Swiss blockchain startup Streamr has announced its ongoing partnership with tech giant Hewlett Packard Enterprise (HPE) aimed at real-time data monetization.

Under the partnership, the companies will integrate the technology of a chosen vehicle, HPE’s interfacing, and Streamr’s Engine, to deliver vehicle data in real-time to the Streamr Marketplace. Henri Pihkala, CEO of Streamr said that the project marks the world’s first demonstration in which a car’s data will be monetized onto a publicly available platform.

“This partnership with HPE not only solves some of the challenges associated with smart cities, it also proposes a solution to the question of data ownership. We want to ensure that when drivers get in their car and produce valuable data, no one is reaping the rewards but them and with Streamr, we will always keep our users in the driving seat,” Pihkala said.

From the communications “bus” in the car, HPE is collecting real-time information – from fuel consumption and location, to acceleration and gearing. This data can be sent straight to the Streamr platform.

Streamr provides a single interface for real-time data delivery and payment, bringing together buyers and sellers. Streamr’s cryptographic token, DATA, enables making data streams around the globe freely tradeable. The Streamr Engine is the high-performance analytics engine that aggregates, filters, and combines raw data with additional data to extract value, the release said.

“Our main objective at HPE is accelerating time-to-value for our Enterprise Blockchain customers,” said Raphael Davison, Worldwide Director for Blockchain at Hewlett Packard Enterprise. “We see Blockchain use cases evolving into what we call Blockchain 3.0: the intersection of Blockchain, IoT, big data, AI and the Intelligent Edge. Our partnership with companies like Streamr helps us bring this future closer to a reality.”

Streamr and HPE will demonstrate the project at the Streamr pavilion at Consensus 2018 in New York, May 14-16 where attendees will have the opportunity to see data “flowing” through a 3D Audi Q2 chassis.