Wakeline announced that it has closed a €2.1 million pre-seed funding round. The round was backed by TechVision Fonds and neoteq ventures.
Wakeline is developing AI systems designed to keep learning after deployment. The company is focused on addressing what it sees as a major limitation in how AI systems are typically built: many models are trained once, deployed, and then remain fixed while the environments around them continue changing.
The company’s approach is based on making learning a continuous process rather than a separate development phase. Wakeline said its systems are designed to keep learning inside the environments where they operate, enabling training and application to become part of the same real-time loop.
The funding gives Wakeline additional capital to advance its technology and continue building systems that adapt after deployment. The company said the round validates the conviction behind its platform and provides a foundation for its next stage of development.
KEY QUOTES:
“The conviction is simple: Almost every AI system in use today stops learning the moment it is deployed. It is trained once and then frozen in place, while the world it runs in keeps moving. Learning that continues after deployment is the missing half of AI, and it is the half we are building. Our systems keep learning inside the environments where they operate, so that training and application are no longer separate phases. Learning becomes something that happens in real time.”
Wakeline statement
