deeplify raises 2 million euros for AI-supported industrial inspections

The German industrial AI startup deeplify has closed a pre-seed financing round of 2.0 million euros. The round is led by D11Z Ventures. Other investors include Vanagon Ventures, EWOR and several strategic business angels.

The company intends to use the fresh capital to further develop its platform and accelerate its introduction to industrial customers in Europe.

Digitalization of safety-critical processes

deeplify develops AI software for inspection processes in safety-critical industries such as energy, chemicals and infrastructure. The aim is to digitize previously fragmented and often still analogue workflows.

In many companies, inspections are still based on Excel spreadsheets, PDFs, image data and manual reports. The deeplify platform bundles these data sources and integrates defect analysis and reporting into an end-to-end auditable process.

Significant efficiency gains through AI

According to the company, the use of artificial intelligence can lead to significant efficiency gains. Inspection times can be reduced by up to 70 percent, while errors in reporting are reduced by around 66 percent.

In concrete terms, this means that tasks that previously required around ten hours of manual evaluation can be completed in around three hours using the platform.

First customers and pilot projects

A key milestone is the first product customer: Open Grid Europe, Germany's largest transmission system operator. Pilot projects are also underway with SKF. In addition, the solution is already being used by several inspection companies in the energy sector.

The founding team combines technological expertise with practical industry experience. CEO Jan Löwer is a physicist and previously built up a data science agency. COO Christoph Siemer has over ten years of experience in the oil and energy sector at BP. CTO Felix Asanger has a background in robotics, AI and computer vision with stints at the Technical University of Munich and ETH Zurich.

Critical infrastructure

With its approach, deeplify addresses an area that has been severely under-digitized to date, but at the same time is of central importance for the security of modern infrastructure. The combination of AI, data integration and automated reporting should help to make industrial testing processes more reliable, faster and more transparent in the long term.