deeplify has secured $2.3 million in a pre-seed funding round led by D11Z. Ventures, with participation from Vanagon Ventures and EWOR, to advance its AI-driven platform for industrial inspection and asset integrity management.
The investment is aimed at accelerating the development and deployment of an integrated inspection solution designed to replace fragmented, manual workflows widely used across infrastructure-heavy industries. Many sectors responsible for critical assets continue to rely on spreadsheets, static documentation, and manual reporting, creating operational inefficiencies and risks in safety-critical environments.
Deeplify’s platform connects inspection workflows end-to-end, integrating sensor data, imagery, automated defect detection, and reporting into a unified system. The approach aligns with ongoing industry efforts to enhance non-destructive testing (NDT) processes through digitalization and data-driven analysis.
The company reports that its system can reduce inspection time by up to 70 percent and lower reporting errors significantly, while providing full digital traceability for inspection activities. These capabilities are intended to support improved asset integrity management and more efficient decision-making in industries managing aging infrastructure and increasing inspection demands.
The platform has already been deployed in industrial settings, including an initial project with Open Grid Europe and pilot programmes with SKF. It is also being used by inspection firms serving energy sector operators such as Shell.
The solution was developed based on operational insights identified by CEO Jan Löwer, who recognized inefficiencies in conventional inspection and reporting processes. The platform is positioned to address challenges such as workforce shortages, increasing data complexity, and the need for more reliable inspection outcomes.
Tom Villinger, CEO of D11Z. Ventures, highlighted the founding team's industry expertise and their focus on developing proprietary technology for a safety-critical sector that remains under-digitized.
The newly raised capital will be used to strengthen the platform’s infrastructure and expand its adoption across sectors including energy, oil and gas, chemicals, and transportation. The funding reflects growing interest in AI-enabled inspection solutions as industries look to modernize non-destructive testing workflows and improve operational efficiency in asset-intensive environments.
