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Up to 50% of engineering time is spent on documentation, not engineering.
Engineers build the physical world: aircraft, medical devices, infrastructure, and energy systems.
Today, they are drowning in paperwork. Generic AI is not solving it.
The breakthrough in generative AI means this can finally be solved, but not with generic AI alone. Regulated engineering requires a dedicated platform built for accuracy, compliance, traceability, and control.
That is why we built EVA: to combine AI with structure, validation, and governance from the ground up so teams can produce trusted, audit-ready outputs at scale.
Documentation is only the starting point.
EVA turns engineering knowledge into a structured system that behaves like code. It can be reused, validated, and executed consistently across workflows.
This is how engineering moves from manual effort to governed execution.
Trusted and backed by leading engineering and industrial organisations developing EVA for regulated environments.
We bring together deep experience in engineering, AI, and regulated industries.
We have seen firsthand how documentation slows teams down and why generic tools fail. That perspective shaped EVA: a system built to support engineers, not replace them, and to produce outputs that stand up to real-world scrutiny.
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We collaborate with domain partners across systems engineering, aerospace, and digital manufacturing.
EVA enables engineering teams to generate audit-ready documentation faster, with consistency, control, and less manual effort.