Your system is holding the business back. Let's replace it — not patch it again.
Brittle, slow, or can't scale to what the business now needs — Altamira modernizes the system from the current requirements forward, on the same AI SDLC that reaches production 3–4x faster than a normal rebuild.
When your system needs modernization, not another patch
The system works, but every change takes longer than it should — dependencies nobody wants to touch, patches on patches, a codebase the team is afraid of.
A previous modernization attempt stalled or was quietly shelved.
The platform can't carry the load the business now puts on it — new markets, new volume, new integrations it was never built for.
Nobody currently on the team fully understands how the system works end to end.
You're paying a growing "modernization tax" just to keep shipping ordinary features.
If this is you, the AI SDLC doesn't patch around these problems — it rebuilds from the current requirements forward, with the same gates and the same accountable delivery as every other Altamira engagement.
What this covers
untangling and rebuilding the parts of the system that make change expensive, without a rip-and-replace of what already works.
moving off infrastructure that's aged out, without a disruptive cutover.
replacing manual, risky releases with a pipeline the team can trust.
building the safety net the original system never had, so the rebuild (and everything after it) can move fast without breaking things.
an architecture that can actually take advantage of AI-native development going forward, not just a like-for-like rebuild.
leaving the system in a state where the next change is normal work, not an event.
Modernizing regulated and financial systems
Banking, insurance, and other regulated environments carry constraints most legacy rebuilds don't: compliance requirements that can't be paused for a migration, audit trails that have to survive the transition intact, and uptime expectations that rule out a hard cutover. Altamira modernizes these systems in phases — old and new running in parallel until the new system has fully earned its place — so compliance and availability hold throughout, not just at the end.
Why this offer
You're not managing the rebuild in-house or coordinating between vendors — Altamira owns it end to end, same as every AI-Accelerated Delivery engagement.
This isn't a lift-and-shift of what the system already does — it's rebuilt for what the business actually needs from it today.
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 as a greenfield build — a legacy starting point doesn't mean a legacy timeline.
Proven, not promised
DRAFT — full case studies coming soon
A platform rebuild, restarted from zero on the AI SDLC. This is a system the client uses and pays for today — not a demo.
Full story →Nothing exists yet to rebuild from — no current system, no current requirements to work against. That's a greenfield build instead: see Building what doesn't exist yet.
The code is recent, not legacy — built fast in the last few months (often AI-assisted) and hit a wall of no tests, no real architecture, or security gaps rather than years of accumulated constraints. That's Prototype to Production instead — same idea of taking over existing code, but a different starting condition and a different fix.