MyDataModels, a Sophia Antipolis, France-based company that built an automated machine learning software platform has raised €1 million seed investment from Earlybird Venture Capital. With MyDataModels, users with limited programming experience and machine learning skills can build and run predictive models.
“We believe that making machine learning accessible to everyone is now the true innovation in machine learning, rather than simply increasing the productivity of data experts via data science studios and workbenches. Besides, Big Data is only the visible part of the ‘data iceberg,’ said MyDataModels CEO and co-founder Simon Gazikian in a statement. “Small Data is the largest and hidden part and represents more than 80% of enterprise data. Having Earlybird on board with us will allow MyDataModels to speed up adoption of our breakthrough automated machine learning software platform.”
With this funding round, MyDataModels plans to speed up the adoption of its new cloud-based SaaS solution and further develop business growth. In order to make machine learning accessible to a wide range of people, MyDataModels enables users to build and run accurate predictive models with a ‘one-click data-in model-out’ service.
MyDataModels is positioned as a fully automated Small Data machine learning solution. And the solution targets domain experts at SME, enterprises, and research institutes.
“While we see multiple solutions for data scientists and big datasets, there is huge untapped potential for predictive models based on small datasets created by a mainstream of users with little to no data science knowledge,” added Earlybird partner Hendrik Brandis. “MyDataModels addresses this enormous opportunity with its innovative solution led by a team of experienced repeat entrepreneurs.”
