery, region-locked workforces, DPA + BAA agreements, and built-in PII redaction with differential-privacy noise where required.

Can you provide native-speaker reviewers?

Yes — 22+ Indic languages plus 40+ global languages with native-speaker dialect calibration and code-switch tagging.

What's your quality methodology?

Every batch goes through two-pass annotation + a third adjudicator on disagreement, plus continuous gold-task calibration. We publish IAA and confusion matrices per batch.

Related engines

GenAI Training & Alignment

RLHF, SFT and human-preference data.

Evaluation, Trust & Safety

Model eval, red-teaming, bias detection.

Managed AI Operations

24×7 human-in-the-loop production.

Ready to build
AI you can trust?

Talk to a solutions architect — get a pilot scoped in 48 hours.

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