Ekai automates verified semantic modeling for data teams through expert-grounded warehouse models.
Ekai
Ekai builds a verification-first semantic layer that gives enterprise data teams trustworthy business meaning.
Operating headquarters
Cambridge, MA, USFounded
2024Enterprise AI projects stall because the meaning behind warehouse tables, from entities and keys to metrics and expert rules, is neither written down nor recoverable from schema or query history. Ekai closes that gap for enterprise data teams by profiling the warehouse in place, capturing definitions from the experts who hold them, and inferring entities, keys, and relationships with evidence. It then generates dbt models, tests, documentation, a glossary, metrics, and lineage, reconciling them inside the customer warehouse before publishing.
Unlike hand-authored dbt semantic layers and query-history mining, which infer meaning from what analysts happened to query, Ekai verifies its models against business facts experts state before publishing. It also avoids the months-long manual semantic-modeling engagements that leave the model stale on delivery, because the layer is generated and reconciled in place and stays warehouse-neutral and private, returning standard dbt, YAML, and JSON the customer owns.
Ekai - Products & Services
Ekai - Quick Facts
When was Ekai founded?
Ekai was founded in 2024.
Where is Ekai's headquarters located?
Ekai's headquarters is located in Cambridge, MA, US.
When was Ekai's last funding round?
Ekai's most recent funding round was for $1.7M (USD) in September 2026.
How much has Ekai raised to-date?
As of Sep 23, 2026, Ekai has raised a total of $1.7M (USD).
Ekai - Classification
- Industry
- Ownership
- Geographic Exposure
- Americas United States
- Model
- Revenue
- Customer