Ekai Inc. has secured $1.7 million in a pre-seed funding round led by the Boston-based firm Misneach. The round also included participation from the Cambridge-based venture fund and studio C10 Labs. The startup plans to utilize the capital to accelerate product development, expand go-to-market operations, and enhance its platform integrations.
The company offers a platform designed to provide AI agents with verified business context by creating semantic models and data transformation code. Ekai employs a forward-engineering approach where domain experts define business metrics and terms. These definitions are then converted into machine-readable logic and validation rules, ensuring that all generated output is verified against existing warehouse data.
According to the company, this methodology significantly reduces the time required for semantic modeling, shortening processes that previously took three to six months to as little as six hours. The founders, Moatassim Aidrus, Hussnain Ahmed, and Tero Miikki, bring over two decades of leadership experience from companies including Accenture, Microsoft, and UPM-Kymmene.
Ekai’s platform is currently available on the Snowflake Marketplace and supports integrations with several major data environments. Supported systems include Databricks, Google BigQuery, Amazon Redshift, Microsoft Azure Synapse, Postgres, ClickHouse, and DuckDB.
