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.
Works with the tools your teams already use
- GitHub Copilot
- Grok Build
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.
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
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.
“What once took weeks can now be achieved in minutes with an enterprise grade modernization blueprint.”
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 intelligence
- Enrich context
- Reuse across the estate
- 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
- Migration to Databricks
Seven months of scope, delivered in one week.
Enterprise modernization programmes delivered on Forge.
Cloud → on-prem Kubernetes conversionSpeed
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 analyticsSpeed
2–6 weeks → ~1 hour
Day-0 target cleared.
Questions buyers ask, answered straight.
What is application modernization?
Application modernization is updating legacy software so it runs on current platforms without losing the business logic inside it. That can mean moving language, database, runtime or architecture. The logic encoded over decades is usually the asset worth keeping; the platform underneath it is the problem.
What is legacy modernization?
Legacy modernization is the work of moving old systems onto supported technology while preserving what they do. The risk is rarely the code itself - it is that the people who understand it are leaving, and the rules they knew were never written down.
Why do legacy modernization projects fail?
Most fail because the original intent was never recorded. Teams rewrite what they can see in the code and lose the rules that were never documented. Without a specification reconstructed from the existing system, a modernization becomes a rewrite, and a rewrite loses behaviour.
What are the steps for application modernization?
Assess the existing codebase and score its health. Reconstruct what it actually does into a specification. Design the target architecture. Break the work into ordered, verifiable units. Execute with review gates at each stage. Verify the new system behaves like the old one before decommissioning anything.
How do you calculate ROI on application modernization?
Compare the cost of running and maintaining the current system against the cost of modernizing plus running the new one. Include the cost of scarce skills, security exposure and the features you cannot ship today.
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.