Transform legacy estates into cloud-native microservices with Phoenix.ai

Phoenix.ai is 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 with automated programmatic gates at every stage, Phoenix.ai eliminates the logic leaks, regression risk, and timeline overruns that plague traditional manual code rewrites. The platform's Bond Fix self-healing layer resolves compilation gaps and framework misalignments autonomously — no manual developer intervention required.

Phoenix.ai is already deployed at enterprise scale, including a completed migration of a ~6M LOC EPS Radius manufacturing ERP to .NET Core with zero regression delivery.

Migration Speedup

-40%

Capex Reduction

95%

Logical Accuracy

~0%

Legacy Code Hallucinations

Phoenix.ai features

Deep Semantic Extraction

Parses obsolete legacy structures into highly-typed Lossless Semantic Trees (LSTs). Captures execution loops, variable bindings, and hidden dependency rules — including dead code branches — with absolute precision before a single line of output is written.

AI-Agent Translation

Deploys specialised AI agent fleets to systematically map legacy rules and generate clean, decoupled target architectures — .NET Core 8, Java Spring Boot, React, Angular — using advanced syntax generators that enforce structural separation from day one.

Deterministic 3-Gate Validation

Every migration phase passes through a programmatic gate before the next begins. Gate 1 verifies LST compilation. Gate 2 confirms clean compilation output. Gate 3 requires >95% test coverage, zero regressions, and a green security scan. If any gate fails, the pipeline halts.

Bond Fix Self-Healing Engine

Automatically resolves compilation gaps and framework misalignments through multi-cycle iterative diagnostic loops. Addresses library reference errors, dependency gaps, and schema variations without developer intervention. HITL flags are raised only when complex logic conflicts exceed pre-configured thresholds.

24-Week Delivery Lifecycle

A structured, gate-verified migration roadmap across four phases: Discovery (Weeks 1–4), Translation (Weeks 5–9), Bond Healing & Manual Fixes (Weeks 10–18), and Cloud Cutover (Weeks 18–24). Deployed to AWS or Azure with parallel validation shadow runs and zero business interruption at cutover.

Universal Modernization Portfolio

Six proven migration tracks covering the full legacy stack: Progress 4GL to .NET Core, .NET Framework to .NET Core 8/9, Java 6–8 to Java 21 (OpenJDK), PowerBuilder to .NET Core/React/Angular, SQL Server 2008/2012 to Azure SQL/AWS RDS, and AngularJS/Ember to Angular 17+/React 18.

AI-to-the-core platform

Phoenix.ai is built on frontier AI capabilities — not AI as an overlay, but embedded into the core of enterprise engineering. The same technology underpins Kellton's broader AI and modernization practice.

Proprietary modernization blueprint

Orchestrated through Kellton's proprietary modernization blueprint, the platform brings structure, repeatability, and delivery intelligence to every engagement — regardless of stack or scale.

Proven at enterprise scale

Already deployed across major enterprise engagements. Phoenix.ai's commercial rollout marks Kellton's decisive transition from AI experimentation to AI-led enterprise execution at scale.

Industry leading expertise

With over 2,000 professionals across North America, Europe, the Middle East, and Asia, Kellton delivers deep AI, cloud, and enterprise platform experience to every Phoenix.ai deployment.

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Phoenix.ai: Modernizing enterprise legacy 80% faster at half the cost.