Wakeline is developing AI systems that learn and adapt in real time, eliminating the need for periodic retraining. Its technology aims to enable continuously adaptive AI across sectors including energy, manufacturing, and research.
Düsseldorf-based Wakeline, a deeptech startup developing continuously adaptive AI systems, has raised €2.1 million in pre-seed funding. The round was led by Aachen-based TechVision Fonds (TVF), with participation from Cologne-based venture capital firm neoteq ventures.
Founded in 2025 by Tim Gülke, Jan Böggering, Simon Sprünker and Merten Tiedemann, Wakeline is building AI systems that learn during live operation rather than relying solely on historical data and periodic retraining. The company is developing an architecture designed to enable AI systems to continuously learn and adapt while they are being used.
Most AI models today are trained on historical datasets, deployed, and then updated at fixed intervals. While this approach has driven significant advances in the field, it also means that models are unable to learn autonomously from new information as it becomes available.
Wakeline’s technology seeks to overcome this limitation by integrating learning and deployment into a single, continuous process, allowing systems to remain connected to and adapt to their operating environment in real time.
The company’s architecture is inspired by biological learning principles and has been designed to operate independently of proprietary AI models and hyperscale cloud infrastructure. According to Wakeline, this enables AI systems to respond more effectively to changing conditions while maintaining greater technological independence.
The new funding will be used to further develop the platform, accelerate go-to-market activities, and expand the company’s team as it advances its technology across multiple industries.