We build an energy-efficient, scalable human-level machine learning platform for automating data science.
Data science is messy, time-consuming and costly, and there is growing demand for it.
Meanwhile, deep learning solutions are cheap, but limited, they can fail in ways that no human fails, and they need too many data points. In genomics, each data row costs several thousands of dollars limiting data size.
Our solution is innovative AGI tech that is better than deep learning, because it can generalize from few data points, and it has cumulative learning like human.
We built a working prototype, a trading app; and designed a web app for data science.
We are looking to raise $6M from a VC to take our products to the market within two years.