Modernize what holds enterprises back.

Legacy code is costly to run and knowledge is trapped inside. Forge turns it into an AI-ready asset, unlocking compounding enterprise value for your business.

The legacy estate, through Forge, into an AI-ready assetOn the left, the legacy estate: blocks of every size tangled together by crossing links. In the middle, Forge: every tangled line passes through a gate for context, intent or control. On the right, the same work as an AI-ready asset, in tidy rows, each ending finished.Legacy estateCostly, its knowledge trappedForgeContextIntentControlAI-ready assetCompounding enterprise value

Works with the tools your teams already use

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Windsurf
  • Jira
  • GitHub
  • GitLab

High-impact metrics driving enterprise value.

  • 75%

    Reduction in token spend

  • 60%

    Reduction in rework

  • 100%

    Of work orders traceable end-to-end

The cost of standing still.

Most enterprises haven't started modernizing yet. The legacy estate just gets more expensive to run, and its knowledge stays out of reach.

  • Legacy maintenance tax

    The majority of IT budgets and team effort are consumed simply by keeping systems running.

  • Trapped competitive knowledge

    Critical business logic and intelligence remain locked away, invisible to business leaders and hindering innovation.

  • Hidden, unmanaged risk

    Limited visibility into where risk lives, what it impacts, or how to systematically resolve it.

Waiting is costly. Modernizing without control is worse.

The friction of modernizing.

Current approaches rely on costly third-party lock-in, risky ungoverned AI, and undocumented context that leaves when consultants exit.

  • Multi-year, resource-intensive engagements

    Slow, costly engagements dependent on outside experts — the knowledge leaves when the partner exits.

  • Ungoverned AI experimentation

    Ad-hoc AI speeds delivery but introduces drift, rework, and compliance exposure across the estate.

  • Undocumented knowledge

    Business rules and dependencies live outside the code, with people who've left or moved on.

  • System complexity

    Coupled systems and inconsistent data make even small changes risky and hard to trace.

AI provides the speed. Context, intent, and control provide the direction.

RiskValueStart here
CodeDataDependenciesBusiness rulesOne graph
What should happenWhat must remain intactHow success is validated
Defined boundaryAgentsGatesValidated

Forge + GSI

Forge makes your GSI faster, and their work yours. Governed context and specs turn every engagement into a reusable enterprise asset. Your GSI. Your context. Compounding value.

Know what you're modernizing before you start—and show what improved.

ForgeScore measures health, complexity, resilience and change-readiness across eight dimensions. It gives you a defensible baseline for where to modernize, and a way to prove what improved.

What you get

  • A decision-ready baseline
  • Remediate, modernize or redesign
  • AI-readiness constraints
  • Before-and-after measurement
Baseline61
Reassessed78
+17 points
  • System Gravity52→73

    Coupling and difficulty of change: how much has to move when one thing moves.

  • Trust Boundaries62→82

    Protection of access, secrets, interfaces and system boundaries.

  • Production Resilience70→78

    Ability to operate reliably at scale.

  • Cognitive Load55→79

    Effort required for people and AI to understand the software.

  • Logic Narrative74→84

    Visibility and traceability of business logic.

  • Semantic Clarity55→82

    How clearly the code communicates intent.

  • Data Weight62→74

    Readiness of the data architecture to support change.

  • Future Proofing58→72

    Architectural readiness for future change.

Illustrative reassessment. Actual scores vary by application.

“What once took weeks can now be achieved in minutes with an enterprise grade modernization blueprint.”

Venkat GopalanBelcorp

The compounding advantage.

Forge doesn't just modernize applications. It builds an institutional intelligence layer that compounds with every transformation. The context layer gets smarter with every modernization.

Capture intelligenceEnrich contextReuse across the estateModernize fasterContext layer
  1. Capture intelligence
  2. Enrich context
  3. Reuse across the estate
  4. Modernize faster

Every transformation makes the next one faster, safer, and more intelligent.

Modernize across three distinct layers of your stack.

  • Framework modernization

    Break monoliths into cloud-native microservices.

    • .NET Framework to Cloud .NET
    • Angular 2+ to Latest Angular
    • Spring 4 to Spring Boot
  • Language conversion

    Refactor and modernize legacy codebases.

    • COBOL to Java
    • VB6 to C#
    • Python 2 to Python 3
  • Database migration

    Decouple, migrate, and modernize data stores.

    • On-Prem Oracle to AWS Aurora
    • SQL Monolith to MongoDB
    • Relational to Vector DBs

Seven months of scope, delivered in one week.

Enterprise modernization programmes delivered on Forge.

Cloud → on-prem Kubernetes conversion

Speed

7 months → 1 week

A working build inside the first week.

Cost

60% lower

Token spend, on the same scope.

Saved

~$350K

On one conversion programme.

Legacy systems, pipelines and analytics

Speed

2–6 weeks → ~1 hour

Day-0 target cleared.

Pick one application. We'll show you the modernization roadmap.

We map the dependencies and business rules in one legacy application, scope wave one, and hand back the specs.