Development
AI doesn’t replace good engineering. It multiplies it.
We build production software with AI, held to a senior engineer’s standard, by a small team that has shipped real systems for nearly 30 years.
Anyone can generate code with AI now, and most of what comes back is fast and fragile. It works in a demo and becomes a liability in production. The hard part was never the speed. It was making the output good, and that is the part we spent three years solving.
The result is simple to state. A small, senior team ships more, sooner, without the quality falling off, because experienced engineers direct every step. The AI handles the volume. The judgment stays human.
Held to a standard, not a vibe
Our code is measured against the ISO/IEC 25010 quality model and verified against the OWASP Application Security Verification Standard. The same standards we hold our own work to are the ones we test other people’s systems against. That is not marketing language. It is the difference between software you can build on and software you have to rebuild.
Built by the people who break things for a living
The usual worry about AI-built software is that velocity comes at the cost of safety. Not here. The people writing your software are the same people who secure AI systems for a living, so speed and rigor come from one team, not a trade-off between two.
What we build
- Web applications, APIs, and the integrations that tie systems together
- Complex, rules-heavy software where correctness is not optional, including compliance engines for regulated industries
- Modernization and rescue of systems that have stalled or drifted out of date
or see our security work if you want it tested as hard as it was built.