Ekai Raises $1.7M for AI Business Context Verification

Boston-based startup Ekai has secured $1.7 million in pre-seed funding to build verified business context for enterprise AI agents. The platform uses a forward-engineering approach, capturing metric definitions from domain experts before converting them into machine-readable logic, cutting semantic modeling work from months to hours. Unlike competitors that reverse-engineer meaning from existing BI tools, Ekai verifies definitions against warehouse data before deployment. Led by Misneach, the round also drew Cambridge AI venture fund and C10 Labs. The platform supports Snowflake, Databricks, BigQuery, Amazon Redshift, and several other data platforms.