Bringing intelligence into the parts of industry where it matters most.
deeplify was born from a simple but unsettling observation: while modern AI is everywhere, safety-critical heavy industries still rely on fragmented, manual integrity workflows. Not because the engineers aren’t good enough — because the tools never caught up. We started with inspection, the most fragmented and most consequential data source in asset integrity, and built a platform that goes all the way down to the raw data level. We’re now building toward what the industry has never had: a fully capable Asset Integrity AI Co-pilot that connects every relevant data source, automates the groundwork, and puts better decisions in the hands of the engineers who carry the consequences.
Our Management Team
Felix started as a mechanical engineer before going deep into AI — always with one motivation: applying new technology where it creates real-world impact. He spent years building end-to-end AI solutions for industrial quality inspection, then founded his own software company. At deeplify, Felix leads Product, Tech & Research.
Jan Löwer
Co-Founder & CEO
Jan started as a data scientist and AI engineer building AI software for NDT applications. Working inside industrial inspection workflows shaped a clear conviction: the technology to transform inspection and integrity processes existed — what was missing was a company willing to rethink the entire workflow from the ground up. At deeplify, Jan leads Company Strategy and translates customer challenges into product direction.
Christoph Siemer Co-Founder & COO
Christoph spent 11 years inside BP — in strategy, planning, and business development — watching integrity engineers spend most of their time doing something that wasn’t engineering. He left a senior corporate career convinced the gap between fragmented industrial data and confident integrity decisions was one worth closing. At deeplify, Christoph leads Business Development & Operations.
Our Product Philosophy
We build from exact context, exact evidence, and exact workflows — not approximations. In safety-critical environments, ambiguity compounds into risk.
We connect to the systems you already run instead of replacing them — so teams adopt intelligence without lock-in.
Team
Builders
Doers
