Enterprise Intelligence for the Agentic Age

Your legacy is
your next
competitive edge.

rhena transforms the institutional knowledge locked inside legacy systems into a semantic intelligence foundation — purpose-built for the AI agent era.

Start Semantic Onboarding Explore the platform
✓ No code freeze · ✓ Zero structural leakage · ✓ AI-operable from day one
Deterministic AI grounded in provable enterprise truth
Semantic Intelligence Pipeline Live
📦
Legacy Source
PowerBuilder · COBOL · EGL · Smalltalk · 3270/CICS
Input
↓ Structural Extraction
🔬
Structural Extraction
Call graph · data flow · control flow · dependencies
Deterministic
↓ Semantic Extraction
🧠
Semantic Extraction
Business rules · UI intent · compliance model · data semantics
AI-Assisted
↓ Behavioral Extraction
⚡
Behavioral Extraction
Workflows · user tasks · domain operations · test harness
Executable
↓ Canonical Extraction
📐
Canonical Extraction
Entity normalization · rule canonicalization · cross-system alignment
Canonical
↓ Target Reconstruction
🚀
AI-Operable Enterprise
Cloud-native · governed agentic ops · continuously evolvable
Output
Zero code freeze required
The Transformation Imperative

The window is narrowing.

Legacy systems are blocking AI adoption — and the cost of standing still is measurable.

70%
of IT budgets consumed by maintaining legacy — leaving only 30% for innovation
IBM, IDC
$2.3T
annual global cost of enterprise legacy maintenance
IBM Global Estimate
72%
of legacy transformation attempts fail or significantly overrun
McKinsey, Gartner
Core Transformations

Three walls every enterprise hits.
rhena breaks all three.

Legacy transformation fails in the same places, every time. We built the platform that resolves all three — structurally, semantically, and operationally.

⚙️
From
Technical debt that compounds with every change — constraining decisions, blocking teams, and turning your systems into a liability rather than an asset.
extracts into
To
Technical Debt → Technical Asset
rhena extracts the institutional knowledge embedded in legacy code — business rules, compliance logic, domain semantics — and structures it as a machine-queryable Semantic Model. Your 30-year-old system becomes the most comprehensive specification of your business ever produced.
🔒
From
Siloed black-box applications that no one fully understands, AI cannot operate, and every integration carries risk you cannot see or quantify.
surfaces as
To
Black-Box Enigmas → Differentiable Enterprise Intelligence
rhena builds a Semantic Model across your entire portfolio — mapping dependencies, data lineage, and behavioral contracts between systems. Your enterprise stops being opaque and becomes queryable, explainable, and AI-operable at every layer.
🐌
From
Manual, human-gated workflows built for a world where people moved information between systems — incapable of the speed or scale AI-native operations demand.
reconstructs into
To
Non-Agile Processes → AI-Operable Workflows
Once systems are semantically structured, AI agents can understand, orchestrate, and optimize your business processes — with deterministic grounding, governed execution, and full auditability. Escape from legacy constraints becomes a continuous operating state, not a one-time migration.
Semantic Intelligence Platform

Not translation. Not rewriting.
Extraction, then reconstruction.

A controlled, traceable path from legacy source through a layered Semantic Model to a modern, AI-operable target — with behavioral equivalence proved at every step.

01
Semantic Onboarding — 1 to 6 Months
We ingest your legacy portfolio and construct a layered Semantic Model — extracting business rules, data semantics, UI intent, security posture, and compliance behaviors. The output is not documentation. It is a machine-readable, queryable model of how your systems actually work — including everything that has never been formally captured. Duration scales with portfolio size.
Semantic Extraction
02
Platform Activation & Knowledge Transfer
We deploy and operationalize the platform in your environment — equipping your teams with AI-assisted analysis tools, a transformation workbench, and behavioral test harness management. Your engineers own the Semantic Model and the transformation roadmap it reveals.
Enterprise Enablement
03
Continuous Evolution — No Code Freeze
Transformation proceeds domain-by-domain with zero disruption to ongoing legacy development. Delta tracking keeps the Semantic Model synchronized as the legacy system evolves. Reconstructed components run alongside legacy in a co-existence architecture until each domain passes the behavioral test harness.
Behavioral Reconstruction
04
AI-Operable Enterprise
As systems become semantically structured, AI agents gain deterministic context to operate workflows, orchestrate processes, and continuously evolve the enterprise — safely, traceably, and at scale. From assistive AI to operational AI with explicit governance, audit trails, and human override at every boundary.
Governed AI Operations
Semantic Model Construction
Legacy Source Multi-Language
PowerBuilder · COBOL · EGL/RBD · Smalltalk · 3270/CICS · VB6
↓ parse + structural extraction
Structural Extraction Deterministic
Call graph · control flow · data flow · SQL mapping · UI structure
↓ semantic inference
Semantic Extraction AI-Assisted
Business rules · validation logic · UI intent · compliance rules
↓ behavioral extraction
Behavioral Extraction Executable
Business operations · user workflows · batch processes · event contracts
↓ canonical extraction
Canonical Extraction Normalized
Entity normalization · rule canonicalization · cross-system deduplication
↓ semantic model assembly
Semantic Model Source of Truth
Entities · capabilities · API contracts · RBAC model · event design
↓ target reconstruction
AI-Operable Target System Output
Cloud-native · reactive UI · governed agentic ops · continuously evolvable
Auto Test Harness Security Extraction UI Semantic Extraction Delta Tracking Graph + Vector Store Compliance Model Co-existence Layer
Why rhena

Five things no other approach
delivers together.

Every other solution either preserves legacy structural constraints or introduces execution risk through black-box AI. rhena is the only platform that delivers all five simultaneously.

Dimension rhena All Other Approaches
No legacy constraints carried forward
✓Zero structural leakage. Monolithic GUI components and dumb terminal screen layouts do not travel into the target. Clean architecture from the ground up.
✗Legacy constructs travel forward in modern wrappers. Technical debt migrates with the code.
Deterministic AI grounding
✓The Semantic Model is the foundation. AI proposes; the platform enforces correctness and traceability at every step. Hallucinations caught by design, not discovered in production.
✗Black-box LLM generation without structural grounding. Works in demos. Fails at enterprise scale.
No code freeze required
✓Delta tracking keeps the Semantic Model synchronized with ongoing legacy development throughout the engagement. Zero disruption to the business.
✗Requires code freeze or accepts divergence risk between the transformation stream and production.
Reimagined user experience
✓UI intent extracted from legacy interactions — the underlying user task and decision model — re-expressed as reactive, role-aware, multi-device experiences.
✗Legacy screen layouts delivered in web frameworks. A modernized version of the old interface, not a reimagined one.
Security & behavioral proof
✓Security model extracted from source, explicitly reconstructed. Auto-generated behavioral test harness produced before reconstruction begins — provable correctness, not assumed.
✗Security added afterward. Testing built post-delivery. Behavioral equivalence assumed, not proved.
The Team Behind rhena

Thirty years of enterprise truth,
built into a platform.

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 record
30+
years inside the world's most complex legacy systems
1B+
lines of legacy code analyzed and transformed
Zero
migration-related production errors across all enterprise engagements
3
continents — enterprise clients across EU, US, and New Zealand
"Thirty years of enterprise transformation taught us two things: legacy systems hold extraordinary institutional intelligence, and the industry has always thrown it away. rhena is our answer to that."
— Slavik Zorin, Co-founder & CEO, rhena .ai
Accumulated institutional knowledge
rhena .ai
The platform — built from everything below
AI-Assisted Reconstruction Pipeline
Semantic extraction · behavioral proof · governed AI operations
Zero-Defect Transformation Methodology
1B+ lines · zero production errors across all engagements
Enterprise Domain Extraction
Banking · Insurance · Energy · Financial Services · Government
Legacy Source Mastery — 30+ Years
PowerBuilder · COBOL · EGL · Smalltalk · 3270/CICS · VB6 · Mainframe
The First Phase

Semantic Onboarding —
1 to 6 months.

Duration 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.

Deliverable 01
🧠
The Semantic Model
A complete, layered intelligence model of your legacy portfolio — business rules, data semantics, UI intent, security posture, and compliance behaviors. The first time your organization knows exactly what your systems do.
Deliverable 02
📋
Behavioral Test Harness
The first complete executable specification your legacy systems have ever had. Establishes a behavioral baseline immediately — surfacing latent defects before transformation begins.
Deliverable 03
🚀
AI-Operable Foundation
The platform deployed in your environment — graph and vector intelligence layer live. Your enterprise begins generating value from the Semantic Model from day one of activation.
Deliverable 04
🔧
Transformation Workbench
Your teams equipped to understand system behavior at a business level, identify transformation priorities, and define target architecture incrementally. Your engineers own the model.
Deliverable 05
🗺️
Transformation Roadmap
A ranked, phased, risk-assessed transformation plan grounded in what the Semantic Model reveals — not assumptions, not interviews. The actual behavior of your systems, expressed as a business-level evolution plan.
Deliverable 06
🔄
Delta Tracking Activated
Ongoing legacy development synchronized into the Semantic Model from this point forward. No code freeze — ever. New rules, regulatory changes, and production updates incorporated continuously.

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.

Commence Semantic Onboarding Talk to an architect
rhena .ai

Your legacy is your next competitive edge.
Powered by rhena — bringing legacy into the agentic age.

info@rhena.ai