rhena completely rebuilds your legacy systems from extracted institutional knowledge — clean microservice architecture, your preferred tech stack, deployable to any cloud hyperscaler. Zero legacy design carried forward.
Every year legacy systems stay untouched, the gap widens — between what your systems can do and what your competitors can ship. The cost of standing still is now measurable.
Legacy transformation fails in the same places, every time. The same three structural walls. We built the platform that breaks all three — permanently.
At the end of a rhena engagement you have production-ready modern software. Here's exactly what "complete rebuild" means.
Domain-driven service boundaries derived from extracted semantic knowledge — not decomposed from legacy code. Every service independently deployable, testable, and observable. No monolith patterns survive. No legacy architectural constraints carried forward.
React, Vue, or Angular. Spring Boot, Go, or FastAPI. PostgreSQL, Aurora, or MongoDB. You specify the target; rhena reconstructs to it. Not to a default stack. Not to whatever is easiest to generate. To what your organization has chosen to build on.
AWS, Azure, or GCP — or multi-cloud. Container-native and Kubernetes-ready from the ground up. Genuinely cloud-agnostic because the architecture starts from business semantics, not from infrastructure constraints or platform-specific patterns.
Interfaces rebuilt from extracted user intent and business workflows — not migrated legacy screens. Role-aware, reactive, and responsive across web, iOS, Android, and tablet. What your users need to accomplish, redesigned from the ground up.
Every modernization approach sounds reasonable until you look at what you actually end up with. Here's the unvarnished picture.
Automated conversion tools that parse legacy syntax and emit modern-language equivalents. PowerBuilder becomes Java. COBOL becomes C#. The output compiles and runs. Modernization project declared a success.
Consulting-led programs that build a new system from scratch — starting from requirements gathering, process interviews, and reverse engineering. On paper, this is the cleanest architectural approach.
Every business rule, data flow, UI intent, security posture, and compliance behavior is extracted from your source code — deterministically, not sampled. The extracted knowledge becomes the Semantic Model. Reconstruction proceeds to your architecture specification.
Three deterministic phases that take your organization from institutional knowledge extraction to AI-operable enterprise — each traceable, each proved against the previous. No black-box AI generation. No legacy patterns carried forward.
We instrument your entire legacy portfolio — every business rule, data flow, UI intent, security boundary, and compliance constraint extracted and formalized. Not sampled. Not approximated. Complete institutional knowledge from every line of every system, regardless of language, platform, or age.
Extracted knowledge is assembled into a machine-readable Semantic Model and deployed into your environment as a live intelligence layer. Your enterprise becomes immediately AI-operable — queryable, explainable, and ready for governed agentic operations. Not a future milestone. Day one.
With the Semantic Model as ground truth, AI-assisted reconstruction rebuilds your systems completely from scratch to your target architecture — your stack, your cloud, your domain structure. Behavioral equivalence proved before any production cutover. Your legacy runs throughout. No code freeze, ever.
rhena was founded by the core team from Synchrony Systems — practitioners who spent three decades executing high-stakes legacy transformations for global banks, energy utilities, and financial institutions before AI made any of this architecturally possible.
Founding team track recordDuration scales with portfolio size and complexity. The output is the same: complete machine-readable intelligence from systems that have never been formally understood — and an AI-operable foundation operational from day one.
At the end of Phase 1, your organization moves from reverse-engineering a black box to actively designing its future — with complete visibility, a proved behavioral baseline, and an AI-operable foundation already operational.
The AI-Operable Enterprise starts with what you already have.
Powered by rhena — bringing legacy into the agentic age.