// SOFTWARE FACTORY
Custom software development
with timeline and cost defined upfront.
A structured, repeatable process: analysis, a navigable prototype before any code is written, development with AI in the pipeline, documentation included and human review on every release.
// FACTORY VS SOFTWARE HOUSE
What sets us apart from a traditional software house
A software house is craftsmanship: great in the right hands, but unrepeatable. A factory has an industrial process — replicable, measurable. We know in advance what we will deliver, in what form, and on what timeline.
Requirements analysis
Software house
Weeks
NuvextAI factory
Days, with AI support
Prototype before code
Software house
Rarely
NuvextAI factory
Always, navigable
Documentation
Software house
Paid extra
NuvextAI factory
Included by default
Change requests
Software house
Frequent, costly
NuvextAI factory
Rare, handled transparently
Delivery guarantee
Software house
Best effort
NuvextAI factory
Signed contractual points
Automated tests
Software house
Often missing
NuvextAI factory
Coverage from sprint one
| Aspect | Software house | NuvextAI factory |
|---|---|---|
| Requirements analysis | Weeks | Days, with AI support |
| Prototype before code | Rarely | Always, navigable |
| Documentation | Paid extra | Included by default |
| Change requests | Frequent, costly | Rare, handled transparently |
| Delivery guarantee | Best effort | Signed contractual points |
| Automated tests | Often missing | Coverage from sprint one |
// THE PROBLEM
Your backlog isn't a resource problem. It's a method problem.
Four symptoms we see in almost every IT department we engage with. They all share the same root cause.
Maintenance eating your capacity
Bugs, patches and lightning requests consume most of your developers' hours. New projects only get the leftovers.
Backlog frozen for months
Weeks to gather requirements, weeks to validate them. By the time a decision is reached, the original need has already shifted.
Endless change requests
The business evolves faster than the project being built. At release, half the original assumptions are obsolete.
Trust between business and IT erodes
Late deliveries, doubled costs, half results. Next time, you just buy a packaged solution and live with the compromise.
→ All these symptoms share one cause: the absence of a structured process where AI works alongside the people writing the code, from the analysis phase. The factory is built to close that gap.
// THE METHOD
Five phases. No improvisation.
You know in advance what will happen, on what timeline, at what cost. Each phase produces an artifact you see and approve.
Discovery and requirements
We work with the key people in the process: recorded interviews, existing documentation, real data. AI structures what we gather and flags gaps and contradictions before they become bugs.
Analysis measured in days, not months.
Navigable mockup
We build a clickable prototype of the main screens. You actually try it, tell us what to change, and we exit this phase with a shared, signed scope.
No surprises at go-live.
AI-in-pipeline development
The validated analysis becomes the working spec. AI works with the full context — requirements, rules, integrations — and produces consistent code. A person orchestrates, validates and rewrites where needed.
Less time spent redoing work from scratch.
Documentation generated alongside the code
User manual, technical manual and changelog are produced by the pipeline and stay in sync with the code. They aren't an "extra" tacked on at project end.
Always included, always aligned with reality.
Human review on every release
Every release goes through human code review, functional and end-to-end tests, architectural validation. AI accelerates, the decision stays human.
Certified quality, no "flying blind".
// THE GUARANTEE
Four commitments. All written in the contract.
Not a slogan: concrete points we expose ourselves to formally, in plain text, before signature.
Timeline defined before we start
There's a timeline in the contract. It's not "flexible" or "to be defined later".
Code only after mockup approval
We don't write a line until you've said yes to the navigable prototype.
Fixed cost, transparent change requests
Quote locked on the validated analysis. Modification requests are handled with a defined process, not surprise invoices.
Documentation delivered with the software
User manual, technical manual, release notes. In the package, no add-ons.
// LEGACY
Got a 10-20 year old system nobody wants to touch?
It's the gray zone of almost every Italian IT department: written by people no longer there, half-documented, and now untouchable. We approach it with a dedicated method.
Of IT budget spent maintaining existing systems
People who really know each critical legacy system
Up-to-date documentation in most cases
The risks we see most often
Rising maintenance costs
Every change takes three times the planned effort. You spend not to break, not to improve.
Single-person dependency
When the only person who really understands the system leaves, every change becomes a minefield.
Innovation blocked
You can't integrate new tools on a base nobody fully understands.
Security at risk
Outdated libraries, unpatchable dependencies, security audits impossible to close.
How we tackle it
We use AI to analyze the existing codebase even without documentation, reconstruct hidden business rules, generate the missing documentation, and design an incremental refactoring plan — module by module, without stopping production.
→Parliamone// DOCS & TESTS
What you usually pay extra for. With us, it's in the package.
Automated documentation
Functional documentation
Flows, rules, use cases, exceptions.
Technical manual
Architecture, API, data schema, integrations.
User manual
Operational guide for the people who'll use the system every day.
Changelog and release notes
Clear history of what changes in each release.
Tests from day one
- Unit tests on every component that deserves protection.
- Integration tests on critical end-to-end flows.
- Functional tests derived directly from validated analysis.
- Structured UAT before go-live, with written acceptance criteria.
- Coverage maintained on every release, not just at launch.
→ Concrete result: total cost of ownership in the three years after go-live drops significantly.
// CHECKLIST
Questions to ask before choosing a software vendor
They work with us and with anyone else. Print them, bring them to the meeting.
About the process
- 01.How do you concretely gather and validate requirements?
- 02.Do I get a navigable mockup before development starts?
- 03.Is there a defined process for handling change requests?
About code quality
- 01.Which code standards do you use? How do you enforce them?
- 02.Do you have automated tests? What kind? What coverage?
- 03.Do you do code reviews before every release?
About documentation
- 01.Are technical and functional docs included in the price?
- 02.How do you keep them up to date in the months after delivery?
- 03.Would an external developer understand the system starting from docs alone?
About continuity
- 01.If the original developer is unavailable, how do you handle continuity?
- 02.Is the code fully owned by the client across all components?
- 03.Is there a documented onboarding process for new developers?
If the answer you get is "it depends" or "we'll figure it out as we go", that's a signal worth noting.
Want to talk about it?
30 minutes of free conversation. If the problem is worth it, we'll propose how to tackle it. If we're not the right fit, we'll tell you immediately.