
Ekai builds a verification-first semantic layer that gives enterprise data teams trustworthy business meaning.
ekai.aiCrawled Oct 10, 2026
How to verify and trace Ask Agent results
When the agent refuses and why that's a feature
ekai has completed its SOC 2 Type II audit with zero exceptions across every control tested, conducted by independent CPA firm Johanson Group.
ekai reads your Snowflake warehouse, learns how your team actually defines things, and writes the semantic models and dbt code for you. No YAML. Everything stays in your account.
Data protection and security architecture
Common issues and solutions for ekai platform
Ekai raises $1.7 million in a pre-seed round led by Misneach, with the stated aim of addressing enterprise AI’s “meaning gap” and “context rot.”
Sep 2026 · GlobeNewswireNews article
Ekai raises $1.7 million in pre-seed funding to build software that gives enterprise AI agents verified business context. Its platform captures business definitions from domain experts, converts them into machine-readable semantic models and transformation code, and checks generated logic against warehouse data before it ships. Misneach leads the round, with Cambridge AI venture fund and C10 Labs participating; Ekai uses the funding to advance product development, go-to-market operations and platform integrations.
Sep 2026 · SiliconAngleNews article
Ekai co-founders Mo Aidrus and Hussnain Ahmed are building efficient infrastructure for agentic data needs. Snowflake features the company in its Startup Spotlight.
Jan 2026 · snowflake.comNews article
Ekai is presented in connection with using agents for semantic modeling, an approach framed as redefining timescales for data engineering. The text introduces the topic with a reflection on humanity’s effort to understand reality.
Dec 2025 · MediumNews article