Custom, Enterprise-Grade Software
Your prototype works. Now make it something the business can run on.
For teams that built something useful with AI and now need it to hold up every day, at real volume, without a developer on call.
A model gives you a working prototype in an afternoon. Turning it into custom software your team can depend on — versioned, reviewed, monitored, safe to change — is a different job. That's the job we do.
The problem
Most AI projects die as a clever demo nobody trusts in production.
Ten clean records, a friendly prompt, a room full of people nodding. Then it meets real data: 3,000 records a week, half of them formatted by someone who left last year, an API that goes down at 2am. The model wasn't the problem. Nothing was built around it.
What this looks like
From prototype to product
We take the artifact — a Claude build, a script, a workflow — and rebuild it as real software: a proper repo, tests, CI/CD, and a deploy your team can roll back. No more one-off that breaks the moment it matters.
Output
- Source-controlled repo with review + rollback
- Automated deploys to your own cloud
- Handover docs your team can actually run
Internal apps & dashboards
When off-the-shelf tools fall short, we build the internal apps, intake flows, and live dashboards your operation actually needs — on a modern stack (Next.js, Postgres, Vercel), not a brittle no-code sprawl.
Output
- Purpose-built internal tools
- Live dashboards off your real data
- Auth, roles, and audit built in
Still working in month four
Anyone can demo month one. Every build ships with what keeps it alive after that: pinned versions, test cases, monitoring, and a clear owner.
Output
- Eval-driven, not vibes-driven
- Monitoring + alerting wired in
- Documented ownership & versioning
Let's figure out where this fits your operation.
Most engagements start with a paid discovery — a clear map before anyone commits to a build.