Deeplify Secures €2M to Revolutionize Critical Infrastructure Inspections with AI
By Satoshi Itamoto • 2026-03-30T08:02:00.069922
In a significant development, deeplify, a Bochum-based industrial AI startup, has raised €2 million in a pre-Seed round to transform the way critical infrastructure is inspected and managed. This funding, led by D11Z Ventures, with participation from Vanagon Ventures, EWOR, and strategic business angels, underscores the importance of modernizing the inspection process. The traditional method, which relies heavily on Excel-based workflows, scattered PDFs, analogue imagery, and manual reporting, is not only inefficient but also poses severe safety risks due to potential unseen defects.
The founders of deeplify, Jan Löwer, Christoph Siemer, and Felix Asanger, bring a unique combination of industry expertise and understanding of customer challenges. Löwer's background in physics and experience in developing AI solutions for Non-Destructive Testing (NDT), Asanger's expertise in AI and machine learning, and Siemer's decade-long experience in the energy sector, position deeplify to tackle the long-standing issue of outdated inspection methods.
The problem deeplify aims to solve is pressing, especially considering Europe's chemical industry, which comprises around 31,000 companies, many operating ageing infrastructure. The retirement of experienced inspectors at a faster rate than new specialists are entering the field, coupled with the increasing volume and complexity of inspection data, exacerbates the issue.
Deeplify's solution is an end-to-end AI platform designed for industrial inspection and asset integrity management. This platform links the entire workflow, from raw sensor data and imagery to automated defect analysis and fully auditable reports, promising to significantly reduce conventional inspection time and reporting errors. With plans to expand the platform's infrastructure and accelerate deployments across key sectors, deeplify's impact could be substantial.
The implications extend beyond the industry itself, potentially affecting everyday users through improved safety standards and more efficient operations. For businesses, adopting such technology could mean significant cost savings, reduced downtime, and enhanced compliance with safety regulations. From an industry perspective, this shift could reshape how critical infrastructure inspections are conducted, moving away from manual, error-prone methods towards more digital, AI-driven approaches.
As deeplify moves forward with its first product customer, Open Grid Europe, and pilots with major industry players like SKF, the company is poised to make a significant mark on the future of industrial inspections. With the potential to reduce inspection time by up to 70% and decrease reporting errors by 66%, deeplify's technology could set a new standard for safety and efficiency in critical infrastructure management.
The funding will be crucial in supporting deeplify's mission to bring critical infrastructure inspections out of the Excel era, a mission that could have far-reaching consequences for industries reliant on such infrastructure. As the company expands its operations and deploys its technology more widely, it will be interesting to see how the landscape of industrial inspections evolves. For now, deeplify's innovative approach and significant funding round mark an important step towards a more modern, efficient, and safe inspection process.
The founders of deeplify, Jan Löwer, Christoph Siemer, and Felix Asanger, bring a unique combination of industry expertise and understanding of customer challenges. Löwer's background in physics and experience in developing AI solutions for Non-Destructive Testing (NDT), Asanger's expertise in AI and machine learning, and Siemer's decade-long experience in the energy sector, position deeplify to tackle the long-standing issue of outdated inspection methods.
The problem deeplify aims to solve is pressing, especially considering Europe's chemical industry, which comprises around 31,000 companies, many operating ageing infrastructure. The retirement of experienced inspectors at a faster rate than new specialists are entering the field, coupled with the increasing volume and complexity of inspection data, exacerbates the issue.
Deeplify's solution is an end-to-end AI platform designed for industrial inspection and asset integrity management. This platform links the entire workflow, from raw sensor data and imagery to automated defect analysis and fully auditable reports, promising to significantly reduce conventional inspection time and reporting errors. With plans to expand the platform's infrastructure and accelerate deployments across key sectors, deeplify's impact could be substantial.
The implications extend beyond the industry itself, potentially affecting everyday users through improved safety standards and more efficient operations. For businesses, adopting such technology could mean significant cost savings, reduced downtime, and enhanced compliance with safety regulations. From an industry perspective, this shift could reshape how critical infrastructure inspections are conducted, moving away from manual, error-prone methods towards more digital, AI-driven approaches.
As deeplify moves forward with its first product customer, Open Grid Europe, and pilots with major industry players like SKF, the company is poised to make a significant mark on the future of industrial inspections. With the potential to reduce inspection time by up to 70% and decrease reporting errors by 66%, deeplify's technology could set a new standard for safety and efficiency in critical infrastructure management.
The funding will be crucial in supporting deeplify's mission to bring critical infrastructure inspections out of the Excel era, a mission that could have far-reaching consequences for industries reliant on such infrastructure. As the company expands its operations and deploys its technology more widely, it will be interesting to see how the landscape of industrial inspections evolves. For now, deeplify's innovative approach and significant funding round mark an important step towards a more modern, efficient, and safe inspection process.