Omnimodal Intelligence: Beyond Multimodal for AI-Powered Discovery

TileDB Carrara addresses the challenge of making diverse data AI-ready by introducing omnimodal intelligence, enabling the governance, structuring, and analysis of various data types within a single system. Traditionally, data is siloed, governance is inconsistent, and complex data like genomics is difficult to process, hindering AI utilization. Carrara treats all data and code as first-class modalities, allowing teams to query and analyze assets on a unified platform powered by TileDB's multidimensional array engine, which provides the speed and scalability needed for intensive research. This approach is particularly transformative for life sciences, as it facilitates cohort-scale analytics, reproducible workflows, and infrastructure cost reduction by integrating complex data and AI-ready pipelines. Carrara's four pillars—organize, structure, collaborate, and analyze—enhance data management and collaboration, promoting FAIR data principles. The FAIR Readiness Scorecard helps organizations evaluate their data maturity to further advance AI infrastructure.