We are developing human-like AI voices that sound indistinguishable from real human voices, improving conversational interactions.

We automate the process of analyzing customer feedback, allowing companies to understand sentiments and make data-driven decisions.

We're building AI patterns to identify the 15 types of actions needed in the legal industry, such as case law research and clause extraction.

We convert open-ended conversations into quantitative insights and create charts highlighting the most interesting quotes.

The emergence of large language models has allowed us to create a conversational partner that we couldn't build before, enhancing the user experience.

The way Clio works is by processing real-world conversations with a language model to extract high-level summaries and group related answers, allowing us to understand user intent without reading raw conversations.

AI tools like Google and ChatGPT have improved our ability to discern truth by revealing algorithmic manipulations.

The AI facilitates deeper discussions to fully understand the user's thoughts and context.

We validate Clio's effectiveness by generating synthetic conversation data and checking if it can reconstruct known distributions of conversation topics without prior guidance, and Clio accurately reconstructs the ground truth distribution, which is one of the many ways we know it performs well.