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Anyone can promise. Here's what we did.

Hacked servers, bugs that hid for years, a backend deleted the night before a demo. Real cases, real numbers.

When it was on fire

When money was quietly leaking

When something new had to exist

Illustration: a flood of heavy framed photographs pours into a yellow press machine and flies out the other side as light image cards towards phones and laptops
DevelopmentScaling3 min read

20 million images a day. Smaller, faster, and nobody waits.

We built an image optimisation API backend for an international company, and we have run it ever since. Scaled to 20 million images a day, it compresses, converts, resizes, crops around the subject, and writes alt text with AI.

20 million images a dayRead the case
Illustration: a messy pile of paper pours onto a conveyor belt on the left, a big yellow machine processes it in the middle, and a single neat stack of identical pages comes out on the right with a yellow check mark on top
MFOIDevelopment2 min read

Tens of thousands of EU documents, in Hungarian in minutes

MFOI needed tens of thousands of EU grant and funding documents translated into Hungarian, in precise legal and financial language. We built an AI translation system trained for exactly this: nearly 100 times more cost-effective than a translation agency, and minutes instead of weeks.

~100× more cost-effective than an agencyRead the case
Illustration: a small truck at a barrier gate, a pole-mounted camera scanning it with a yellow beam, the barrier lifting on its own next to a yellow check mark; the guard booth is empty and a crossed-out access card lies on the ground
Development2 min read

No card, no guard: 1.2 seconds at the gate

A municipality serving over 400,000 residents ran access to dozens of sites with key cards, manual barriers and security guards. We built AI-based vehicle and personnel recognition: it decides in 1.2 seconds, with no access cards and no on-site guards.

1.2 s from camera to barrierRead the case
Illustration: a stream of blank picture frames flies from the left into a big yellow lens, and comes out on the right sorted into four yellow trays, each showing a different simple shape: a circle, a triangle, a square and a face
DevelopmentScaling2 min read

Millions of images a day, recognised in under a second

A growing enterprise's image recognition service buckled at peak times. We built a horizontally scaling API: it processes millions of images a day with sub-second response times, and handles 10x traffic spikes without manual intervention.

10× traffic spikes, no manual interventionRead the case

For us, IT isn't work, it's our passion. It's what gets us up in the morning.

Which of these sounds like yours?

How can we help? We reply within one business day, and in an emergency we step in within 5 hours.

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