RCC

We want to make "no-code" machine learning transparent and visible for users.

We offer manual analysis now and recently onboarded the first customer.
We hope to raise investments to develop an automated “self-service” product for what we do manually now.

Large firms, particularly in finance, are some of the largest data science investors in the world now. They could massively improve efficiency by switching from manual data analysis to “no-code” solutions.
In fact, they’d love to but all existing solutions don’t match one key requirement: transparency.
As a large and regulated firm you can’t afford to use a “black-box” model you don’t understand and this is the best the market for “no-code” data science can offer now.

We want to build a simple and intuitive “no-code” platform operating only human-readable models so they can be understood by the users and regulators.

We’d expect to offer a SaaS subscription and on-site licence for in-house deployment (also subscription based). This should form the bulk of our revenue with smaller income also derived from hosting of deployed models.