Parsed + Baseten: Building Models That Touch Grass

Parsed is joining Baseten to create a unified platform aimed at advancing AI development through continuous improvement from real production data, enabling faster iteration cycles and granting more control to engineering teams. This collaboration seeks to offer specialized, high-performance models that deliver reliable and context-aware solutions for specific tasks. While general-purpose models are suitable for broader applications, Parsed and Baseten emphasize the value of specialized models in specific industries like finance, legal, and medical fields, where precision and reliability are paramount. Baseten's robust infrastructure will support the deployment of these models, offering better performance and reliability at scale, while Parsed continues to focus on enhancing open-source models through careful evaluation and feedback design. The partnership aims to move away from reliance on large, monolithic models and instead promote a more democratized and efficient path for deploying and improving AI systems, ensuring that models not only learn from real-world data but also continuously evolve to better serve their intended tasks.