People whose languages & contexts AI systematically leaves behind.
Data intelligence
AI is only as good as its data.
Model-ready data across speech and text, with vision and physical AI on the way.
Built for
Frontier labs·Enterprises building custom AI·Sovereign AI·
Frontier labs·Enterprises building custom AI·Sovereign AI·
Frontier labs·Enterprises building custom AI·Sovereign AI·
The gap
Most of the world's training data doesn't exist yet.
The data models need doesn't exist in most of the world's languages. We build it.
Of the world's AI training data represents non-English speakers.
Modalities carrying the same shortfall: speech, text, vision and physical data. Every new model renews the demand.
Speech · Text / SLM
One platform. Built for every modality.
Speech
ASR & TTS, accents, dialects, code-mixing.
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Text or SLM
Instruction & preference data, reasoning traces, evals.
Also expanding into
Vision
Physical AI
Platform capabilities
- Annotation tooling
- Automated QA
- Model-readiness certification
- Consent & compliance management
How it comes together
Three things, working as one.
Sourcing, technology and community, working as one system.
Sourcing strategy
A clear sourcing strategy, filtration before ingestion and DPDP-compliant consent from day one.
Platform
25+ built-in checks: auto-dedup, WER tracking, quality automation at every step.
Community
Vetted native experts in a structured contributor, reviewer and QA workflow.
Together, compounding. That's the moat, and it's next.
The platform
Every task makes the next one better.
It doesn't stop at submission. Every batch feeds a closed loop of coaching and improvement.
One example · an ASR annotation task
- Assign Route to native experts
- Annotate Expert transcription & edits
- Review Structured QA pass
- Score WER / CER + audit trail
- Improve Targeted coaching
- Repeat Feeds the next batch
Production workflow
Ingestion, assignment, editing, review, rework and export in one pipeline.
Quality infrastructure
Segment-level WER/CER, audit trails, PII detection and audio masking.
Workforce intelligence
Individual scorecards, quality trends and coachable-behavior flags.
Continuous improvement
Coaching for annotators, evidence for managers, insight for product teams.
Proven in production
Segments Processed
Audio Files
Active Users
Quality-scored Version Pairs
The moat no one else can build.
Sourcing that's actually consented
Day-one consent and full provenance, DPDP-compliant and stored in India.
Quality, engineered not inspected
A tech-first pipeline and per-batch certification hold a bar others check for later.
Experts, not crowds
Native speakers vetted for dialect and nuance.
Where demand is heading
HealthcareLegalFinanceRoboticsSovereign AI
HealthcareLegalFinanceRoboticsSovereign AI
HealthcareLegalFinanceRoboticsSovereign AI
+ any vertical that needs data it can trust
A glimpse of the numbers
The proof is in the numbers.
9.4% word error rate on a blind test, about half the next-best commercial engine. That's one slice. Talk to us for the rest.
The team
Pioneers in Indian-language AI, before it had a name.
Built for India, in India, for Indians, by the team behind Reverie Language Technologies, later acquired by Jio. One co-founder has spent 30 years building Indian-language computing.
0+
Years, combined, in this field alone
Reverie → Acquired by Jio
Experts in Speech & Text AI
Pioneers in Language computing