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An AI-anchored modernisation platform

Modernise your COBOL estate without losing what it knows.

Filix builds the platform and the methodology for moving off the mainframe without losing the business logic embedded in legacy code. Cobra runs your COBOL today; an opinionated AI methodology modernises it tomorrow — safely, auditably, at the pace you choose.

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The Filix AI methodology
Filix five-layer AI methodologyA stack of five composable layers, from authoritative metadata at the base to a compounding institutional memory at the top.Authoritative metadataThe base layer the AI reasons from1Specialised AI rolesAgents with clear, separate jobs2Loaded expertiseDomain skills the AI uses on demand3Hard rulesSafe choices made the easy default4Compounding memoryLessons that travel between engagements5

Filix scale and traction

Real
COBOL runtime, never simulated
Multi-language
COBOL, PL/I, JCL, CICS, IMS, MQ
AI-anchored
methodology, layered for safety
Container-first
cloud-ready, mainframe-optional
Platform

One platform, many languages, one runtime.

The Cobra Modernisation Platform is integrated, not a toolkit. Every component composes with every other.

Cobra Runtime

production
A real COBOL runtime, integrated with .NET and ready to run alongside modern services.
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Dictionary Server

production
Authoritative metadata across multiple mainframe languages — the base layer the AI reasons from.
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AI Specification Capture

production
A patent-pending approach to extracting business rules from runtime behaviour, not source code alone.
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Testing Framework

production
Generated tests run against the real runtime under modern test infrastructure. Simulation is forbidden.
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Code Generation

production
Schemas and adapters generated from your COBOL definitions, across the major database platforms.
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Language Coverage

production
Multiple mainframe languages — COBOL, PL/I, JCL, CICS, IMS, MQ — surfaced by one platform.
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Deployment

production
Container-first. Run on Linux, in the cloud, or alongside your mainframe during transition.
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Architecture

production
A single canonical view of how the platform composes, end to end.
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Methodology

Layered, opinionated, designed for safe AI.

Authoritative metadata at the base. Specialised AI roles above it. Loaded skills, hard rules, and an institutional memory that compounds. The methodology is the product as much as the platform is.

Read the methodologyFor acquirers
  1. 1
    Authoritative metadata
    The base layer the AI reasons from.
  2. 2
    Specialised AI roles
    A small set of agents, each with a clear job.
  3. 3
    Loaded expertise
    Domain skills the AI uses on demand.
  4. 4
    Hard rules
    Safe choices made the easy default.
  5. 5
    Compounding memory
    Lessons that travel from one engagement to the next.
What happens next

A focused demo, on your terms.

A 60–90 minute conversation: where you are, where you want to be, and how the platform and the methodology fit. Virtual or on-site.

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