You provide strategy
You share the business goal driving the migration. That's your only required input.
AI-Powered · Legacy Migration Modernization / No big-bang rewrite
AI-accelerated legacy software migration — modernize without the big-bang rewrite.
Legacy software migration services that modernize aging systems incrementally. PHP to modern framework migration, .NET modernization, mainframe to cloud migration, and legacy system replacement — handled service by service, so you de-risk the move and keep shipping.
We handle cloud migration for legacy applications one slice at a time, behind an AI-driven defect-reduction edge — not a frozen roadmap and a year-long rewrite.
01 / What we migrate
Off legacy,
in slices.
We move the riskiest parts of an aging system first — framework, cloud, and data — in a prioritized, reversible sequence, so you modernize without a single high-stakes switchover.
Framework
Framework migration (PHP, .NET, legacy Java)
PHP to modern framework migration, .NET modernization services, and legacy Java moved onto a supported, maintainable stack — incrementally, with behavior preserved at every step.
Cloud
Mainframe to cloud
Mainframe and on-prem workloads re-platformed onto cloud infrastructure — assessed, sequenced, and migrated in slices for elasticity and lower operating cost.
Replace
Legacy system replacement
Legacy system replacement services done in slices, not a single switchover — old and new run side by side until each piece is proven and the old one can retire.
Lift
Cloud migration for legacy apps
Cloud migration for legacy applications — rehosting, re-platforming, or refactoring per workload, decided on evidence so each app lands the way that pays off.
Data
Database and data migration
Schema and data moved with integrity — extraction, transformation, and validation so nothing is lost and the new system matches the old one record for record.
Cutover
Incremental (strangler-fig) cutover
A strangler-fig pattern routes traffic piece by piece from the legacy system to the new one — every cutover reversible, so the business never stops while you modernize.
02 / What's included
A de-risked migration,
not a leap of faith.
A migration only works when every step is reversible and proven. Here is what every engagement includes.
- Migration assessment and dependency mapping
- ROI-backed plan before any build begins
- Incremental, reversible migration — old and new side by side
- Data migration with full validation and reconciliation
- Automated regression tests guarding every cutover
- Performance and security hardening on the new stack
- Low-downtime cutover planned and rehearsed
- Documentation and handover so your team can own it
03 / The full process
One continuous loop,
owned end to end.
Every migration runs on the same hands-free lifecycle — a de-risked, reversible path from your strategy to a measured cutover and a forward roadmap. You set direction; we carry the weight at every step.
We define requirements
We assess the legacy system, map dependencies, and translate it into clear requirements and the success metrics the migration will be judged on.
Design & ROI-backed budget
We design the incremental, reversible migration path and present a budget with projected ROI before any build begins — so you approve with eyes open.
Implementation via Aegis AI
We migrate in slices and ship faster than you've experienced — old and new running side by side, with the defect-reduction edge that lets us move at speed safely.
Monitor behavior & measure ROI
After each cutover we track real behavior and measure ROI against the targets — in real time, on dashboards you can see, so every step is proven before the next.
A/B test, propose & roadmap
We validate each migrated slice in-market, propose the next increments, and lay out the forward roadmap to retire the rest of the legacy system.
A continuous loop — insights from steps 5–6 feed straight back into strategy, so the migration compounds in value ● Your team stays focused on the business
04 / Proof · BJ's Restaurants
Headline case · 12-month live data
We migrated BJ's from legacy PHP to modern Node.js and React.
BJ's Restaurants ran a guest-facing platform on an aging PHP codebase. Silicon Prime migrated it to a modern Node.js and React stack — incrementally, service by service, with no big-bang rewrite and no disruption to a 200+ location operation. Powered by Aegis AI, the team sustained twice-weekly releases and ran zero critical defects across twelve months. See the full Aegis AI proof.
2×/wkRelease cadence sustained
0Critical defects · 12 months
200+Locations supported
Migration, de-risked by Aegis AI.
Migrating a legacy application is where projects stall. Aegis AI — our patent-pending methodology — de-risks it: smaller, reversible units of work, AI-augmented planning, and AI-powered pre-release quality that catch regressions before they ship. AI accelerates legacy code modernization — translating legacy PHP logic into modern Node.js and React — maps dependencies so nothing is missed at cutover, and validates migrated data for completeness before go-live — all under senior review. You move off legacy at speed, without a big-bang cutover. See how Aegis AI works.
We are an AI lab born out of Stanford, building Responsible AI for the enterprise since 2011. The same defect-reduction edge proven across a 200+ location enterprise with twice-weekly releases and zero critical defects in 12 months is what lets us cut over legacy systems at speed without breaking the business. Explore how we think about human-led AI, see the bigger picture in application modernization, or pair a migration with software re-engineering to pay down the debt underneath.
That defect-reduction edge is the point — it's why we can migrate incrementally and reversibly instead of betting everything on one switchover.
05 / Frequently asked
Migration,
answered.
The questions teams ask before letting anyone touch a system the business runs on.
Legacy migration moves software off aging frameworks, languages, or infrastructure onto a modern, supported stack — for example PHP to a modern framework, .NET modernization, or mainframe to cloud migration. We do it incrementally, service by service, so you modernize without a risky big-bang rewrite.
We migrate incrementally with a strangler-fig approach — routing traffic piece by piece while old and new run side by side — so every step is reversible and the business keeps running. Each cutover is backed by data validation, automated regression tests, and a low-downtime plan agreed before we start.
We migrate incrementally by default. A big-bang rewrite stalls features and concentrates risk, so we replace the legacy system in slices and ship value continuously. We only recommend a fuller rewrite when the existing code genuinely cannot carry the business forward, and we say so with evidence.
Yes. We handle cloud migration for legacy applications and mainframe to cloud migration — assessing dependencies, migrating data with validation, and re-platforming workloads onto cloud infrastructure incrementally, so you gain elasticity and lower operating cost without a single high-stakes switchover.
Because we migrate in slices, value lands early and the timeline scales with scope rather than one long freeze. Every engagement opens with an assessment and a costed, ROI-backed plan that lays out the increments and milestones, so you know the path before any build begins.
06 / Start the migration
Trapped in a legacy stack?
Tell us what you're running today. We'll map the dependencies, name the trade-offs, and give you a costed, incremental path off it — without freezing the roadmap.
Guided by human-led AI · Stanford-rooted · Founded 2011