01
Enterprise context management
Give AI workflows the relevant knowledge, documentation and codebase context they need—without treating every task as a blank prompt.
Context & knowledge vault
Enterprise-grade software engineering,
reimagined for the AI era.
reimagined for the AI era.
Build software with AI.
Deliver it with confidence.
WUUN brings AI coding models, enterprise context and disciplined engineering workflows together—so organisations can build, modernise and support software with greater efficiency and control.
ENTERPRISE CONTEXT
CONTROLLED DELIVERY
Engineering orchestration
Workflow active
AI modelsChoose the right model
EngineeringStandards & guardrails
Knowledge vaultContext that compounds
Enterprise context
Model flexibility
Quality & compliance
Cost-aware AI
THE WUUN METHOD
AI coding is powerful.
Enterprise delivery needs more.
Individual AI coding tools can accelerate development. WUUN adds the context, workflows and controls that help teams apply AI across real-world software engineering.
02
Workflow-led engineering
Coordinate work through repeatable workflows for greenfield development, brownfield operations and software modernisation.
Agile / ITIL-aligned
03
Quality & compliance guardrails
Bring engineering disciplines into the workflow, including testing, documentation, code scanning and security checks.
Governance by design
04
Multi-model orchestration
Use different AI models according to task needs, balancing complexity, capability and token cost instead of depending on a single provider.
Choice without lock-in
05
Multi-project visibility
Bring knowledge, delivery activities and engineering controls into a more consistent view across projects.
A coordinated control tower
THE OUTCOME
More leverage from every engineer.
Help experienced people direct AI agents through guided workflows, rather than managing every task manually.
See how it works →A different operating model
From AI-assisted coding
to AI-orchestrated delivery.
WUUN connects people, process and technology in a single delivery approach. AI models do the coding work; WUUN provides the workflow, context and engineering controls around it.
Discuss your use casePeople & intentGoals, requirements and review
>>WUUN.AI orchestration layerContext · Workflows · Guardrails
Knowledge vaultQuality & securityDocumentationTest automationCost optimisationProject controls
★Model AComplex reasoning
⌘Model BCode generation
◈Model CCost-efficient tasks
✓
Software outcomesCode · Tests · Docs · Governed delivery
>>Illustrative platform workflow; model selection and steps depend on the task and deployment configuration.
INSIDE THE WUUN SDLC PLATFORM
From repository to requirements,
in one connected workflow.
The WUUN SDLC platform turns your code and documents into a living knowledge graph, then uses it to drive analysis, requirements, chat and engineering workflows.
01
Repository knowledge graph
Ingest a repository and build a graph of projects, modules, files, functions and their relationships. A quality gate rejects shallow graphs so downstream results stay trustworthy.
Graph + vector search
02
Requirements from code (BRD)
Generate business requirements documents from ingested code and documentation, with provenance that traces each statement back to its source.
Traceable by design
03
Code analysis & metrics
Code quality, security and technical-debt views with an overall grade, recommendations and key design considerations. Each metric is labelled as measured, derived or unknown, with a confidence level.
Defensible scoring
04
Context-aware chat
Ask questions about your estate and get answers grounded in the knowledge graph and indexed documents, with budget and relevance controls on how much context is used.
Grounded answers
05
Model routing & token policy
Route each task to the model that suits it through a single gateway, with per-model prompts and token policies that keep AI spend predictable.
Cost-aware AI
ENTERPRISE READY
Secure, observable, deployable.
Single sign-on through standard OIDC, configuration managed centrally, ingestion monitoring and runbooks, and flexible deployment on your own infrastructure.
Request a walkthrough →WUUN GREENFIELD WORKFLOW
From specs to business capabilities
One connected workflow turns natural-language specifications into enterprise-grade applications that are secure, compliant and ready to power new business capabilities.
- STEP 01
Ingest
Provide functional, technical, architectural and governance requirements in natural language. WUUN takes it from there.
- STEP 02
Analyse & design
WUUN analyses requirements and generates UI, backend service, data structure and architecture designs for human review and approval.
- STEP 03
Generate & test
WUUN generates application code, runs automated tests and scans for code quality and security before human testing begins.
- STEP 04
Review & govern
Human review outputs with provenance, scores and recommendations before anything ships.
WUUN BROWNFIELD WORKFLOW
From repository to governed outcomes
One connected workflow turns existing code and project knowledge into actionable, reviewable engineering outputs.
- STEP 01
Ingest
Connect a repository. WUUN analyses files and structure and builds the knowledge graph.
- STEP 02
Index
Projects, modules and code are embedded for semantic search, then checked by a quality gate.
- STEP 03
Analyse & generate
Run code analysis, generate requirements and drive workflows using the right model for each task.
- STEP 04
Review & govern
Human review outputs with provenance, scores and recommendations before anything ships.
WHERE WUUN FITS
One platform. Multiple stages of the software lifecycle.
Apply AI across both new development and existing systems—while retaining the engineering discipline enterprise environments require.
01 / CREATE＋
Greenfield development
Move from requirements to working software with workflow-guided AI assistance, quality practices and documentation built into the process.
New applicationsRapid prototypingWorkflow-guided build
02 / OPERATE◫
Brownfield operations
Use enterprise knowledge and contextual analysis to support existing applications, incident investigation, maintenance and ongoing improvement.
Knowledge retrievalLog analysisModernisation support
03 / EVOLVE>>
Migrate & modernise
Support teams working through complex codebases and change programmes with a consistent workflow and a clearer view of engineering tasks.
Legacy systemsCodebase understandingIncremental change
TESTED BY WUUN'S CUSTOMERS
Efficiency worth
measuring.
>50%
Reduction in engineering hours
Greenfield development
>70%
Reduction in engineering hours
Brownfield scenarios
>60%
Optimisation in token cost
Reported in WUUN model-cost tests across selected scenarios
Figures are based on actual WUUN customer deployments; results may vary by use cases.
WHY WUUN
Keep your options open.
Keep delivery under control.
AI capabilities change quickly. WUUN is designed to help organisations adopt those capabilities without letting the model, the prompt or the tool dictate the entire engineering process.
Reduce vendor lock-in
Work across a multi-model environment rather than anchoring the operating model to one coding assistant.
Manage AI spend deliberately
Match models and context to task needs, with attention to token utilisation and cost.
Make engineering standards part of the workflow
Integrate quality, security, testing and documentation practices into the delivery path.
Build a repeatable operating model
Help experienced engineers coordinate AI agents through guided workflows across projects.
Enable One-Person-Operations
Use a workflow-driven UI to help an engineer achieve more. No coding—and no proprietary AI-coding-tool training—is needed.
Designed for real-world software
For teams with more to manage than code.
Enterprise IT teamsSoftware product companiesApplication modernisationDevelopment & supportAI transformation leadersEngineering governance
ABOUT WUUN
AI engineering,
built for the enterprise.
WUUN builds workflow-led AI software engineering for organisations that need more than a coding assistant. Our platform pairs enterprise context with engineering discipline, so experienced people can direct AI across new builds, existing systems and modernisation programmes.
Context first
Knowledge of your code and documents is built once and reused across every workflow.
Model-flexible
Choose models by task and cost, and change them as the market moves.
Human in control
Outputs carry provenance and confidence so people can review and decide.
START A CONVERSATION
Make AI work for
your software reality.
Bring us a greenfield idea, a complex application estate or an AI engineering challenge. Let's explore where workflow-led AI can make a measurable difference.
Explore a pilot with WUUN
Tell us a little about your systems and goals. We'll reply from support@wuun.ai.
Prefer email?support@wuun.ai