Step · 01
AI codebase analysis
AI maps a legacy codebase fast — dependencies, dead code, and the real boundaries for services — so the right slices come out first.
Outcome The system understood. Real service boundaries, not guesses.
AI-Powered · Application Modernization Legacy to modern / No big-bang
AI-accelerated application modernization that de-risks the move to modern.
Application modernization services that de-risk the move to modern. Enterprise application modernization through refactoring, application re-platforming, and monolith to microservices migration — we modernize your legacy web application incrementally, service by service.
No big-bang rewrite and no business standing still — old and new run side by side behind a facade, every step reversible, with an Aegis AI defect-reduction edge that keeps production safe while the stack moves forward.
01 / What we modernize
The work that moves
a stack safely forward.
We modernize the parts that actually hold the business back — from aging code and dated hosting to the monolith itself — in a prioritized, ROI-backed sequence.
Refactor
Application refactoring
Our enterprise app refactoring services restructure aging code for clarity, testability, and maintainability — same behavior, far less risk and cost to keep moving forward.
Re-platform
Re-platforming
Application re-platforming services move your application onto modern hosting and runtimes for quick wins on cost and reliability, with a clear upgrade path from there.
Decompose
Monolith to microservices
Our microservices migration services break a monolith into independently deployable services behind a facade — extracted one at a time, validated continuously, never in a single risky cutover.
Cloud-native
Cloud-native modernization
Re-architect for the cloud — containers, managed services, and elastic scale — so the application is resilient, observable, and cost-efficient.
UI / UX
UI and UX modernization
Replace dated, hard-to-use interfaces with a modern front end your users and teams actually want to work in.
Data
Database and data-layer modernization
Migrate and modernize the data layer — schema, storage, and access — so the foundation can carry the modernized application.
02 / Architecture approach
The right path
for your risk profile.
There is no single way to modernize. We choose the approach that fits your system — an incremental migration when downtime isn't an option, a fast re-platform when speed and budget lead.
Enterprise / critical
Incremental (strangler-fig)
For critical systems that have to keep running, we modernize legacy web application estates behind a facade and migrate service by service. New capabilities gradually replace the old monolith until it can be retired — no big-bang cutover, and every step is reversible if something looks wrong. Old and new run side by side, each extracted service is owned and deployed on its own, and automated checks validate behavior as you go.
Speed
Re-platform, then refactor
When time and budget matter most, we move the application to modern hosting first to bank quick wins on cost and reliability, then refactor the hotspots that need it. It's a lower-upfront-effort path that still ends with a clean, maintainable system — fast onto modern runtimes, immediate gains, and a clear route to deeper modernization from there.
Not sure which fits? We assess the system, choose the right path with you, and hand you a migration plan with a costed roadmap — so the approach matches your risk, not someone else's playbook.
03 / What's included
Modernization that
de-risks every step.
Modernization goes wrong when it's a leap of faith. Every engagement includes the parts that make the move safe, measurable, and owned by your team at the end.
- Modernization assessment and roadmap
- ROI-backed plan before any build
- Incremental migration — no big-bang
- Microservices and cloud-native architecture
- Automated test coverage
- Performance and security hardening
- Low-downtime cutover
- Documentation and handover
04 / How AI accelerates the move
Modernize fast —
without breaking things.
Modernization usually means slow, risky, big-bang projects. Aegis AI changes the math — AI does the heavy lifting of understanding and re-shaping a legacy system, always reviewed by senior engineers.
Step · 02
AI-assisted refactoring
AI-accelerated refactoring and re-architecture, always reviewed by senior engineers — so the codebase changes shape at pace without losing hard-won behavior.
Outcome Re-shaped at speed. Human-led, never auto-merged.
Step · 03
Automated test generation
AI generates the characterization tests that make every modernization change safe — behavior pinned down before a single line moves.
Outcome A safety net under every increment.
Step · 04
AI-accelerated delivery
The Aegis defect-reduction edge means modernization ships in weeks, not a year — value delivered incrementally, with production kept safe.
Outcome Value in weeks, not a year-long rewrite.
↺ In the AI economy, velocity is survival — see how Aegis AI works ● Defect-reduction edge
05 / Proof · BJ's Restaurants
Headline case · 12-month live data
From legacy to twice-weekly releases.
BJ's Restaurants, a 200+ location enterprise, modernized its guest-facing platforms with Silicon Prime. Aegis-powered delivery moved the team from bi-weekly to twice-weekly production releases — with zero critical defects across twelve months. Incremental, low-risk modernization meant the business never stopped while the stack moved forward. See the full Aegis AI proof.
2×/wkRelease cadence
0Critical defects · 12 months
200+Locations supported
Modernize at speed,
safely.
We are an AI lab born out of Stanford, building Responsible AI and enterprise software since 2011 — a web application modernization company that lives or dies on whether you can change a running system without breaking it. That is exactly the edge behind Aegis AI, our enterprise production suite, proven across a 200+ location enterprise running twice-weekly releases with zero critical defects in 12 months. That defect-reduction discipline is what lets us modernize a legacy web application service by service at pace, without putting your business at risk.
The result: a modernized application your team can own, operate, and extend — delivered the way we build everything, as a human-led program. If the goal is moving off an old stack entirely, see our legacy migration work; if the target is a modern backend, see our Node.js development practice; and once it's modern, we keep it that way with application maintenance.
A modernized application your team can own — proven step by step, rather than promised.
06 / Frequently asked
Modernization,
answered.
The questions engineering and product leaders ask before modernizing a system the business depends on.
Application modernization is the process of updating legacy and monolithic software to a modern architecture, platform, and codebase without rebuilding it from scratch. It spans refactoring, re-platforming, and monolith-to-microservices migration. We deliver it incrementally, so you reduce cost and risk while the application keeps running.
For most enterprise systems, incremental modernization beats a full rewrite. A big-bang rewrite is high-risk and often runs over budget, while an incremental strangler-fig approach migrates the application service by service behind a facade, reversible at each step. We rewrite only when the system is small or the legacy code cannot carry the business forward.
We map the monolith, identify the right service boundaries, and extract them one at a time behind a facade using the strangler-fig pattern. Each extracted service is deployed and validated independently, so the monolith shrinks safely instead of being replaced in one risky cutover. The result is a cloud-native architecture your teams can own and scale.
We migrate incrementally behind a facade so the old and new systems run side by side, route traffic gradually, and keep every step reversible. Combined with automated test coverage and a low-downtime cutover plan, this keeps critical systems available throughout. The Aegis AI defect-reduction edge lets us move at this pace without sacrificing reliability.
Modernization pays back through lower maintenance cost, better reliability and performance, faster delivery, and the ability to add features the legacy stack blocked. We model the expected ROI in an assessment and roadmap and present a costed plan before any build begins, so you invest against evidence rather than hope.
07 / Start your modernization
Modernize without the rip-and-replace.
Tell us what you're running today. We'll assess it, choose the right path, and give you a costed roadmap to a modern, low-risk future.
Guided by human-led AI · Stanford-rooted · Founded 2011