Rapid AI Transformation
Move off the aging platform without freezing the roadmap.
Agents do the archaeology, senior engineers make the calls that matter, and your product team keeps shipping while the new stack goes up alongside the old one.
What it is
The freeze is what kills replatforms.
The standard replatform is a two-year program, a feature freeze, and a second team keeping the system you're trying to leave alive. The freeze is the part that does the damage: by the time the new platform lands, the market has moved and there's a hole in the roadmap where a year of product should have been.
We run the rebuild as a parallel track. Agents reconstruct how the platform behaves today, module by module, including the parts nobody has opened in years. Senior engineers decide what carries over, what gets dropped, and what's worth rebuilding differently now that rebuilding is cheap. You own the result - the code, the tests, and the agent instructions that produced them.
What happens
Three things, in this order.
Archaeology
Agents index the codebase and reconstruct current behavior, including the business logic that only exists as code.
Rebuild in parallel
The new stack goes up next to the live one. No feature freeze, and no second roadmap to maintain.
Cut over on evidence
Parity tests on real data decide the date. QA sign-off runs continuously instead of arriving at the end.
Get started
Tell us which platform is holding you back.
Walk us through the platform and where it hurts. What comes back is a scope, a sequence, and an honest list of what could go wrong.