AI requirements assistant
Describe what you need in natural language. Foundry produces technical specifications, acceptance criteria, tests, and test data.
Build enterprise applications with AI—in minutes
NOUMENA Foundry turns natural language into structured requirements, client-ready specifications, and a tested MVP—with preview and deploy on your cloud.
The application delivery trap
Service firms that move from ideation to production stay in control of the client relationship, need fewer partners, and grow share of wallet. Foundry is built to compress that path without sacrificing governance.
Too slow
Proofs of concept take weeks; MVPs take months. Clients expect faster results and shorter feedback cycles.
Knowledge gap
Consulting firms often lack depth to design and implement enterprise-ready applications end to end.
Risk
Some AI tools generate code that is hard to audit, govern, and hand off to enterprise clients.
Communication lag
Requirements lose fidelity down the value chain—slow, expensive, and error prone in fast-paced initiatives.
The enterprise “Lovable” moment
Consumer-style speed with enterprise expectations: structured inputs, deterministic builds, and deploy to your subscriptions.
Multi-phase build pipeline
TDD by default and a guided multi-phase process for deterministic outcomes—agents follow the process instead of cutting corners.
Enterprise connectors
Automated connectors for ERP, blockchain, and process mining platforms such as Signavio and Celonis.
Infrastructure and cloud deploy
Generated infrastructure and one-click style deploy into your environment using your subscriptions—GitHub, Azure, AWS, and more.
Deterministic architecture
React or Flutter with TypeScript and MUI, backed by generated secured APIs from OpenAPI specifications.
From business idea to running application
A clear development process guided by skilled AI agents—so demos and first releases land with confidence.
Step 1
Business requirements
Outcome
You leave with refined requirements, a quality read on completeness, and a structured source of truth—not a loose chat transcript.
Foundry turns plain-language intent into something buildable: a guided conversation, an honest quality pass, and artifacts the rest of the pipeline can execute against.
What you get in this step
- Structured discovery. The assistant asks the right follow-ups so roles, rules, and outcomes are captured once—reducing rework when engineering starts.
- Requirements quality score. Weak or ambiguous areas are surfaced early, while you still have the business context in the room to fix them.
- Living specification document. One structured document is the anchor for humans and agents alike: editable, versionable, and explicit enough to hand to a client.
- Bridge into build. From the same baseline, Foundry drafts technical specification material, acceptance themes, tests, and seed test data—so step two is continuation, not reinterpretation.
Use arrow keys or swipe on touch devices. Step 1 of 4.
Requirements through specifications
Structured requirements
Foundry uses a structured approach to turn natural language into detailed business requirements and a shared source of truth—human- and agent-readable.
Requirements assessment
Qualitative assessment highlights weak spots so you can improve the inputs that drive the strongest client outcomes.
Technical specifications
From business requirements, Foundry generates technical specifications, acceptance criteria, and test data.
Domain model
Review role and authorization models, core data and state models, and functional architecture in one place.
Test scenarios
Acceptance-driven test data and users, tailored and verifiable against your requirements.
Client-ready outputs and branding
Diagrams, journeys, and documentation for on-screen co-creation—plus branding so the solution feels like your client’s product from day one.
Build, preview, and share
Deterministic development
Rule-based, predefined architecture. TDD by default and phased delivery so outcomes stay predictable.
CI/CD integration
Connect GitHub or GitLab to host generated code and plug into your existing build pipelines when you need them.
In-portal preview
Preview inside the Foundry portal for quick sanity checks before wider rollout.
Live monitoring
Inspectors, database access, and container overview for operational insight.
Real-time feedback
Stakeholders and clients use the application immediately and give feedback while it is still easy to change.
Your cloud
Connect Azure, AWS, or Google Cloud subscriptions to run the solution in your environment.
What you get
Tangible outputs at the end of a Foundry engagement:
Structured documentation
Single source of truth from requirements through specs—editable by people and agents.
Specs, tests, and data
Technical specifications, acceptance criteria, tests, and test data generated from requirements.
End-to-end MVP
Working application validated against the technical specification.
Deployable stack
Infrastructure and paths to deploy on your hyperscaler accounts.
Platform qualities
How Foundry stays aligned with enterprise expectations:
Process you can trust
Guided agents and boilerplate enforce a defined workflow instead of ad-hoc generation.
Security-minded delivery
Enterprise-oriented architecture and validation—not opaque throwaway prototypes.
Provider flexibility
Works with the LLM and providers you choose—no single-vendor lock-in for the model layer.
Governance and handoff
Artifacts and structure suited to audit, review, and client delivery.
Foundry for every role
Progressive depth: start with validation-focused workflows, then add technical delivery and scaled AI guardrails.
Months 1–4
Foundry Light
Business consultant
Pain: Needs technical help for early prototyping, or tools that only produce mediocre fidelity.
Goal: Shorten validation cycles with structured requirements and simpler build and deploy.
Months 5–9
Foundry Pro
Technical consultant
Pain: Stuck trading quality, scope, and timeline on every engagement.
Goal: Ship a first iteration faster with automation, secure patterns, and room to iterate.
Months 10+
Foundry AI Guide
Engineer
Pain: Raw AI coding assistants behave like junior developers and need constant steering.
Goal: Scale AI-assisted delivery with guardrails, best-in-class boilerplate, and an enforced workflow.
How Foundry compares
Summary positioning from our product benchmark (✓ strong fit, ⚠ partial, ✗ not a focus).
| Feature | Lovable | Replit | Cursor / Claude | NOUMENA Foundry |
|---|---|---|---|---|
| Build enterprise-ready application | ✗ | ⚠ | ⚠ | ✓ |
| Works with any LLM / provider | ✗ | ✗ | ✓ | ✓ |
| Well defined development process | ✗ | ✓ | ✗ | ✓ |
| Deterministic architecture and infrastructure | ✓ | ✓ | ✗ | ✓ |
| No technical know-how needed | ✓ | ⚠ | ✗ | ✓ |
| No dependency on US company | ✓ | ✗ | ✗ | ✓ |
What this means for your firm
Faster time to market
Deliver in days instead of weeks when the process and automation align.
Smaller teams
MVPs with one or two people instead of full delivery squads for every experiment.
Higher margins
Lower cost to produce each outcome improves overall project margin.
Reduced risk
Structured validation plus built-in security characteristics compared to opaque codegen.
Better client experience
Interactive previews and real-time feedback strengthen workshops and reviews.
Empower functional consultants
Less mandatory deep technical specialization to take an idea to a running application.
Ship faster without losing the enterprise bar
Bring structured requirements, deterministic builds, and client-ready artifacts together—then preview and deploy on the cloud you already use.