Co-Founder & CTO @ AI Model Efficiency Engine Venture, Berlin
This is an Atlantic portfolio venture.
About the Venture
AI models have moved faster than most companies’ ability to put them to work. The capabilities are there; knowing how to combine them effectively is still catching up.
Frontier labs naturally put their own models first. Companies often follow suit, asking one general-purpose model to handle ten very different jobs. We believe there is far more to unlock in the models that already exist, even before the next generation arrives. That is the opportunity we are building around.
We bring closed providers and open-weight models together behind a single API. With no proprietary model to promote, we can choose the right combination for the task. Our engine breaks requests into their component parts, routes each to the right model within a cost budget, fine-tunes on customer data and checks the result against agreed quality standards. Think ten specialists working on ten pieces, rather than one generalist carrying the whole task.
Lower costs matter because of what they make possible: giving a small team the freedom to build something that would previously have required a much larger one.
Our founder was selected for Slush 20 Un
