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.
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 two.
A new system with no legacy constraint to work around — greenfield, built directly on the AI SDLC from the first requirement.
Both run through the same pipeline, the same gates, and reach the same speed. What differs is the starting point, not the process.
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.
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.