AI-built software
We review and fix the database your team designed with AI, so it does not go down the day real customers arrive.
Book a meeting100+
control points, at least
46%
AI proofs of concept scrapped before production
S&P Global Market Intelligence, 2025$12.9M
minimum average yearly cost of poor data quality per organization
Gartner, 2025With test data, everything answers instantly. That is the model. With thousands of customers and years of data, the cracks appear.
Queries that take seconds because an index is missing
Indexes that take up disk and nobody uses
Connections that run out at peak
Queues with messages nobody consumes
Shall we talk about your case?
A 30-minute meeting to see what you have and what to review first.
A slow database is felt on every screen, and an outage stops the whole business. It almost always warns you first, if someone is watching.
Find the bottleneck before the peak.
Memory and disk sized to real usage.
A schema aligned with what the code expects.
What we do
What you receive
Review a new system once before it ships, or keep everything under control every three months.
Before production
Send the app, website or database you built with AI and get every gap with its fix before you deploy.
Every three months
We review your code, servers and data platforms each quarter: broken flows, idle users and costs.
We review PostgreSQL, MySQL, Redis and compatibles (Valkey, Dragonfly, KeyDB), Elasticsearch or OpenSearch, and RabbitMQ.
No. The review changes nothing in your databases. Fixes are applied afterwards, and only with your approval.
Before going to production and every three months, because data grows and new queries change what the engine needs.
Tell us what worries you. In the meeting we explain how we solve it.