Typedef Inc., turning AI prototypes into scalable, production-ready workloads that generate immediate business value, has come out of stealth mode with $5.5 million in seed funding. With a new purpose-built AI data infrastructure for modern workloads, Typedef is helping AI and data teams overcome the well-documented epidemic affecting the bulk of enterprise AI projects – failure to scale. The solution is built from the ground up with features to build, deploy, and scale production-ready AI workflows – deterministic workloads on top of non-deterministic LLMs. Typedef makes it easy to run scalable LLM-powered pipelines for semantic analysis with minimal operational overhead. The developer-friendly solution manages all the complex properties of mixed AI workloads like token limits, context windows, and chunking through a clean, composable interface with the APIs and relational models engineers recognize. Typedef allows for rapid, iterative prompt and pipeline experimentation to quickly determine production-ready workloads that will demonstrate value – then realize that potential at scale. Typedef is completely serverless bypassing any infrastructure provisioning or configuration. Users simply download the open-source client library, connect their data sources and start building their AI or agentic pipelines with just a few lines of code. No complex setup, no infrastructure to provision, no brittle custom integrations to troubleshoot.