Features
Channel-separated natural two-speaker conversations (Converse dataset)
Multilingual dataset spanning 15+ languages with dialect/accent metadata (Atlas)
Multi-speaker conversations for speaker separation and diarization (Chorus)
Expert domain-specific conversations (Dialog dataset)
Rigorous six-step dataset development process (Hypothesize to Release)
Custom dataset design in partnership with research teams
High-quality audio data for speech-to-speech systems
Data suitable for training transcription, translation, and synthesis models
Continuous dataset improvement after publication
Rapid access: off-the-shelf datasets available within one to two days
Sample requests to evaluate before purchase
Data license agreements tailored to use case
Funding: $50M Series B in Oct 2025, $25M Series A in May 2025
Personalized voice training with 50 phrase cards
Real-time speech-to-text via web app
Chrome extension for dictation in web forms
Webex integration with AI captioning
Microsoft Teams integration with live captions (add-on)
Zoom integration with live captions (add-on)
Amazon Alexa integration for smart home control
Proprietary database of atypical speech patterns
Continuous learning as user speaks
Stand-alone web app (no install required)
Mobile app for Alexa integration
API for custom integrations (contact sales)
