Build with AI speed. Ship with enterprise control.
Forge gives AI the context, specs and guardrails your enterprise runs on.
Modernize legacy systems and build new ones faster, without losing control.
Modernize the old. Accelerate the new.
Legacy estates absorb the budget, leaving little for new innovation. And standalone AI coding tools have no persistent context, specs or guardrails — so they add cost and risk instead of velocity, and nothing carries forward to the next project.
What a coding tool can’t give an enterprise.
Context
Legacy logic and architecture captured as reusable Living Specs. Nothing gets rediscovered twice.
75%lower token spend
Governance
Policy and security enforced before code is generated, with a human approving every change.
100%traceable
Spec-driven
Vague intent becomes Work Orders: requirements, tests, architecture, done-criteria. Assignable to anyone, or any agent.
70%less delivery time
The engine underneath the factory.
Context
Codebase, business, and delivery context carried across every handoff. A living knowledge graph grounds people and AI agents in the architecture that matters, not a blank prompt.
- Lower token spend
- Reduced drift
- Every handoff
Governance
Guardrails run before the code is written. Policy, security and architectural constraints are evaluated up front, not audited afterwards. A human approves every merge, and drift from the target architecture is blocked at the gate.
- Pre-generation checks
- Human approval
- Drift blocked
Spec-driven
Ambiguous intent turned into execution-ready Work Orders. Requirements, tests, architecture, and done-criteria, evidence-linked and reusable, so any human or AI executor works from the same complete definition of done.
- 70% faster delivery
- No random prompting
Knowledge graph
One connected model of the estate. Code, rules, dependencies, data and policy in a single graph. Everything above reads from it.
Traceability
An evidence record for every change. Requirement, tests and approver linked end to end, ready for audit.
UI design
Interactive screen previews, ready before code. Product, design, and engineering align on the experience before user stories and coding begin.
Model cost prediction
Choose the right model for every task. Teams balance accuracy, latency, and budget before hitting production.
Verified handoffs at every stage.
Each phase uses dedicated inputs, outputs, and gates so nothing moves forward unverified.
Code intelligence map
Forge reads the estate — code behaviour, business rules, architecture, dependencies. You get a map of what the software actually does.
What it checks
- Every dependency resolved or flagged as unknown
- Business rules traced to real code
- No context without a source
Reusable Living Specs
Intent and constraints written as versioned specs that stay with the code. The next wave reads them instead of starting over.
What it checks
- Each spec traced to its code and requirement
- Ambiguity resolved by a human first
- Code changes require a spec change
Ready-to-run Work Orders
Vague intent becomes assignable work: requirements, tests, architecture, done-criteria. Your team, a partner or an agent can pick it up.
What it checks
- Tests and done-criteria set before assignment
- Architecture decision recorded
- Scope small enough to review
Compliant change set
Agents and coding tools work inside guardrails. Policy and security are checked before code is generated, not after.
What it checks
- Guardrails checked before generation
- A human approves every merge
- Drift from the target architecture is blocked
Full traceability record
Every change ships with its record: the requirement it meets, the tests that cover it, who approved it. You keep it.
What it checks
- 100% of work orders traceable end to end
- Releases linked back to their spec
- The record is yours, not the vendor’s
Three ways enterprises use Forge.
Legacy modernization
Monoliths and mainframes refactored to cloud-native services, with the business logic inside them intact.
Start your modernization journey
New application development
New products and AI features built on the same governed context as the rest of the estate.
Database migration
On-prem databases moved to cloud data platforms. Licensing costs and scaling limits gone.
Start migrating
Cursor
Claude
Windsurf- Devin
GitHub
Results from enterprise programmes.
Two case studies, with the numbers our customers approved for publication.
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 Forge?
Forge is an AI software factory. It takes raw intent and turns it into enterprise-ready code, governing every step in between. Code assistants generate code; Forge governs the lifecycle around it, so intent, context and guardrails are settled before anything gets written.
How fast can we go from Idea-to-Production?
Forge produces the full specification set in minutes - intent analysis, PRD, BRD, FRD, architecture, security and compliance requirements, and the work orders that execute them. Because rework and architectural drift are removed up front, teams compress cycles that traditionally run months into hours.
What is an AI-SDLC?
An AI-SDLC is the software development lifecycle rebuilt around AI. Instead of manual handoffs between planning, development and release, intent and context carry through every stage, and AI agents execute against a specification approved before any code was written. Parallel delivery, with governance built in.
What is ForgeScore?
ForgeScore is a health scorecard for your codebase, delivered in minutes. It reads legacy code or a new build across eight engineering dimensions and tells you how structurally sound, secure and maintainable it is before any work is planned.
Does Forge use my data to train AI models?
No. Your code, intent and architectural data stay private and are never used to train foundational models.
Can Forge work with my existing tools?
Yes. Forge runs with the assistants your team already uses - Cursor, Claude Code, Copilot, Windsurf, Codex, Devin - along with your CI/CD pipelines and your cloud or on-premises environment. Nothing gets replaced.
How is Forge different from GitHub Copilot or Cursor or Claude?
Those are code assistants. Forge is an enterprise software factory. Assistants generate code quickly inside a file; Forge governs the whole lifecycle around them, supplying the intent and context that makes AI speed safe at enterprise scale.
Start with one estate. Keep the context forever.
We map one legacy application, scope the first wave, and show you the specs Forge would produce — before you commit to anything.
What is a software factory?