Wakeline lands €2.1M to bring continuous learning to AI

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.