German industrial AI startup deeplify has raised €2 million in a pre-seed funding round aimed at reshaping how critical infrastructure is inspected and maintained. At a time when industries handling high-risk assets continue to rely on outdated systems, the company is positioning itself as a key player in bringing automation, accuracy, and intelligence into inspection workflows.
Strong Investor Backing Signals Industry Confidence
The funding round was led by D11Z Ventures, with participation from Vanagon Ventures, EWOR, and several strategic business angels. This diverse group of investors reflects growing confidence in the role of artificial intelligence within industrial operations, particularly in sectors where safety and reliability are critical.
The capital injection will allow deeplify to accelerate product development and expand its reach across industries such as energy, oil and gas, chemicals, and transportation. These sectors are increasingly under pressure to modernise infrastructure management while maintaining strict safety standards.
Addressing a Critical Gap in Industrial Operations
Despite rapid advancements in AI-driven productivity tools and digital services, many industries responsible for maintaining essential infrastructure still operate with fragmented and outdated inspection processes. Workflows often depend on spreadsheets, static documents, analogue images, and manual reporting methods.
This gap creates significant risks. Undetected defects in pipelines, machinery, or structural components can lead to costly failures and safety hazards. According to deeplify’s leadership, the contrast between modern software capabilities and legacy inspection practices is striking.
Jan Löwer, co-founder and CEO, emphasised that while digital innovation has transformed many sectors, critical infrastructure inspections remain stuck in the past. This disconnect highlights the urgent need for integrated, intelligent solutions.
AI-Powered Platform for End-to-End Inspection
To tackle these challenges, deeplify has developed a comprehensive AI platform designed specifically for industrial inspection and asset integrity management. The system connects the entire workflow, from raw sensor data collection to automated defect detection and reporting.
By replacing disconnected processes with a unified platform, deeplify enables companies to significantly reduce inspection times while improving accuracy and traceability. The platform also ensures that inspection results are auditable, a key requirement in highly regulated industries.
Its capabilities include advanced data processing, automated analysis, and seamless reporting, allowing inspectors and engineers to make faster and more informed decisions. This shift not only enhances efficiency but also reduces human error in critical evaluations.
Built on Real-World Industrial Experience
Unlike many purely theoretical AI solutions, deeplify’s platform has been shaped by direct industry experience. Early deployments uncovered substantial inefficiencies in traditional inspection workflows, guiding the development of practical, scalable solutions.
The company initially implemented its technology with Open Grid Europe, gaining valuable insights into infrastructure inspection challenges. This was followed by pilot projects with SKF, further refining the platform’s capabilities.
Today, deeplify’s technology is also used by inspection firms working with major global energy companies such as Shell, demonstrating its relevance and effectiveness in demanding industrial environments.
Scaling Across Industries
With fresh funding in place, deeplify plans to expand its platform’s functionality and accelerate adoption across multiple sectors. As Europe’s chemical industry alone consists of approximately 31,000 companies facing ageing infrastructure and a shortage of skilled inspectors, the demand for intelligent inspection solutions is rapidly increasing.
By combining AI with domain-specific expertise, deeplify aims to modernise how critical assets are monitored and maintained. Its approach represents a broader shift toward digital-first industrial operations, where data-driven insights replace manual processes.
As industries continue to grapple with complexity, safety requirements, and workforce challenges, deeplify’s technology could play a pivotal role in defining the future of infrastructure inspection.