Altamira's proprietary AI SDLC gets you to production 3–4x faster, with a fraction of the team a normal build takes. Proven in practice, not a pitch deck promise.
Months to production, not a year-plus.
Roughly 57% less human effort than a conventional build — that's budget, not just time.
A named person approves the architecture before build starts, and a named person accepts every finished piece of work.
You always know who's accountable and what's actually done.
This is what an AI-native software development life cycle looks like in practice — four checkpoints, human-approved at both ends.
Nothing gets built until the architecture is signed off.
Contradictions and gaps get caught while they're still a question, not after they've become code.
Specialised agents write, test, and review the code — each piece checked by a different one than wrote it.
Every finished task gets a human sign-off before it counts as done.
A fast, lightweight build against your brief — enough to see the shape of the thing and confirm it's worth building for real.
Once a prototype is approved, the real build starts on the full AI SDLC — architecture signed off, requirements validated, the first working pieces moving through review.
Not every project, and not a guarantee — but it's what a straightforward engagement typically looks like on this pipeline, prototype to production.
This is our target for how engagements typically move, not a claim proven identically on every project — the two case studies below show the range in practice.
DRAFT — full case study coming soon
Eleven months stalled. Three months to production.
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.
The work a five-person team would normally need a year for.
Full story →Both are systems clients use and pay for today — not demos.
Your project is still pure discovery, with nothing concrete to build against yet. That's a five-minute conversation to confirm, not a reason to skip it.
Bring what's slow, broken, or missing.