Valuable ML developers are spending up to 30% of their time manually monitoring and retraining their models in production. This type of work is critical but considered routine maintenance. It results in companies spending on average $26k per employee on non-strategic work. More importantly, what could be done with 30% time recovered from a highly skilled ML team? Our mission is to answer this question.
We are a team of data scientists and software engineers who thrive on contributing to the field of Machine Learning. Backed by world-class venture capitalists and decades of experience, we know what it takes to get the most value from your models in production. Whatever your industry or challenges are, we understand that your time is better spent building something new.
Co-Founder, Engineering Lead
Co-Founder, Business Lead