Waverly (Numeno): Instant AI Personalization, No Data

Waverly, built on Numeno's technology, flips traditional personalization on its head by removing the need for mountains of historical data. Instead of relying on data warehouses and lengthy training cycles, it uses large language models to interpret real-time user interactions and build dynamic models of behavior on the fly, letting products adapt instantly to each individual user. This makes it a versatile tool across industries: e-commerce brands can serve tailored product recommendations, content platforms can adjust feeds, game studios can shift gameplay based on player behavior, EdTech companies can craft custom learning paths, FinTech firms can personalize financial services, and marketers can align campaigns with live user behavior—all without the typical data infrastructure overhead. What sets Waverly apart is its simplicity: teams describe user activities in plain natural language, and the platform's AI engine handles the modeling and personalization logic behind a straightforward API, making sophisticated personalization accessible even to teams without dedicated data science resources.

1. Describe your users' in-app activities and behaviors using natural language. 2. Waverly's AI processes these descriptions and builds real-time models of user interactions. 3. Integrate the dead-simple API into your product. 4. The platform automatically personalizes experiences—recommendations, content, gameplay, learning paths, or campaigns—based on each user's evolving behavior.