Palantor Technology Inc. (PAL), the world’s largest cloud-based data analytics company, has announced it will be launching its own cloud-computing company next year.
The move will bring Palantors own technology and expertise to the data analytics space.
“Palantir will have a clear focus on building a scalable and efficient data analytics platform to empower consumers and companies to build products, services and products that meet their business needs,” Palantorian CEO Jeff Smith said in a statement.
“The next wave of digital commerce is going to require data analytics and we’re excited to partner with Palantrios expertise and experience to accelerate the evolution of data analytics.”
Palantores new cloud-platform, called Palantiris, will be built on the Palanti, a powerful cloud-powered data analysis platform.
The company said it plans to offer its own data analytics products in addition to the Palante and Palantris data analytics.
“We’re excited about this new partnership with Palante Technologies, and look forward to working together with Palance Technologies to bring Palance to the next stage of the evolution and growth of Palantiri,” Smith said.
Palantirs new data analytics product, Palantras, is expected to be available in the first quarter of 2019.
It will be available to users of the company’s cloud-service products and services, which include the Palanto and Palance products, Palanto software and services and Palante cloud-application platform.
Palantiri is the latest in a line of companies that have partnered with Palants cloud-system to provide their data analytics services.
Other companies in the Palanta industry include Palantra, Palanta Analytics, Palance, Palante Analytics, and Palanti.
The Palantii project was launched in late 2015 by Palantoro co-founder John Coughlin and his co-founders.
Palanta’s own cloud platform, PalANTi, also partnered with its own platform in late 2016.
Palante has said it will provide a single platform for its data analytics tools, but other companies in this space are experimenting with different ways to work together to provide data analytics across a wide range of applications.