Before production
Review a new system
Send the app, website or database you built with AI and get every gap with its fix before you deploy.
- One-time review
- Security, database and performance
- Fix plan before go-live
Review of AI-built software and control of data platforms We review and fix the software your team built with AI. And the leaks in your data platforms.
Ten services in two groups. Each has its own page: what we do, why it matters and what you receive.
Book a meetingAI-built software
Mobile app review
Flutter apps built with AI, tested on real iOS and Android devices by command and by touch, together with their backend.
More than 125 control pointsWebsite review
Websites built with AI or vibe coding: security, performance, accessibility and search visibility, measured on the rendered page.
More than 125 control pointsBackend review
The API and server behind your app or website: what it exposes, what it protects, the headers it serves and what ends up in its logs.
More than 20 control pointsDatabase structure review
Redis, PostgreSQL, MySQL, Elasticsearch and RabbitMQ: structure, indexes, slow queries, locks and connections.
More than 100 control pointsDeployment server study
The server where your system will run, reviewed before deployment: who can access it, what runs on it and which limits break as it grows.
More than 80 control pointsInfrastructure monitoring
The Linux machines where your system runs, measured every few seconds, so a full disk or a stopped container shows up before users notice.
More than 60 control points
Data platforms
Salesforce controller
Automations that fail in silence, users who left and licenses still paid for in your Salesforce org.
Microsoft Fabric controller
Pipelines that feed reports with stale or broken data, and capacity paid for but not used.
Databricks controller
Jobs that fail quietly, clusters that cost more than they deliver and users who no longer need access.
Power BI controller
Reports built on stale or broken data, refreshes that fail and licenses assigned to people who no longer use them.
Two ways to work with us
Review a new system once before it ships, or keep everything under control every three months.
Every three months
Keep it all under control
We review your code, servers and data platforms each quarter: broken flows, idle users and costs.
- Quarterly review
- Broken data flows and unused licenses
- Before and after report each quarter
Book a meeting
Tell us what worries you. In the meeting we explain how we solve it.
Frequently asked questions
What is the AI Controller?
The AI Controller is a technical review of the systems your team builds with AI and of the data platforms your business runs on. It checks code, databases, servers, data flows, users and licenses, and it repeats every three months.
Why review code written by AI before production?
AI writes working code quickly, but it does not know your security rules, your data volume or your infrastructure. Exposed keys, missing indexes and errors that fail silently are cheaper to close before users find them.
Is this an audit?
No. It is a technical review and control of your systems, not a legal, financial or compliance audit. We check how the systems work and tell you how to fix what does not.
Why every three months?
Because the systems keep changing: new code ships, new pipelines and workflows appear, and people join and leave. A quarterly control catches broken flows and unused licenses before they add months of wrong data or wasted cost.
What is a silent broken data flow?
A silent broken data flow is a pipeline, workflow or refresh that stops working without raising an alert, so dashboards keep showing numbers that are old or wrong. Decisions are then made on data nobody knows is broken.
How do unused licenses cost money?
People who stopped using Salesforce, Power BI, Fabric or Databricks, or who left the company, often keep a paid license. The controller lists them every quarter so you can remove or reassign them.
Do you review systems built by junior developers?
Yes, and that is where the review helps most. AI lets less experienced developers ship larger systems, and the gaps grow with the system. The review turns them into a plan the team can follow.
Which countries and languages do you work in?
We work with companies in the United States, Europe and Latin America, in English, Spanish, Portuguese, German and French.