At dbt Summit, I presented with Brad Levy, Director of Analytics at AlphaSense, one of our customers. Their results are the best evidence I have that context is the problem to solve first, and that you can start solving it now.

How much of what an organization knows about its data can be derived from the signals it already produces, and where does curation remain necessary?

Euno, the enterprise AI-native context platform, today announced $23 million in Series A funding led by N47, with participation from existing investors 10D and wider technology founders.

Euno, the enterprise AI-native context platform, today announced it has been named a Cool Vendor™ in the 2026 Gartner Coolest Vendor Innovations in Data Management.

Data governance survived on humans catching bad numbers. AI agents don't stop to ask.

A quick breakdown of why the semantic layer as we know it falls short for AI, and what to do differently.

Have Euno CEO Sarah Levy show you how teams use Euno to make AI work on top of core data platforms like Snowflake and Databricks.

How Euno automates the governance grunt work enterprises need to make Claude work reliably on core data.

As enterprises become AI-first, is a traditional data catalog still enough, or is it time for a platform that also provides trusted AI context?

The AI bills conversation is taking over enterprise boardrooms. Here's why context is the key to bringing those costs down.

Automatically alert when PII is exposed to unauthorized business users through reports, dashboards, or agents, then trace the source and scope of that exposure.

Euno’s unified context is now enriched with Omni’s intelligence, empowering agents to deliver accurate, fully explainable results.

The Context Platform is the foundation AI needs to function reliably in cluttered, siloed data environments by building a consistent understanding of data.

The true potential of AI is unlocked when it operates reliably on enterprise data, driving faster execution, lower costs, greater scale, and reduced risk.

Data lineage is now mission-critical infrastructure, providing the crucial context for trustworthy, explainable, and compliant AI systems that transform risk into confidence.

Replay our webinar with lessons from teams at Shopify, Astrodata, and Tableau customers, on how metadata context unlocks agentic analytics at enterprise scale.

Metadata-first architecture creates the context AI needs to deliver secure, reliable analytics at scale.

Big Data LDN’s panel “Governed Data Models: The Secret Sauce AI Can’t Live Without” featured leading minds discussing self-serve analytics and trustworthy AI at scale.

Metadata catalogs are transforming from passive documentation repositories into active, AI-context layers.

We asked dozens of data practitioners at dbt Labs’ Coalesce 25 to take our AI Reality Check survey. Check out the unexpected results!

Security and data governance are stronger together. Metadata intelligence makes it easy to declutter, reduce risk, and protect sensitive data without slowing innovation.