At its NYC Summit, ElevenLabs introduced tools for fine-tuning AI models, domain-specific solutions, and its new Interaction Engine for conversational AI.

At its New York Summit on November 11, 2026, ElevenLabs unveiled a series of advancements aimed at redefining how businesses interact with customers and employees through artificial intelligence. The company introduced new models, tools, and deployment options designed to make AI interactions more natural, intuitive, and tailored to specific industries and businesses.

ElevenLabs announced updates to its conversational AI models, emphasizing their ability to adapt to specific industries and use cases. CEO Mati Staniszewski highlighted the importance of domain-specific solutions, stating, “Our mission at ElevenLabs is to solve human-technology interaction, and for the first time, it’s solvable.”

The company showcased its domain-specific Speech-to-Text models, such as Scribe v3 Medical, which is optimized for healthcare terminology. This model can accurately distinguish between complex terms like "cycloserine" and "cyclosporine," reducing errors in critical contexts. ElevenLabs also revealed plans to develop a financial services model and announced that businesses will soon be able to fine-tune open-source language models and ElevenLabs' voice models using their own data. This customization will allow companies to optimize for specific metrics, such as customer satisfaction scores, and create reinforcement-learning stacks tailored to their unique needs.

One of the key announcements was the preview of the Interaction Engine, a system designed to orchestrate conversations by managing turn-taking, interruptions, and the selection of appropriate language models. The engine can assign simpler tasks to cost-effective models while reserving more complex interactions for advanced frontier models.

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