4A LABS AI
rocket_launchSTARTUP AI

It works in the demo.
Now come the
real users.

You shipped a product in a few weeks with AI and it does the job. The problem is that nobody knows where it breaks when the first real wave of users arrives. We take the codebase over, audit it, harden it and launch it.

START A PROJECTarrow_forwardTHE PROCESS
fact_check Audit first, proposal secondrecycling We do not force a rewritepayments Costs brought under control
Two stacks of blocks: a cracked, fragile one and the same stack rebuilt solid with glowing edges.
search

STEP 1

Technical audit report

healing

STEP 2

Repairing the fragile parts

science

STEP 3

Tests and monitoring

rocket_launch

STEP 4

Launch

A tangle of glowing data blocks, one of them red, flowing into a neat stack of database cylinders.

Representative scene.

DATA

Data and State

Fast code usually skips the data model. We design it after the fact, clean up inconsistent records and add migrations and backups before real users arrive.

  • databaseA data model that was never designed up front
  • check_circleHalf-finished transactions and inconsistent records
  • check_circleNo migration plan
  • check_circleNo backup or rollback scenario
A laptop at night with a glowing padlock above the keyboard and a red key lying exposed next to it.

Representative scene.

SECURITY

Security and Access

Quick prototypes leave keys in the code and checks only in the interface. We move authorisation to the server, rotate secrets and close the gaps an audit would find.

  • lockLoosely built authentication
  • check_circleAuthorisation enforced only in the interface
  • check_circleKeys and passwords left in the code
  • check_circleMissing input validation
A server corridor with a glowing line above the racks that falls and then levels out.

Representative scene.

COST

Cost and Scale

Unmeasured model calls and a single server get expensive fast. We measure spend, right-size models, add caching and monitoring so costs stay flat as users grow.

  • paymentsUnmeasured model and infrastructure spend
  • check_circleUnnecessarily large models
  • check_circleNo caching at all
  • check_circleA single-server architecture that folds under load
A developer seen from behind at night in front of an out-of-focus monitor; two lines on the screen glow red.

Representative scene.

AUDIT FIRST

We Read the Code Before We Propose Anything

The first deliverable is not a quote, it is a report. We go through the codebase, the data model and the infrastructure, and mark which parts are fragile and why.

  • searchCodebase, data model and infrastructure reviewed
  • reportFragile parts marked in priority order
  • recyclingWhat stays and what gets rewritten, with reasons
  • descriptionA written report you keep, whatever you decide
THE PROCESS

From Takeover to Launch

01

Technical Audit

Codebase, data model and infrastructure are reviewed; what stays and what gets rewritten — in a report.

02

Hardening

Data model, authentication and error handling are repaired in priority order.

03

Tests and CI/CD

Critical flows get test coverage; automated deployment and rollback go in.

04

Cost and Monitoring

Model and infrastructure spend is measured and reduced; error and performance monitoring is switched on.

05

Launch

Go-live, and staying with you through the first wave of users.

fact_check

We do not open by throwing everything away.

The audit report states what stays and why anything needs rewriting, with the reasoning. The decision is yours.

START A PROJECTarrow_forward
A small team seen from behind in a dark room, watching a large screen with a rising curve.

Representative scene.

LAUNCH

We Stay With You Through the First Wave

Going live is not the finish line. When the first real users arrive, monitoring shows errors and slowdowns before your customers do, and we are there to fix them.

  • monitoringError and performance monitoring in place before launch
  • paymentsModel and infrastructure costs measured and capped
  • undoAutomated deployment with rollback
  • support_agentOn call through the first wave of users
WHO THIS IS FOR

The Team Typically Reading This Page

bolt

A Fast MVP

A product shipped with AI in a few weeks; first customers have arrived and the team fears breakage.

group_add

Before a Raise

Getting the codebase in order ahead of technical due diligence.

person_off

The Developer Left

The person who wrote the product is gone and nobody knows the whole codebase.

speed

Hitting the Scale Wall

A system that slows down as users grow, with unpredictable costs.

security

A Security Question

A customer or an audit asked security questions and the answer is not ready.

flag

Launch Date Approaching

The launch is close and nobody is sure whether it is production-ready.

FAQ

Frequently Asked Questions

Do you rewrite our codebase from scratch?

expand_more

No. The technical audit report states what stays and what needs rewriting, with the reasoning. The decision is yours.

What does the technical audit cover?

expand_more

The codebase, the data model and the infrastructure: data consistency, security and access, cost and scaling risks, ranked by priority.

Do you stay after launch?

expand_more

Yes. Monitoring is set up before go-live and we stay with you through the first wave of real users.

Let us look at your codebase.
We will come back with a report.

The first step is a technical audit: what stays and what needs rewriting, with the reasoning.

  • check_circle The first call is free and technical
  • check_circle We start under NDA
  • check_circle Scope and price are clear up front

PROJECT REQUEST FORM