MVP Build
From concept to launched product. Spec, design, build, deploy. Enterprise AI models in the workflow from day one.
- From £15,000
- 8 to 14 week build
- Hosting and CI/CD included
Services
Software built with enterprise AI under real engineering discipline.
Spec-driven platforms and SaaS products, built with Claude and Copilot under proper engineering discipline. CI/CD, security scanning, and a team that stays after launch.
Why build with Netix
AI accelerates. Engineers decide.
Most agencies use consumer AI tools to cut corners. We embed enterprise models (Claude, Copilot) into a disciplined development workflow: written specs, code review on every line, automated security scanning, and CI/CD from commit one.
You get software that ships faster without the quality trade-off. Every feature is specced before it is built, tested before it ships, and monitored after it launches.
100%Spec coverage
0Known vulns at the launch gate
CI/CDFrom commit one
ClaudeOn enterprise terms
How we build software
Spec. Build. Test. Ship.
Spec-driven, enterprise AI in the loop, every commit tested and scanned
How we build See what we have built
Enterprise AI inside a proper engineering workflow.
AI writes the first draft. Engineers review, test, and ship. Every commit is scanned, every feature is specced, every deploy is automated.
Build
- Written spec before every feature
- Enterprise Claude and Copilot models
- Code review on every line, AI or human
- Automated test suites from day one
Ship
- CI/CD pipeline from first commit
- SAST and dependency scanning in CI
- Staging mirrors production exactly
- Go-live checklist, no surprises
Pipeline green CI
Build passed. SAST clean. 0 vulnerabilities. Dependency audit clear. Ready to deploy.
Security scan results, last 10 deploys
0 / critical
Process
Six steps, from spec to ship.
Every engagement follows the same rails. AI accelerates the build, not the corners.
- 01
Discovery and Scoping
Requirements workshop, technical feasibility, architecture decision record. Scope locked before a line of code.
- 02
Spec-Driven Design
Written specification before implementation. Figma for UI, data model diagrams, API contract definitions. Approved before build.
- 03
AI-Assisted Build
Enterprise Claude and Copilot models embedded in the development workflow. Every line reviewed. AI accelerates, engineers decide.
- 04
CI/CD and Security Scanning
Automated pipeline from commit one. Dependency scanning, SAST, container scanning. Vulnerabilities caught before they ship.
- 05
UAT and Launch
Staging environment mirrors production. User acceptance testing, performance benchmarks and a go-live checklist, all signed before launch.
- 06
Ongoing Evolution
Retainer sprints, feature requests, monitoring, dependency updates. The codebase stays healthy after launch.
Three paths
Pick the engagement that fits.
Every engagement begins with a free discovery call so you can pressure-test the recommendation.
Platform Extension
Add features, integrations, or rebuild a subsystem on an existing product. Scoped, specced, delivered.
- From £5,000
- Scoped per engagement
- Security review included
Retained Development
Ongoing monthly sprints. Dedicated capacity, shared backlog, CI/CD maintained. The team that built it keeps it healthy.
- From £3,500/mo
- Dedicated capacity
- Monthly reporting
Table stakes
Everything below is included. Every time.
We do not charge extra for the practices that should never have been optional.
Spec-Driven Development
Every feature starts as a written spec, so scope is agreed before code exists and nobody ends up saying "that is not what I meant."
- Written and agreed before we build
- Scope agreed before code exists
- You approve the plan, not a surprise
Enterprise AI Models
Claude and Copilot on enterprise terms: your code stays out of consumer training data, and the models work across the whole codebase rather than one prompt at a time.
- Models with proper data handling
- Your data is not training anyone
- Governed access, logged usage
Security Scanning
SAST, dependency audit and container scanning, running inside CI on every commit.
- SAST and dependency audit every push
- Container scanning before release
- Build fails rather than ships a hole
Automated Testing
Unit, integration, and end-to-end tests. Coverage targets agreed at scoping. Regressions caught before deploy.
- Unit, integration and end-to-end
- Targets set before we start
- Regressions caught by machines
Monitoring and Observability
Logging, error tracking, uptime monitoring from day one. You know what your platform is doing.
- Logging and error tracking from launch
- Uptime monitored externally
- You hear it from us first
Ongoing Retainers
Monthly sprints, bug fixes, feature work. The team that built it maintains it.
- Monthly sprints, not ad-hoc chaos
- Bug fixes and feature work together
- No handover to strangers
FAQ
Common questions about software development.
What does AI-assisted development actually mean?
AI writes the first draft of the code against a written specification; engineers review it, test it and decide what ships. We use enterprise Claude and GitHub Copilot under commercial terms, so your code and data are not used for training, and every line still goes through the same review, scanning and CI pipeline as hand-written code.
How do you keep the code secure?
Every commit is scanned for vulnerabilities and secrets before it can merge, dependencies are checked automatically, and nothing reaches production with a known vulnerability open. Security is a gate in the pipeline, not a review at the end.
Who owns the code and the intellectual property?
You do. Source lives in a repository you have access to from day one, with the specs, tests and deployment configuration alongside it. If you ever want to take it in-house or to another team, there is nothing to unpick.
How long does an MVP take?
Most MVPs go from signed scope to a working product in users' hands within eight to twelve weeks. The first two of those are discovery and specification, which is where the time saved later actually comes from.
What happens after launch?
Either a retained development arrangement with a fixed monthly allowance for new features and improvements, or a support-only agreement covering monitoring, patching and fixes. Both are optional; the platform is built so that it runs without us if you want it to.
Free · no slide deck
Have a platform in mind?
30 minutes with a developer and an architect. We will look at what you need, what is realistic, and give you a rough budget and timeline before you commit to anything.