Praixis AI OS · Custom, Enterprise-Grade Software
Turn AI artifacts into enterprise-grade software.
The model gives you a working prototype in an afternoon. Getting it to enterprise-grade — something your team can depend on every day, versioned, reviewed, monitored, and safe to change — is a different discipline. That's the part we do.
The problem
Most AI experiments die as a clever demo that no one trusts in production. The gap isn't the model — it's the engineering 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
Governed by default
Every build ships with the discipline that keeps it alive: pinned versions, eval cases, monitoring, and a clear owner. Enterprise-grade means it's still working — and still safe to change — six months later.
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.