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ekai customers take governed AI data products from an idea to production in hours, not months. Every figure on this page comes from the customer.
Book a demo"Less than 1% of the expected cost and 5% of the anticipated time."Allen Chen, Product Lead, Secunetics
"It's just mind-blowing how much time and money it saves. If you are regularly building complex dbt projects, you've got to give ekai a try."
Read Allen's full story
To test ekai on a real production workload, we took a 10-page spec involving 9 disparate cybersecurity data sources in mixed formats (JSON, text and CSV) and set out to build threat-profiling data marts.
In the past, hand-crafting a dbt pipeline of this complexity took us 96 hours across a data engineer and two SMEs over several months, costing $26,400.
Then we tried ekai. Its AI intake instantly mapped our schemas and relationships. Then, its chat-based semantic interface guided our SME interviews to systematically build out the transformation logic.
The result was a well-structured, fully documented dbt pipeline built in just 6 hours for only $56!
ezCater was ekai's first design partner.
ezCater, the Boston workplace catering platform, which Uber agreed to acquire in October 2026, was the first company to work with ekai as a design partner.
How did Secunetics build a production dbt pipeline in 6 hours?
A 10-page spec and nine cybersecurity data sources in JSON, plain text and CSV, turned into threat-profiling data marts.
- 01Mapped the schemas
ekai mapped the schemas and relationships across all nine sources.
- 02Guided the expert interviews
Its chat-based interface guided the subject matter experts through the transformation logic.
- 03Built the logic
The transformation logic was built out systematically from their answers.
- 04Delivered the pipeline
A well-structured, fully documented dbt pipeline.
What did ekai change for Secunetics?
The same kind of dbt pipeline, built by hand before and with ekai this time.
Time to a production dbt pipeline
Cost of the pipeline
- By hand
- 96+ hours across a data engineer and two subject matter experts, over several months, for about $26,400.
- With ekai
- 6 hours for $56, a well-structured, fully documented dbt pipeline.
"With ekai, the work came in at less than 1% of the expected cost and 5% of the anticipated time."Allen Chen, Product Lead, Secunetics
Source: Allen Chen, Product Lead at Secunetics, in his video testimonial on this page.
Common questions
Last updated October 28, 2026
How fast can ekai build a semantic model?
In hours, not months. A full discovery and semantics run on one domain takes about 4 to 6 hours. Secunetics built its production dbt pipeline with ekai in 6 hours. By hand, a similar pipeline had taken them well over 96 hours.
How much can my company save using ekai to build a semantic model?
Secunetics built its pipeline with ekai for $56. Building a similar dbt pipeline by hand had cost them about $26,400. In Allen Chen's words, that was less than 1% of the expected cost and 5% of the anticipated time. Your savings depend on how many domains you model.
Where do these customer results come from?
From the customers themselves, in their own words. The Secunetics figures are from Allen Chen's recorded testimonial.
Does ekai replace data engineers?
No. ekai automates the manual data and context engineering, and your data engineers review and approve the generated models, code and tests before anything ships.