Clio: Local-First Real-Time Transcription
Secure enterprise workflows with ultra-low-latency speech-to-text, privacy guarantees, speaker diarization, and seamless integration. Zero data retention by default—empowering regulated industries to transcribe, analyze, and act on voice data without cloud risks.
Clio is a lightweight, local-first transcription service built for privacy-sensitive enterprises. Powered by FastAPI + WebSocket backend, it gates audio with voice-activity detection (VAD), streams partial and final transcripts using faster-whisper, and offers optional speaker diarization via PyAnnote. With zero data retention by default and <5% word error rate, Clio delivers enterprise-grade accuracy without cloud risks.
Process voice data on-premise or in your VPC with ~0.1 real-time factor for live streaming or batch transcription. Support for 100+ languages with extensible pipelines for custom vocabulary, accent adaptation, and domain-specific models. Clio integrates with AIOS for audited, versioned voice workflows while preserving data sovereignty for regulated industries—healthcare, financial services, legal, and government.
Key Benefits
- Ultra-low latency - ~0.1 real-time factor with <5% word error rate for live streaming
- 100+ languages supported with dialect recognition and accent adaptation
- Zero data retention by default - Local-first processing keeps voice data within your infrastructure
- Speaker diarization - Word-level attribution for multi-speaker conversations
- Compliance-ready - HIPAA, GDPR, PCI-DSS compliant with automatic PII redaction
Primary Use Cases
- Call center analytics - Real-time and batch transcription for customer service quality assurance
- Clinical documentation - HIPAA-compliant transcription of patient consultations and medical notes
- Legal discovery - Accurate transcription of depositions, hearings, and interviews with speaker diarization
- Research & analysis - Batch processing of interviews, focus groups, and academic research recordings
Real-Time Streaming Transcription
Ultra-low-latency speech-to-text with ~0.1 real-time factor and <5% word error rate. Clio uses faster-whisper optimized for enterprise vocabulary—industry jargon, product names, technical terms. Streams partial and final transcripts via WebSocket for live applications. Supports 100+ languages with dialect recognition.
Speaker Diarization
Attribute speech to individual speakers using PyAnnote-based diarization. Identify who said what with word-level timestamps in multi-speaker conversations. Essential for meetings, call centers, depositions, and interviews. Handles overlapping speech and speaker changes seamlessly.
Batch & Multi-Channel Processing
Process audio files offline or orchestrate multi-channel pipelines for large-scale transcription. S3 integration for automated batch workflows. Export in multiple formats (JSON, SRT, TXT) for downstream processing. Ideal for contact center analytics, legal discovery, and research.
Security & Compliance
Local-first deployment with zero data retention by default—process voice data on-premise or in your VPC, never send audio to third parties. Automatically redact PII from transcripts (credit cards, SSNs, health data). Generate audit logs for call recordings and transcript access. Meets HIPAA, PCI-DSS, GDPR, and CCPA requirements for voice data.
How Clio Works
When a user speaks to Clio (via phone, mobile app, or voice assistant), the audio is streamed to the Speech Recognition Engine, converted to text, and passed to the Conversation Manager. The Conversation Manager routes the intent to the appropriate AIOS agent, receives the agent's response, and sends it to the Text-to-Speech Engine for conversion back to audio.
Processing Pipeline:
- Audio Ingestion: Capture audio from phone lines, WebRTC, mobile apps, or voice assistants
- Speech-to-Text: Real-time ASR with streaming transcription (< 300ms latency)
- Intent Recognition: Classify user intent and extract entities (e.g., 'reset password' with username)
- Agent Routing: Send structured intent to the appropriate AIOS agent for processing
- Response Generation: Agent returns text response optimized for speech (concise, conversational)
- Text-to-Speech: Convert response to natural-sounding audio with appropriate emotion and pacing
- Audio Delivery: Stream audio back to user's device with < 500ms end-to-end latency
Integration Points
- AIOS Agents: Any agent in your AIOS deployment can be voice-enabled via Clio
- Telephony Providers: Twilio, AWS Connect, Five9, Genesys, SIP trunks
- Mobile & Web: React Native SDK, iOS/Android native SDKs, Web SDK (WebRTC)
- Voice Assistants: Alexa, Google Assistant, Siri via custom skills/actions
- Contact Center: Pre-built connectors for Salesforce Service Cloud, Zendesk Talk
- Analytics: Call analytics exported to Mixpanel, Amplitude, custom data warehouses
Technical Specifications
- Latency: < 300ms ASR, < 200ms TTS, < 500ms end-to-end response time
- Concurrency: 10,000+ simultaneous voice sessions per cluster
- Languages: 40+ languages including English, Spanish, Mandarin, Hindi, Arabic
- Audio Formats: PCMU, PCMA, Opus, MP3, WAV (8kHz - 48kHz)
- Protocols: WebRTC, SIP, PSTN, WebSocket for streaming audio
- Deployment: Cloud (managed), hybrid (on-premise ASR), fully self-hosted
- Accuracy: 95%+ word accuracy in quiet environments, 90%+ in noisy environments
- Voice Cloning: Custom voices from 30 minutes of sample audio
Insurance Claims Hotline
A national insurance carrier replaced their IVR menu tree with Clio-powered AI agents. Callers describe their claim in natural language, and Clio routes to specialized agents (auto, home, health). Average call time reduced from 8 minutes to 3 minutes. Customer satisfaction scores improved 35%. Handles 50,000 calls/day with 80% full automation rate.
Field Technician Assistant
A telecom company deployed Clio on mobile devices for field technicians. Technicians ask agents for equipment specs, troubleshooting steps, and inventory checks—all hands-free while working. Reduced time-to-resolution by 40% and eliminated paper checklists. Works offline with on-device ASR for areas with poor connectivity.
Clinical Documentation
A hospital system uses Clio for physician voice notes during patient exams. Doctors speak observations, diagnoses, and care plans; Clio generates structured EHR entries that comply with HIPAA. Automatic PII redaction for transcripts. Reduced documentation time from 2 hours/day to 20 minutes/day per physician.
Employee IT Helpdesk
A Fortune 500 company built a voice helpdesk for 10,000 employees. Employees call or use Alexa/Google Assistant to reset passwords, request equipment, check ticket status, or ask IT questions. Clio routes requests to specialized AIOS agents. Reduced helpdesk ticket volume by 60%, saving $2M annually in support costs.
Use Case: Customer calls to check order status
Customer (audio): 'Hi, I want to check on my order.'
Clio (transcription): 'Hi, I want to check on my order.'
Clio (intent): { intent: 'order_status', entities: [] }
Agent (routed to order-agent): Receives intent, asks for order number
Agent (response): 'I'd be happy to help you check your order status. Can you provide your order number?'
Clio (TTS, audio): [Natural voice] 'I'd be happy to help you check your order status. Can you provide your order number?'
Customer (audio): 'It's 1-2-3-4-5-6.'
Clio (transcription + slot filling): { intent: 'order_status', entities: { order_number: '123456' } }
Agent: Queries order database, retrieves status
Agent (response): 'Your order 123456 shipped yesterday and will arrive on January 18th. Would you like tracking details?'
Clio (TTS, audio): [Natural voice with positive tone] 'Your order 123456 shipped yesterday and will arrive on January 18th. Would you like tracking details?'
Throughout the conversation, Clio maintains context, handles interruptions (if customer speaks while agent is responding), detects sentiment (frustration if order is delayed), and generates natural-sounding speech.
Ready to Deploy Voice AI?
Transform your agents into natural conversation partners. Book a demo to hear Clio in action and discuss your voice use cases.