NexalinxNexalinx
AI & no-code → real software

AI can build a prototype. We make it production-ready.

You built something in Bolt, Lovable, v0, Replit or Bubble, and it works well enough that people want to use it. That's a genuine achievement — and also the exact point where prototype tooling stops being an asset and starts being a liability.

Sounds familiar?

  • The prototype works, but you can't put real customer data in it
  • Costs climb steeply as usage grows
  • You can't pass a security review or a customer questionnaire
  • It breaks in ways nobody can debug or explain
  • You're locked into a platform you can't export from
  • Every new feature is now a workaround on a workaround

If two or more apply, the discovery call is worth 45 minutes.

Your prototype
is the best brief
6–12 wks
typical hardening
Zero
platform lock-in after
100%
code & IP yours
Why it matters now

What waiting actually costs

Every one of these gets more expensive the longer it runs. That's the whole argument for acting this quarter rather than next.

A ceiling you'll hit anyway

Prototype platforms are excellent at proving an idea and poor at carrying it. The migration isn't avoidable — only delayable, at increasing cost.

Security you can't evidence

Auth, access control, data isolation and audit logging are where prototypes are thinnest, and exactly where your first serious customer will look.

Ownership you don't have

If the platform disappears, changes pricing or throttles you, a product you can't export is a business you don't fully control.

Our approach

How we solve this

The same path every time, so you always know which step you're on and what it produces.

  1. 01

    Prototype review

    We go through what you've built — flows, data model, integrations — and identify what to carry over and what was a platform workaround.

  2. 02

    Migration plan

    A phased path off the platform: what gets rebuilt first, what runs in parallel, and how users move across without an outage.

  3. 03

    Rebuild the foundation

    Real database, real auth, real API, proper access control — with your proven flows and UI preserved rather than reimagined.

  4. 04

    Harden it

    Security review, load testing, error tracking, automated tests on critical paths, and CI/CD so releases stop being events.

  5. 05

    Cut over & extend

    A staged switch with rollback, then the features the prototype could never support — on a codebase that can carry them.

What you get

Concrete deliverables

  • Assessment of the prototype: keep, rebuild, discard
  • Phased migration plan with no big-bang cutover
  • Production codebase in your repository
  • Proper auth, roles, data isolation and audit logging
  • Automated tests, CI/CD and monitoring
  • Data migration with verification and rollback
The result

Business outcomes

  • 01

    A product that survives real users, real data and real scale

  • 02

    Security answers you can put in front of an enterprise buyer

  • 03

    Predictable infrastructure cost instead of per-seat platform pricing

  • 04

    Complete ownership — no platform can switch you off

The way in

Start here, not with a contract

A small, fixed first step that gives you something useful whether or not you continue with us.

Fixed price1 week

Production-Readiness Review

A structured read of your prototype against what production actually demands, with a phased plan and a costed route off the platform.

Book a Discovery Call

Prototype & data model review

Security and scale gap analysis

Phased migration plan

Costed timeline to production

Questions

What people ask in this situation

Straight answers. If yours isn't here, bring it to the call.

See how we deliver
Was building the prototype a waste of money?

The opposite — it's the most valuable brief a client can arrive with. It shows exactly what you want, has usually been tested on real people, and removes most of the ambiguity that makes early scoping expensive.

Can you keep the design we already have?

Usually yes, and we'd encourage it if users respond well to it. We rebuild the foundation underneath and preserve the interface, tightening it rather than restarting.

Do we have to migrate everything at once?

No, and we'd advise against it. The normal path runs the prototype and the new system in parallel, moving one area at a time with rollback available at each step.

Do you use AI tools yourselves?

Heavily — internally, to move faster. The difference is what happens after generation: architecture review, tests, security and someone accountable for the result. The tool isn't the problem; shipping its raw output is.

Let's build

Get 3 AI & product ideas for your business — free.

Book a discovery call or get an MVP blueprint. No pressure, no jargon — just a clear plan for your idea, workflow or product.

Prefer email? hello@nexalinx.com