Omnimodal Intelligence: Beyond Multimodal for AI-Powered Discovery

Click here to watch the full Tech Talk

AI is only as powerful as the data foundation beneath it. Most stacks handle tables well, but the real challenge comes with everything else: genomic files, imaging data, notebooks and models scattered across silos.

TileDB Carrara solves this by introducing omnimodal data intelligence: a new way to govern, structure, and analyze all your data types in one system.

The problem: Data that AI can’t see or use

Enterprises struggle to make their data truly AI-ready because:

• Data lives in silos across warehouses, cloud buckets and portals.

• Governance is inconsistent or missing entirely.

• Complex data like genomics or imaging is slow and costly to process.

• Workflows, notebooks, and results aren’t reproducible or connected.

Carrara closes these gaps by treating every data and code type as a governed, searchable and high-performance modality.

The solution: omnimodal intelligence

Instead of separating tables from files or with labels like “structured” and “unstructured,” Carrara makes everything a first-class modality: tables, files, arrays, models, code and agents. This means teams can finally discover, query and analyze all assets in one governed platform.

Powered by TileDB’s multidimensional array engine, Carrara delivers the speed and scalability needed for data-intensive research while keeping compute close to the data.

The four pillars of Carrara (OSCA)

1. 1

   Organize – Unified catalog and file system with rich metadata and previews

2. 2

   Structure – Array-backed formats for complex data (VCF, SOMA, imaging)

3. 3

   Collaborate – TeamSpaces for secure, policy-based sharing

4. 4

   Analyze – Built-in notebooks, workflows, and federated queries

Why it matters for life sciences

Carrara is already transforming workflows in genomics, single-cell, and imaging research by enabling:

• Cohort-scale analytics without moving data

• FAIR and compliant collaboration across teams and institutions

• AI-ready pipelines that can integrate models, embeddings, and agents directly into analysis

The result: faster discoveries, reproducible science and reduced infrastructure cost.

Assess your FAIR readiness score

Building AI-ready infrastructure starts with understanding where you are today.

Use the FAIR Readiness Scorecard below to evaluate your data maturity and map out resources to help make your data more Findable, Accessible, Interoperable and Reusable.

Download the FAIR Readiness quiz here.