AWS

Before adding AI capabilities, most organizations need to fix their data layer, event infrastructure, and API design. The foundations matter more than the model.

After building serverless platforms processing hundreds of thousands of messages per second, the real lessons are not about Lambda. They are about organizational design.

A legacy telematics platform was folding under load. We rebuilt the ingest layer on serverless primitives. Cost held flat through 3x traffic growth. Here's what that took.

Every architectural choice in the cloud carries business implications. Most technical teams know this in the abstract and ignore it in practice.

The Deutsche Fußball Liga wanted broadcast-grade real-time insights during matches. We built the platform that scores match moments in under two seconds of latency, for every live broadcast.

AWS Professional Services EMEA had serverless knowledge concentrated in four people. Every deal needed one of them in the room. We fixed the structural problem instead of the staffing symptom.

An enterprise customer needed multi-account security posture management but had no product budget. The solution we built for them ended up adopted by ten or more Fortune 500 organizations across industries.