Solving hard problems with
code and data.
We build reliable machine learning systems.
No buzzwords, just engineering.
Engineering First
We treat machine learning as an engineering discipline. Our focus is on building robust, maintainable systems that run effectively in production environments, not just in a notebook.
Research & Application
We apply scientific rigor to real-world data problems. By understanding the mathematical foundations of the algorithms we use, we select the right tools for the job—whether that means a simple regression or a complex neural network.
Transparency
We believe in clear code and clear communication. You will always know exactly how your system works and why specific technical decisions were made.