Dasha

Converts spoken audio into text with high accuracy, leveraging Dasha's proprietary speech recognition engine optimized for conversational context. Handles natural speech patterns, accents, and domain-specific terminology without relying on third-party STT APIs.

Generates lifelike spoken responses from text using Dasha's proprietary TTS engine, with natural intonation, pacing, and emotional tone. Produces conversational speech that sounds human rather than robotic.

Deploys custom voice agents to production with configuration for specific use cases like customer service, sales, or support. Handles agent lifecycle management, scaling, and monitoring.

Captures detailed conversation logs, transcripts, and analytics including call duration, success metrics, and conversation quality. Provides insights into agent performance and user interactions.

Enables text-based conversations with AI agents using the same conversation logic and LLM orchestration as voice agents. Allows deployment across multiple channels (SMS, chat, web).

Manages LLM interactions within a structured conversation flow, routing user inputs to language models and controlling response generation. Integrates speech-to-text, LLM inference, and text-to-speech into a seamless conversational loop.

Enforces conversation rules and business logic through DaScript to prevent hallucinations and keep agents on-topic. Allows developers to define conversation flows, validation rules, and fallback behaviors without relying solely on LLM guardrails.

Manages inbound and outbound phone calls with features like call transfer, hold, recording, and call routing. Integrates with telephony infrastructure to handle enterprise-grade call operations.

Delivers voice responses with minimal end-to-end latency, optimizing the speech-to-text, LLM, and text-to-speech pipeline for real-time conversation. Ensures natural conversational pacing without noticeable delays.

Processes sensitive healthcare information with HIPAA compliance built-in, including encrypted storage, secure transmission, and audit logging. Enables deployment in regulated healthcare environments.

Provides SOC2 Type II certified infrastructure for handling sensitive business data with security controls, access logging, and compliance monitoring. Ensures enterprise-grade security for customer data.

Provides a domain-specific language (DaScript) for designing conversation flows with explicit logic, state management, and business rule enforcement. Enables developers to define agent behavior without relying solely on LLM prompts.

Maintains conversation context across multiple turns, tracking user intent, conversation history, and state variables. Enables coherent multi-turn dialogues where the agent remembers previous exchanges.