Build Faster, Work Smarter with AI Agents and Apps Grounded in Data

Only 11% of organizations have agents in production despite 38% piloting them, according to Deloitte's 2026 Tech Trends report. We see this gap between pilots and production deployments happening across industries and companies of all sizes: Teams build a compelling demo and deploy it against real data, only to have it confidently return the wrong revenue number or miss a policy constraint that a junior analyst would have caught. The problem is a lack of context. Agents need to know which metric definition is authoritative, which data is current, what permissions each user holds and what happened in the last conversation. Without that grounding, even the most capable model operates on guesswork. And even when agents get the answer right, it can be difficult to share those insights with the rest of the business. Ground: Connect agents to your governed data, metrics and business logic so they answer questions from authoritative definitions, not guesswork. Ground: Connect agents to your governed data, metrics and business logic so they answer questions from authoritative definitions, not guesswork. Act: Allow agents to execute real work following each user's own permissions, in the tools teams already use, with clear auditability. Quickly and securely ship Snowflake…