Industry-leading Speech AI models for transcribing speech to text and extracting insights from voice data.
Features
- Universal-3 Pro Streaming — Industry-leading real-time speech-to-text model with advanced capabilities including context-aware prompting, disfluency control (capturing fillers, repetitions, restarts, stutters), code-switching between languages, real-time speaker diarization, and support for 99+ languages. Ideal for live voice applications requiring high accuracy and nuanced transcription.
- Speech Understanding Suite — Comprehensive audio intelligence models that go beyond basic transcription to extract deep insights from voice data. Includes advanced speaker diarization, automatic formatting of text and alphanumerics, multilingual language detection, sentiment analysis, chapter detection, and PII redaction capabilities for thorough voice data analysis.
- Voice Agent API — Purpose-built API for rapidly developing and deploying voice agents with ultra-low latency, high accuracy, and precise end-of-turn controls. Designed to be the fastest path to a working voice agent, enabling developers to build conversational AI experiences that feel natural and responsive.
- Context-Aware Prompting — Unique capability allowing users to customize transcription output through specialized prompts. Supports keyterms prompting for proper noun accuracy, speaker role labeling (e.g., Nurse, Patient), clinical evaluation formatting, and domain-specific terminology—ensuring transcripts match exact use case requirements.
- Enterprise-Grade Scalability — Production-ready infrastructure processing over 40 terabytes of audio daily with 600M+ inference calls and 840M+ API calls monthly. Offers self-hosted deployment options, cloud scalability to millions of hours, pay-per-use pricing without contracts or throttles, and enterprise security compliance.
- LLM Gateway & Guardrails — Integrated gateway for connecting speech AI outputs directly to large language models, enabling seamless voice-to-insight pipelines. Built-in guardrails ensure safe, compliant AI interactions, making it easier to build end-to-end voice AI applications with responsible AI practices.
Use Cases
Conversation Intelligence for Sales & Support
Transform customer conversations into actionable insights by automatically transcribing calls, identifying speakers and their roles, detecting sentiment, and extracting key topics. Enables teams to analyze conversation patterns, coach representatives, and improve customer outcomes with data-driven decisions. Target Audience: Sales teams, customer support managers, contact center operations, and revenue intelligence platforms
Medical Transcription & Clinical Documentation
Accurately capture clinical evaluations with specialized prompting that preserves medication names, dosages, medical terminology, and meaningful disfluencies. Supports HIPAA-compliant workflows with precise transcription of patient-provider interactions, reducing documentation burden on healthcare professionals. Target Audience: Healthcare providers, medical transcription services, EHR/EMR platforms, and telehealth companies
AI-Powered Meeting Notetakers
Build intelligent meeting assistants that provide real-time transcription with speaker identification, automatic summarization, and action item extraction. Supports code-switching for multilingual meetings and context-aware prompting for industry-specific terminology. Target Audience: Productivity software companies, enterprise collaboration platforms, and remote work tool developers
Voice Agent Development
Create sophisticated voice agents and conversational AI applications using the Voice Agent API with ultra-low latency streaming, natural end-of-turn detection, and guardrails for safe interactions. Enables rapid prototyping and production deployment of voice-enabled experiences. Target Audience: AI startups, enterprise developers building voice interfaces, and customer experience automation teams
Pros
- Industry-leading accuracy with the lowest Word Error Rate (WER) and up to 30% fewer hallucinations than competitors, validated by 73% end-user preference in unbiased evaluations
- Unmatched real-time capabilities including context-aware prompting, disfluency capture, code-switching between 99+ languages, and speaker role identification—features rarely available elsewhere
- Proven enterprise scale processing 40+ terabytes of audio daily with 840M+ API calls monthly, trusted by Fortune 500 companies and top Voice AI startups including Zoom
- Developer-friendly platform with comprehensive documentation, cookbooks, no-code playground, and flexible pay-per-use pricing that scales without contracts or throttles
- Complete voice AI ecosystem combining speech-to-text, speech understanding, LLM gateway, and guardrails in a single platform—reducing integration complexity
Cons
- Premium features and enterprise-grade capabilities may come at higher price points compared to basic transcription APIs, potentially limiting accessibility for small projects or individual developers
- Advanced features like context-aware prompting, disfluency control, and speaker role labeling require technical implementation knowledge and careful prompt engineering to maximize effectiveness
- Real-time streaming capabilities require stable internet connectivity and may introduce latency in low-bandwidth environments, affecting time-sensitive applications
- Self-hosted deployment options, while offering data control, require significant infrastructure investment and technical expertise to maintain and scale properly
