DesignVerse / Industries
AI that ships code in industries where software cannot fail.
Air traffic systems. Core banking. Validated clinical platforms. Factory floors. DesignVerse briefs AI coding tools on your architecture and standards before a line is generated — so what ships matches how you already build.
The common pattern
Different regulators. The same engineering problem.
An ANSP, a bank and a device manufacturer look nothing alike. Their codebases do — the same three constraints, every time. They happen to be the three generic AI coding tools respect least.
Legacy that can't be replaced
Twenty-year systems still running live operations
The code that matters most is the code nobody wants to touch, and the people who wrote it have left. It can't be rebuilt wholesale or taken offline — so modernisation happens incrementally or not at all.
Standards that have to hold
Every change has to stay traceable
DO-178C, IEC 62304, PCI DSS, IEC 61508 — the standard changes by sector, the obligation doesn't. A change that can't be traced to a requirement isn't a shortcut; it's a release that doesn't ship.
Drift paid for twice
Rework first, re-certification after
When generated code doesn't match your architecture, the cost isn't the generation. It's the review, the repair, and the re-tracing — out of the engineering budget, usually unmeasured.
vs. Generic AI coding tools on equivalent work.
A 15-year system modernized in ~1 month.*
More engineering capacity without adding headcount.*
Choose your industry
Six sectors. One context layer.
What drift costs in your sector, the standards the work has to survive, and where teams see results first.
Engineering drift
Every team builds the same thing a little differently.
Two minutes, your own inputs, a figure you can take into budget review.
By the work
Or come at it from what you're actually doing.
Four patterns show up across every sector. Follow the tags into the industry page where each one is explained in context.
Legacy modernisation
Evolve systems step by step against the architecture that already exists. No rebuild, no downtime.
Embedded & safety-critical delivery
Move faster on embedded and device software, with traceability intact from requirement to release.
Governed AI adoption
One governed foundation instead of thirty private versions of "how we use AI here". Every change logged and attributable.
Scaling delivery across teams
What one team got right, applied everywhere — approved libraries, patterns, architecture.
Air-gapped, VPC, on-premises. Isolated environments, role-based access, traceable change history, EU and US data residency.
“Our innovation cycle is slower than most. DesignVerse has helped us modernise our software systems at an accelerated pace — without compromising the reliability, safety and security that remain our highest priority.”
— Lead Architect, European air navigation organisation
Frequently asked questions
What regulated engineering teams ask first.
The generation isn't the hard part. The obligations around it are. Code has to match an approved architecture, use sanctioned libraries, and stay traceable from requirement to release. A generic AI coding tool has no view of any of that, so its output has to be found, reviewed and reconciled afterwards. DesignVerse loads that context before generation, so what comes back is already aligned with how your organization builds.
Yes. Legacy applications evolve incrementally against their existing architecture rather than being replaced wholesale. That keeps live operations running, avoids the risk concentration of a big-bang rewrite, and lets teams ship modern software while the original system stays in service.
DesignVerse is standard-agnostic by design: it applies whatever architecture, patterns and governance you define. Teams run it under DO-178C in aviation, IEC 62304 and GxP in life sciences, PCI DSS and regulatory reporting obligations in financial services, and IEC 61508 and related safety standards in industrial environments. Every AI-assisted change is logged and attributable, which is what an auditor or certification body asks for.
It runs in your infrastructure: private cloud, VPC, on-premises or fully air-gapped, with isolated environments, role-based access and EU or US data residency. Air-gapped deployment is a supported configuration, not a special case.
No. It sits underneath them as one governed context layer across whatever your teams already use. Engineers keep their tools; the difference is what those tools know before they write.