In this interview broadcast on BFM Business, Paul Sinaï presents ForePaaS, a cloud platform revolutionizing the approach to leading corporate data projects.
He addresses some of the solution’s specific features that large organizations can use to design and industrialize their analytical solutions in record-breaking time (viewing, AI, IoT, etc.):
- Automated deployment of an infrastructure capable of raising the speed and agility bar on data projects and securing a fast return on investment.
- The capacity to aggregate data from a wide range of sources (Internet of things, information systems, cloud, etc.) and thereby create new services generating revenue streams and improving performance.
- The possibility for companies to control and manage their data using a multi-cloud platform allowing them to keep a handle on their hosting infrastructure choices.
- The ability to control data-driven intelligence (algorithms, artificial intelligence, machine learning, and so on) by allowing complete flexibility over the choice of solutions and applications.
ForePaaS has already gained traction in a wide range of industries, such as energy, transport and retail, and is used by such key account customers as Total, Saint-Gobain and Pathé Gaumont.
By late 2017, ForePaaS had raised USD 10 million and is looking to break into the US market. The company currently employs 40 people and is determined to double its headcount by the end of 2018 by recruiting data engineers to demonstrate the simplicity of its solution to customers.