Phoenix.ai is the AI-led engine behind several tracks in this portfolio: an agentic platform that re-engineers monolithic legacy estates — Progress 4GL, Java, .NET Framework, VB6, PowerBuilder — into cloud-native microservices architecture, compressing multi-year transformation programmes into a structured 24-week delivery lifecycle.
Built on a deterministic three-phase translation engine — Deep Semantic Extraction, AI-Agent Translation, and Deterministic 3-Gate Validation — with the Bond Fix Self-Healing Engine resolving compilation gaps and framework misalignments automatically, Phoenix.ai is designed to eliminate the logic leaks, regression risk, and timeline overruns that plague traditional manual code rewrites.
It's already proven at enterprise scale: a completed migration of a ~6M-line-of-code EPS Radius manufacturing ERP to .NET Core, delivered with zero regressions.
Your legacy systems were never built to carry the weight of today's AI ambitions. Undocumented business rules, brittle dependency chains, and dead languages like Progress OpenEdge, PowerBuilder, and VB6 turn every “small” change into a risk exercise that stalls your broader enterprise software transformation.
of enterprise IT budgets consumed by legacy maintenance
cost premium for developers fluent in dead languages like 4GL, VB6, ColdFusion
These five modernization tracks apply everywhere legacy risk lives — Financial Services Legacy Modernization, Healthcare Application Transformation, Insurance Platform Modernization, and Public Sector Software Migration all face the same underlying problem: undocumented logic running on unsupported platforms, with Legacy Software Security Compliance gaps that keep auditors up at night.
Manual rewrites only compound the problem — introducing logic drift as engineers reinterpret decades-old rules by hand, and stretching timelines long after the business case has expired. That's the high maintenance costs of legacy apps compounding, year after year.
At Kellton, we take a different approach. Instead of a manual, engineer-by-engineer rewrite, we run your migration through Phoenix.ai, as part of a deliberate application modernization strategy built around your budget and risk appetite. That's why enterprises turn to our legacy modernization services — AI-led, deterministic, and built for production, not just proof-of-concept.
Five modernization tracks, one AI-native delivery engine — each one part of a broader application modernization strategy that maps your legacy risk to a production-ready target architecture we actively support today. The goal across all five: reduce technical debt in legacy systems without introducing new risk.
Your proprietary 4GL or dead-language systems don't have to be a permanent tax on your IT budget. We run Progress OpenEdge, PowerBuilder, VB6, Classic ASP, and Adobe ColdFusion through Phoenix.ai's Lossless Semantic Tree engine and AI-Powered Code Refactoring — not a manual, engineer-by-engineer rewrite — giving you a clean, decoupled target in .NET Core, Java, or Node.js.
Break your monolith apart without breaking your business. We decompose Java/Spring monoliths, offload mainframes to AWS Aurora or Snowflake, and containerize your VMs — and when it's your WinForms or Delphi desktop apps holding you back, the Phoenix.ai WinForms Migration Agent takes you from source code to a running React + API application in minutes, not months.
Sometimes the fastest way to build trust is a quick win. We move you off .NET Framework 4.x, Java 6/7/8, SQL Server 2008/2012, and AngularJS onto their modern, supported successors — a cloud native app modernization track focused on de-risking your core before you tackle the bigger transformation.
Your data shouldn't be trapped on yesterday's platform. We migrate you from Teradata, on-prem SQL Server, or existing Snowflake workloads into Snowflake, Azure Synapse Analytics, or Azure SQL Database — any source, any target, supporting your enterprise software transformation with governed, AI-ready data.
When your stack runs on Ruby, Scala, Perl, or PHP 5.x, finding talent gets harder every year. We pivot you onto Java, .NET Core, or Node.js/NestJS — mainstream ecosystems with mainstream hiring pools
Many of these tracks can be accelerated by Phoenix.ai, our AI-led modernization engine — the platform behind Kellton's legacy modernization solutions. See the introduction above for how its Deep Semantic Extraction, AI-Agent Translation, and Deterministic 3-Gate Validation pipeline works, or explore the platform Phoenix.AI.
You choose us because we bring specialized engineering depth most vendors won't touch to every legacy modernization solutions engagement — and an AI-native platform that helps de-risk the translation itself, not just the delivery around it.
Experts in modernizing Progress OpenEdge, PowerBuilder, VB6, ColdFusion, Legacy ASP, and .NET applications.
The same team that modernizes your legacy stack builds your new one using .NET Core, Java/Spring Boot, Node.js, Angular, and React.
Every architecture decision we make for you factors in downstream AI agents, data lakes, and analytics workloads — not retrofitted later.
Azure and AWS managed services, Kubernetes, CI/CD pipelines, and observability are baked into your delivery from day one.
Most organizations during AI pilots achieve production-scale impact. The gap between experimentation and enterprise-grade AI transformation is where Kellton operates.
Wherever your legacy risk lives, we map it to a target architecture we actively support in production today.
Exit proprietary 4GLs & dead stacks.
Monolith to microservices, AI-ready
Quick-win upgrades that de-risk your core.
Cloud-native analytics & AI foundation.
Pivot off boutique / niche stacks.
One of the very few SIs who will bid Progress OpenEdge or PowerBuilder migrations — and finish them.
The same team that decommissions your legacy app builds the modern one. No handoff loss.
Strangler-fig migration: incremental cutover, parallel run, zero-downtime go-live.
Across every track, our legacy application modernization solutions deliver:
Target architectures explicitly designed for downstream agentic AI and data platform integration.
Gate 1 verifies Lossless Semantic Tree compilation, Gate 2 confirms clean compilation output, and Gate 3 requires >95% test coverage with zero regressions — the Bond Fix Self-Healing Engine resolves gaps automatically along the way.
Solves the “missing developer” challenge that comes with niche, boutique tech stacks — the same risk our Specialized Ecosystem Transition track is built to close.
Removes vendor lock-in and the restrictive licensing fees that come with unsupported, proprietary languages.
Beyond Phoenix.ai's own platform-level numbers above, here's what a specific delivery pattern looks like in practice. For a phased, strangler-fig migration such as .NET → Angular + .NET Core, here's what clients typically measure against the baseline captured at kickoff — the kind of numbers that matter once your enterprise software transformation moves from pilot to production:
2–4 weeks, fixed fee. Application portfolio scan, risk & complexity heat-map, target architecture options, ROI model & roadmap.
8–12 weeks, T&M with cap. One bounded context end-to-end, production cutover, knowledge transfer, reference architecture artefact.
6–18 months, outcome-based. Multi-track delivery, dedicated pod model, managed services handover, co-owned success KPIs.
We are globally recognized for AI excellence, delivery quality, and consistent client satisfaction across industries and geographies.
Transform aging applications into scalable, cloud-native platforms with Kellton's AI-led modernization services. Accelerate migration, reduce modernization risk, and deliver measurable business outcomes with confidence.
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