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Deterministic Intelligence for Enterprise Systems.
Engineering Certainty Where General AI Reaches Its Limits.

In mission-critical enterprise systems, a guess is a production incident. ReML replaces the probabilistic uncertainty of generic AI with the mathematical precision of structural automation — decoding your application’s DNA to guarantee 100% business logic fidelity.

 

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Lines of code

migrated & analyzed

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Oracle trigger

types covered

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Execution path
coverage (W1)
$ 0 M
R&D grant backing
this platform

Why Generic AI Fails in Mission-Critical IT.

General-purpose AI operates on probability. It predicts the most likely answer based on patterns in training data. In enterprise systems with 1.69 million lines of Oracle Forms–specific logic, “most likely” is not good enough.

 

Generic AI vs. ReML — Behavioral Fidelity
Trigger coverage
~38%
Generic AI (LLM-based)
Trigger coverage
120+
ReML engine
Logic correctness
~55%
Generic AI (LLM-based)
Logic correctness
≥80%
ReML (W2 metric)
3VL data fidelity
Low
Generic AI — no Oracle NULL awareness
3VL data fidelity
Full
ReML — SqlVarchar / SqlRecord types
The verdict: A generic LLM does not know what WHEN-VALIDATE-ITEM fires before. It cannot trace a PL/SQL trigger chain across 14 packages. It will not catch Three-Valued Logic failures. ReML was built precisely because these gaps cause production incidents.

Four Problems That Generic AI Cannot Solve in Your Codebase

These are not theoretical risks. They are the failure modes we observed across the analysis of over 76 million lines of Oracle Forms code.

The Digital Twin of Your Application.

RIB is the central reasoning engine of the ReML suite. It performs forensic static analysis — automatically ingesting source code and database schemas to construct a fully integrated architecture graph of your entire system. Not a summary. A structural map.

RIB — architecture-graph.analysis
.fmb / .fmx
Oracle Forms source
PL/SQL packages
Procedures & triggers
DB schema
Tables, views, sequences
Java/React source
Migrated codebase
↓ forensic static analysis ↓
RIB Core — Architecture Graph Engine
Cross-layer data flow mapping · Dependency resolution · Impact tracing
↓ generates ↓
Full Architecture Graph
UI → PL/SQL → DB lineage map
Deterministic Impact Analysis
Change X → affects Y, Z, W (before coding)
Living Documentation
Always synchronized with running system
IDE Integration via MCP
RIB feeds authoritative architectural context directly into AI assistants (Copilot, Cursor) inside your IDE — ensuring AI-generated code is grounded in your project's specific rules, not generic patterns.

What RIB Gives You That No Documentation Can

These are not theoretical risks. They are the failure modes we observed across the analysis of over 76 million lines of Oracle Forms code.

Forensic Static Analysis

Automatically ingests source code and database schemas. Maps every form block, trigger, procedure, package, and table relationship into a unified dependency graph — without requiring any manual annotation.

Deterministic Impact Analysis

Know exactly which procedures, packages, or UI components will be affected by a database change. The system traces data lineage from the interface down to the deep PL/SQL logic — before a single line of code is written.

Living Documentation

Functional specifications that stay synchronized with the running system and database structures. When the code changes, the documentation changes. No manual updates. No drift between spec and reality.

Guided PL/SQL → Java Migration

An AI-assisted workflow for extracting logic from the database into maintainable Java code. Preserves the original developer's intent while ensuring the new code meets modern enterprise standards — and validates against the RIB graph.

Runtime Evidence.
Not Assumptions.

RTA is the runtime evidence layer of the ReML suite. It captures actual system behavior in real time — bridging the gap between how an application was originally built and how it is actually used by your employees today. Every test scenario is grounded in reality, not in what the specification says should happen.

 

RTA — session-capture-to-test.pipeline
1
Capture Real User Sessions
RTA observes actual user interactions with the migrated Java/React system — recording every click, field entry, navigation event, and system response in real time.
2
Convert to Playwright Scripts
Captured sessions are automatically converted into robust, structured Playwright test scripts — ready for CI/CD integration. No manual scripting required.
// Auto-generated from session trace
await page.goto('/employees/new');
await page.fill('[data-rf="firstName"]', 'John');
await page.selectOption('[data-rf="job"]', 'Programmer');
await expect(page.locator('.validation-msg'))
.toBeHidden(); // WHEN-VALIDATE-ITEM preserved
3
Generate Gherkin Documentation
RTA converts execution traces into business-readable Gherkin scenarios — creating documentation that business stakeholders can validate without reading code.
Feature: New Employee Registration
Scenario: Valid employee with department
Given the HR App is open
When I fill in First Name "John"
And I select Job "Programmer"
And I click Save Employee
Then the record is saved successfully
4
Self-Healing Test Maintenance
When UI elements change in the migrated application, RTA's autonomous self-healing mechanisms detect the change and update test selectors automatically — keeping regression packs current without manual effort.

What RTA Gives You That Static Analysis Cannot

RIB maps the architecture. RTA validates the behavior. It captures what your system actually does under real operating conditions — not what the code says it should do.

Real-Time Session Capture

Observes actual user interactions with the running system. Captures the behavioral surface that the code produces in production — including edge cases that no specification anticipated.

Playwright Script Bootstrapping

Converts captured sessions into robust, automated Playwright test scripts instantly. Enables rapid assembly of regression packs for the most critical business processes — without a single line of manual test code.

Business-Readable Gherkin Output

Automatically generates Gherkin-format scenario documentation from execution traces. Business stakeholders can read and validate test coverage without touching the codebase.

Autonomous Self-Healing

When UI elements change in the migrated application, RTA detects the change and corrects test selectors automatically. Regression packs stay current without manual maintenance overhead.

RIB + RTA: The Map and the Evidence.

Neither RIB nor RTA alone delivers Engineering Certainty. The true value is found in the closed-loop feedback between the two. Every architectural insight is backed by runtime evidence. Every test scenario is context-aware. Together, they eliminate the gap between what the system is designed to do and what it actually does.

RIB — The Map

Reforms Information Base

The structural model. A forensic, deterministic graph of every dependency, trigger, and data flow in your system.

RTA — The Evidence

Reforms Test Assistant

The behavioral proof. Real execution traces that validate what the system actually does under real operating conditions.

1+1=3

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Execution path coverage automatically generated  W1 – Path Coverage
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Logical & business correctness of generated scenarios W2 –  Logic Correctness
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Compliance with enterprise naming & stylistic conventions  W3 – Style Compliance

Measured. Validated. Proven.

ReML is not a prototype. It is the culmination of years of intensive research applied to real enterprise codebases at scale. The quality indicators below are not marketing targets — they are the measurable thresholds our R&D program was required to meet and demonstrate.

 

Metric W1 — Path Coverage

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Execution Path Generation

Automatic generation of at least 80% of all possible execution paths within the system — without manual test case authoring.

Metric W2 — Logic Correctness

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Business Logic Accuracy

Logical and business correctness of generated scenarios exceeding 80% — validated against the original Oracle Forms behavioral specification.

Metric W3 — Style Compliance

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Enterprise Convention Compliance

Compliance with enterprise naming conventions, code structure, and stylistic standards at 80% or higher — ensuring maintainability from day one.

$ 0 M

R&D Grant — Post-Migration Value Generation

ReML is backed by a $1.8M R&D  UE EU grant focused specifically on post-migration value generation for Oracle Forms environments. This funding supported the development of RIB, RTA, and the ReML engine across a corpus of over 76 million lines of migrated enterprise code — producing the W1, W2, and W3 quality metrics as independently verifiable proof of platform maturity.
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Oracle Trigger Coverage — ReML Engine

The Precisely Ordered System of Oracle Events — Fully Mapped.

ReML understands the precise firing order of Oracle Forms’ event system — covering 120 out of 125 trigger types. This is not pattern-matching. It is structural knowledge of the Oracle Forms runtime, encoded into the transformation engine. Additionally, ReML uses specialized Java types (SqlVarchar, SqlRecord) to maintain Three-Valued Logic (3VL) — preventing the subtle NULL-handling errors that typically emerge during manual code rewrites.

Built for Teams That Cannot Afford to Be Wrong.

ReML is not a general-purpose tool. It is designed for specific roles operating under specific pressures — where the cost of a logic error is measured in production incidents, regulatory risk, and organizational credibility.

 

CTOs & IT Directors

Leaders aiming to reduce technical debt, eliminate logic locked in expensive-to-maintain Oracle databases, and establish a safe evolution path for post-migration systems — without betting the organization on a black-box AI tool.

System Architects

Engineers who need a precise, navigable model of a legacy system's cross-layer dependencies before designing any modernization or refactoring strategy. RIB provides the architectural map that no documentation has.

L3 Support & Maintenance Teams

Engineers who need to rapidly diagnose, reproduce, and fix production bugs in complex legacy environments — where the root cause is buried in a PL/SQL trigger chain that nobody documented and the original developer has left the company.

QA Automation Engineers

Professionals looking to scale regression coverage by orders of magnitude without the manual grind of writing scripts from scratch — and without the constant maintenance burden of scripts that break every sprint.

Stop Guessing.
Start Engineering.

The best way to evaluate ReML is to apply it to your actual codebase. Every engagement begins with a Structural Audit — a concrete analysis of your system’s architecture, trigger inventory, and dependency graph. No commitment. No generic demo. Real output about your real system.

Book a Structural Audit

We analyze your codebase and deliver a concrete roadmap for safe modernization — including trigger inventory, dependency map, and risk profile.

Schedule a ReML Demo

Watch RIB and RTA explain complex system flows and generate documentation in real time — on a representative module from your environment.

Request a Proof of Concept

See how ReML handles your most complex Oracle Forms module. Delivered in days, not months. Measurable against the W1–W3 quality indicators.

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