Over a million machine learning practitioners are working on automation solutions today. These are usually some of the highest earning employees. They spend ~50% of their time manually analyzing model failure, representing at least US$9B in human capital spend. As regulatory headwinds for AI companies pick up, this will translate to increased testing onus.
The Lumeros platform tackles this challenge by automating testing at every stage of the machine learning project life cycle. The platform enables developers to leverage domain-specific simulated data, reducing time spent manually testing by 90%.
The Lumeros platform is currently being developed collaboratively with two industry partners, including one of the largest medical AI companies in the world. These pilots are on track to convert to paid contracts worth US$90K ARR by the end of the year. Additionally, Lumeros AI is set to close a US$20k contract to work with a major public health institution in Singapore.
