Enterprise Voice AI platform for Speech-to-Text, Text-to-Speech, and Voice Agents
Stage
MVP
Established
Founded
Not given
2015
Based in
Not given
US
Pricing model
Not given
Freemium
Pricing
Not given
Flux STT Streaming: $0.0065/min (Pay As You Go), $0.0057/min (Growth); Flux Multilingual Streaming: $0.0078/min (Pay As You Go), $0.0068/min (Growth); Nova-3 Monolingual Streaming: $0.0048/min (Pay As You Go), $0.0042/min (Growth); Nova-3 Multilingual Streaming: $0.0058/min (Pay As You Go), $0.0050/
Key features
Find files across Finder, Gmail, Slack, and Google Calendar
Send emails and schedule meetings with voice commands
Review actions before execution or enable auto-execute
Handle multi-step workflows with a single voice request
Works across 20+ apps including Slack, Gmail, Cursor, and Notion
Automatic grammar correction and filler word removal
Flux STT with turn detection and interruption handling
Nova-3 multilingual speech recognition in 50+ languages
Ultra-low latency under 300 milliseconds
Keyterm prompting with up to 90% higher keyword recall
Flux TTS with latency as low as 80ms
Speaker diarization and multi-speaker audio detection
Smart formatting with automatic punctuation and capitalization
Automatic redaction of sensitive information
Custom models for edge-case scenarios
Flexible deployment options: cloud, in-VPC, or self-hosted
What makes it different
Turn voice into action across multiple apps without switching
Execute multi-step workflows with a single voice command
User maintains full control with review-before-running option
Integrates seamlessly with existing productivity tools and workflows
Conversation-aware speech platform with native turn-taking detection and interruption handling
Unified single API combining STT, TTS, and LLM orchestration to reduce complexity and latency
Flux TTS that thinks before speaking to maintain tone and expression across conversations
Enterprise-grade accuracy with custom vocabulary injection and industry-tuned models
Foundational AI company with research-driven innovation and continuous model improvements