Episode 186: Unlocking Your Unstructured Data for Agents Using Typedef

In our latest episode, our co-hosts Robby and Tim talk with Yoni Michael and Kostas Pardalis, Co-Founders of Typedef. Both have deep backgrounds in data infrastructure (Starburst, Tecton, etc.) and, after meeting through a "blind date" at Blue Bottle Coffee, decided to team up to address the growing brittleness of large-scale data pipelines - issues made worse by the rise of AI.

They explain how traditional systems like Spark weren’t designed for today’s AI workloads, especially unstructured data and LLM inference. Fenic was their answer: an open-source engine and DataFrame library built specifically for LLM workflows, multi-step reasoning, and agentic systems - without the operational complexity.

Their biggest lessons: start GTM early, talk to as many data leaders as possible, and keep validating - insights that led directly to open-sourcing Fenic and building its MCP-powered developer experience.

Full episode here