Enterprise Voice AI platform for Speech-to-Text, Text-to-Speech, and Voice Agents
An information board for working with your agent
Stage
Established
Not given
Founded
2015
Not given
Based in
US
Not given
Pricing model
Freemium
Paid
Pricing
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/
Not given
Key features
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
MCP connections to compatible AI agents
Real-time review and accept/reject agent edits
Automatic layout modes and infinite canvas navigation
Local data storage on device
Markdown support in descriptions
Change tracking and recovery
What makes it different
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
No built-in AI needed - connect your own agents via MCP with no additional cost
Local-first design - all board data stays on your device
Shared context beyond conversation - the board becomes the reference point for ongoing collaboration
Full control over agent changes with real-time review