Grassroots diversity
Collected from real speakers across states, socioeconomic tiers, and dialect regions — exactly where your product will be used.
Voice AI Infrastructure · India
Research-grade datasets and evaluations for the world's top AI labs and technology companies — built on the real languages, accents, and conversations of India.
Built for the teams advancing speech & conversational AI
Mission
Josh Talks enables AI labs and enterprise teams to train, evaluate, and scale voice technologies that truly understand India's linguistic diversity. We collect, curate, and deliver research-grade conversational and multi-speaker voice datasets across Indian languages, accents, and real contexts — with rigorous quality, compliance, and traceability.
Why teams trust us
Collected from real speakers across states, socioeconomic tiers, and dialect regions — exactly where your product will be used.
Five-level, human-in-the-loop annotation with automated anomaly detection keeps label error rates exceptionally low.
Consent workflows that meet global standards, automated PII redaction, and contributor revenue-share models.
Air-gapped labs, ISO 27001–aligned cloud practices, and full per-file audit trails for compliance teams.
Production at scale
Our patented data-production and annotation pipeline lets us generate and label 10 million hours of voice data every year — channel-separated conversational audio sourced from the grassroots of India, through Josh Talks' network of Training Data Specialists.
English, Hindi, Tamil, Marathi, Telugu, Bengali, Kannada, Malayalam, Punjabi, Odia, Gujarati, Assamese
Featured · ASR
Large-scale, multi-topic, natural dialogues in Indian languages — built for training Automatic Speech Recognition (ASR) models. Each dataset captures real conversational patterns, diverse accents, and natural speech variability to improve model robustness and generalization.
Explore datasets →The Josh Talks AI ecosystem
Channel-separated conversational datasets across 12+ Indian languages, built for training robust automatic speech recognition.
Explore datasets → EvaluationBlind, human-rated evaluations comparing production text-to-speech models across Indian languages.
View evaluations → BenchmarkA national benchmark for ASR evaluation across Indian languages and real-world conditions.
See the benchmark → Research · ModelAn open, full-duplex conversational model for Hindi — it listens and speaks at once, with natural turn-taking and interruptions.
Try the model → ResearchPapers, benchmarks, and findings on speech and conversational AI for Indian languages.
Read research →Partner with us
Work with Josh Talks AI to train, evaluate, and scale voice models on the real languages and conversations of India.