Whether you're looking to bring Deeplify into your operations or build the
future of industrial AI with us, we'd love to hear from you.
About
Making critical industry asset integrity smarter, faster, and safer.
Deeplify exists to bring intelligence into the parts of industry where it matters most. The company was born from a simple but unsettling observation: while modern AI is everywhere, safety-critical heavy industries still rely on fragmented, manual, underdeveloped integrity workflows. What drives the team is not novelty, but consequence.
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our story
Deeplify started not with a product idea but with a problem discovered in the field.
Working closely with an NDT provider, our founders saw that defect detection was just one piece of a broken workflow plagued by fragmented data, manual handovers, and disconnected systems. The industry didn’t need another point solution. It needed an intelligence layer engineers could trust. Deeplify was founded to build it.
We started with inspection, the most fragmented and consequential data source in asset integrity, and built a platform that reaches down to the raw data. We’ve since signed demanding operators across European oil, gas, and energy. Now we’re building the industry’s first Asset Integrity intelligence layer, one that connects every data source, automates the groundwork, and puts better decisions in the hands of engineers.
our principals
We communicate with technical clarity and build with exactness. In safety-critical environments, approximate is not good enough.
We build for real-world consequences, not demonstrations. Every capability we ship has to work when it matters most.
We believe AI in high-consequence environments must be transparent, traceable, and accountable. Human authority is never optional.
We stay grounded in real operations, real workflows, and real engineering judgment. We earn credibility through depth, not claims.
We build to connect and extend existing systems - not to create dependency or lock-in. Our customers' infrastructure is theirs.
what makes us different
Our AI models are trained on real inspection workflows, not generic data.
Deeplify brings together AI researchers and engineers who have spent years building production-grade machine learning systems with domain experts who have worked directly inside NDT service providers, asset integrity programs, and industrial operations. That combination is not common, and it is not accidental.
It means our AI models are trained on real inspection workflows, not generic data. It means our platform understands the difference between a plausible corrosion rate and an implausible one, because the people who built it have spent time reviewing those decisions in the field. And it means we build for consequence, not convenience.
backed by the best
We are supported by investors who understand both the technology and the industry.
Our research agenda reflects our commitment to advancing the science behind what we build. We are active participants in three publicly funded research projects alongside leading German and European research institutions.
Our backers have deep roots in industrial technology and AI, and we contribute directly to developing the AI standards that will govern NDT use cases across the industry.
