Building data-intensive UIs that can handle agent scale with Materialize

In this webinar, Sam Spelsberg, CTO and co-founder of Delphi and Nate Stewart, CEO of Materialize, explore the intersection of AI, data infrastructure, and user experience. Delphi allows creators to build scalable, digital representations of their minds, enabling one-to-one interactions at scale. Sam shares challenges Delphi faced, particularly with performance bottlenecks due to complex queries overwhelming their infrastructure, and how implementing Materialize drastically improved their system. Sam describes how integrating Materialize reduced Delphi's critical dashboard load times from over two minutes to under one second, improved user experience significantly, increased weekly active users by 25%, and enhanced overall product responsiveness. Materialize's incremental computation capabilities enabled Delphi to handle intensive data processing tasks efficiently without the extensive resources typically required for building complex data pipelines. The webinar further discusses how Materialize's real-time, incremental SQL-based views allowed Delphi to achieve a seamless integration with minimal engineering effort, even enabling an intern to handle the initial setup. Nate highlights various practical integration patterns for Materialize, emphasizing how companies can effortlessly manage complex, real-time data queries. Looking forward, Delphi plans to leverage Materialize further to enhance its AI-driven user interactions, maintaining performance at scale. The session concludes with insights into Delphi's future roadmap and growth ambitions, along with a practical discussion on operationalizing Materialize in modern development workflows. This session underscores the strategic advantage of using real-time data platforms like Materialize to deliver exceptional, scalable user experiences in the AI era.