Cartesia is an AI company dedicated to building intelligent systems that learn and interact like humans. The company offers a full-stack platform for interactive intelligence, centered around high-performance, real-time voice models that are purpose-built for enterprise-grade voice agents. By leveraging frontier research in state space models (SSMs), Cartesia delivers extremely low-latency performance with high emotional range and naturalness, enabling seamless, synchronous interactions that feel indistinguishable from human conversation. The Cartesia suite includes Sonic for text-to-speech, Ink for speech-to-text, and Line for building voice agents.

Functionality includes providing developers with streaming APIs to integrate high-quality, ultra-low latency voice generation and transcription directly into their applications. The models are designed for demanding production environments where speed and accuracy are critical, handling complex requirements like code-switching, specialized pronunciation, and noisy background environments with ease. Developers can deploy these models across various infrastructures, including cloud APIs, on-premise setups, or directly on-device, ensuring compliance with data residency and latency requirements.

Some of the key features are:

• Sonic-3.5: A text-to-speech model offering sub-90ms latency and high speaker similarity for instant voice cloning in over 40 languages.
• Ink-2: A streaming speech-to-text model that features native turn detection and semantic endpointing, optimized for voice agents.
• Line Platform: A comprehensive framework for building enterprise-grade voice agents with built-in evaluation tools and flexible SDKs.
• Deployment Flexibility: Support for cloud, on-premise, and on-device deployment models to meet varying latency and compliance constraints.
• Native Multilingualism: Extensive language support including regional accents and variants to cater to a global audience.
• Customizable Pronunciation: Advanced tools for managing dictionaries to ensure accurate pronunciation of domain-specific terms and proper nouns.
• Enterprise Compliance: Robust security features including HIPAA, SOC 2 Type 2, GDPR, and PCI certifications.

Operation is centered around a developer-first experience where users access models via APIs or the Line SDK. Users can set up voice agents by defining LLM-based logic and system prompts, then connecting them to Cartesia's inference engine. The integration process is streamlined with rapid development loops that allow for iterative testing and performance tuning using built-in evaluation metrics. Whether operating in a VPI, on local hardware, or via regional cloud endpoints, the system is engineered to maintain low latency even under heavy concurrency.

Some common use cases include:

• Customer Service: Powering real-time, 24/7 automated voice support agents that handle inquiries, authentication, and issue resolution without hold times.
• Financial Services: Implementing secure outbound verification calls for fraud detection, loan assistance, and account management.
• Sales & Marketing: Automating lead nurturing by placing personalized calls, qualifying leads, and booking meetings directly into CRM systems.
• Healthcare Administration: Streamlining patient support and administrative tasks like scheduling and reminders in a secure, compliant manner.
• Training & Development: Creating realistic AI-driven prospect personas that enable sales representatives to practice handling objections in simulated live calls.