Hand off the build. Get a finished system, not a project to manage.
Whether it's a platform that can't carry what you're asking of it, or something that doesn't exist yet, Altamira delivers the whole system end to end on the AI SDLC — proven to reach production 3–4x faster, with a fraction of the team a normal build takes.
Three starting points, one offer
A system that's slow, brittle, or can't scale to what the business now needs from it — rebuilt from the current requirements forward, not patched again. This is where a stalled or failed previous attempt usually ends up, and it's the more common starting point of the three.
A new system with no legacy constraint to work around — greenfield, built directly on the AI SDLC from the first requirement.
Working code that already proved the idea — often built fast, sometimes AI-assisted, sometimes no-code — but not hardened for production: no tests, no real architecture, security gaps. Altamira takes over what exists and builds it into a system that can carry the business.
Full deep-dive: Prototype to Production →All three run through the same pipeline, the same gates, and reach the same speed. What differs is the starting point, not the process.
Why this offer
You're not managing a build in-house or coordinating between vendors — Altamira owns the system end to end.
If the goal is a working system, not a team embedded in yours, this is the more direct path.
Want to keep the work closer to your own team instead? See AI Squads.
A named architect approves the plan before build starts; a named person accepts every finished piece of work.
The same pipeline, the same gates, the same speed — whether it's a rebuild or a greenfield build.
Proven, not promised
DRAFT — full case study coming soon
Eleven months stalled. Three months to production.
A platform rebuild, restarted from zero on the AI SDLC.
Full story →DRAFT — full case study coming soon
One person, part-time, no developers. Live in six months.
A greenfield build — the work a five-person team would ordinarily need a year to deliver.
Full story →Both are systems clients use and pay for today — not demos.
Your project is still at pure discovery, with nothing concrete yet to build or test against — the AI SDLC needs a defined shape to work from. That's worth a five-minute call to confirm either way.