Product Manager

AI applications have outgrown the data infrastructure built for yesterday. Today's complex workloads demand more than traditional data lakes or vector databases - they need a foundation built for multimodal AI at scale. LanceDB exists to solve this fundamental gap, creating a unified platform that can handle embeddings, documents, images, and video all in one place, enabling teams to build AI applications faster, cheaper, and with dramatically reduced infrastructure complexity.

By 2025, an estimated 156 zettabytes of data will be video - representing 90% of all data generated. The Multimodal Lakehouse combines the best of data lakes and vector databases into a single platform optimized for AI workloads, eliminating the need for multiple disparate systems. Leading AI companies like Runway, Midjourney, and Character.ai rely on LanceDB to search over tens of billions of vectors and manage petabytes of training data, proving that the future of AI infrastructure must be built to handle the richness, scale, and velocity of multimodal data.