Infrastructure
for Voice AI in India
Research Grade Datasets and Evaluations for top AI Labs and Tech companies across the world
Infrastructure
for Voice AI in India
Research Grade Datasets and Evaluations for top AI Labs and Tech companies across the world
Making Machines Talk like Humans
Josh Talks builds the voice infrastructure that helps AI truly understand India. We create large-scale, real-world conversational datasets and rigorous evaluations across Indian languages, accents, and contexts.
As an independent research partner, Josh Talks helps frontier labs build voice systems that sound natural, inclusive, and reliable for the people they serve.
Why choose Josh Talks?
Grass-roots Diversity
Voices, faces, documents and street scenes from every state, age group and socioeconomic tier—captured exactly where AI products are used.
Measurable Quality
Dual human-in-the-loop review + anomaly detection keeps mean label error < 2 % across all modalities.
Global Multilingual Coverage
17 languages of two-channel (speaker-separated) conversations, rigorously curated across tens of thousands of topics.
Ethical Sourcing
GDPR-ready consent flows, automated PII redaction in audio and imagery, plus community revenue-share for every contributor.
Enterprise-grade Security
Air-gapped annotation rooms, ISO-27001 cloud tenancy and per-file audit trails built for Big-Tech compliance teams.
Data Scarcity to Abundance
Our patented means of data production and annotation allows us to generate and label 10 Million Hours of voice data every year
Channel Separated Conversational Audio Datasets
Train your AI models using data from the grassroots of India through Josh Talks’ network of Training Data Specialists
Multi-lingual Datasets
Multilingual and code-switching Voice Datasets
Low Resource, Rare Language and Dialect Voice Datasets
Accented English Speech Dataset
Voice Datasets in - English, Hindi, Tamil, Marathi, Telugu, Bangla, Kannada, Malayalam, Punjabi, Oriya, Gujarati, Assamese
Multi-Speaker Datasets
Multiple Speaker spontaneous conversations
Diarized speaker stems for up to 16 speakers
Multi-Speaker debate datasets
Emotion Rich Data
Emotionally Aware and Annotated Conversations
Datasets covering 9 emotions - Neutral, Angry, Happy, Sad, Fear, Anxious, Surprised, Confused, Excited
Other Datasets
Noisy and Adverse Environment Datasets
Privacy Preserving Highly Personalized Voice Datasets
Voice Datasets for Accessibility
Child Speech Datasets
Two Channel Separated Conversational Audio
Voice Datasets in - English, Hindi, Tamil, Marathi, Telugu, Bangla, Kannada, Malayalam, Punjabi, Oriya, Gujarati, Assamese, Japanese, Korean, US English, Indonesian, Arabic and other languages.
Customers across our portfolio of products
