Enterprise Voice AI platform for Speech-to-Text, Text-to-Speech, and Voice Agents
Stage
Not given
Established
Founded
Not given
2015
Based in
SE
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
Search for web pages, images, and news
Crawl pages into Markdown, HTML, links, and screenshots
Map discovery using website sitemaps
Extract structured JSON from pages
Index with scheduled refreshes and retrieval
TypeScript and Python SDKs
Model Context Protocol (MCP) integration
REST API for all capabilities
CLI for terminal and script access
Private GitHub repository indexing
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
Maintains indexed knowledge with automatic scheduled refreshes
Provides source references for verifiable answers
Supports both public and private knowledge sources
Handles infrastructure for data pipelines
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