Engineering equipment qualification
Engineering Intelligence for Critical Infrastructure.
Vereqta is developing AI-powered software to help engineering teams evaluate complex equipment, identify technical discrepancies, and make more informed procurement decisions.
The problem
Before a team buys a piece of critical equipment, an engineer has to prove it does what the project requires.
That means reading specifications and manufacturer datasheets side by side. Each manufacturer describes the same characteristics in different formats, and a rating only means something under the conditions it was measured. Finding the mismatches, and the answers that are missing, is slow manual work.
Planned workflow
From specification to a reviewable finding.
01
Project Requirements
Specifications define what the equipment must do.
02
Manufacturer Documentation
Datasheets state what it is rated to do.
03
Technical Extraction
Values and their conditions are identified.
04
Condition-Aware Verification
Ratings are compared only under matching conditions.
05
Evidence-Backed Findings
Each result points to its source.
06
Engineering Review
A qualified engineer decides.
This is the intended workflow. The software is in development, and the only part you can try today is the concept demo, which uses illustrative data.
Initial focus
Liquid cooling for AI data centers.
We are starting with coolant distribution units. Their requirements involve cooling capacity, flow, pressure, temperatures, electrical power, controls and redundancy, which all interact.
Where this could go