Market Overview

Kinetica Maps Future of Automotive Industry Powered by Extreme Data


Company to Support Growing Need for Advanced Analytics and Artificial
Intelligence Across the Connected and Autonomous Vehicle
Value-Chain—from the In-Vehicle Experience to Location-based Services to
Traffic and Smart City Management

the insight engine for the Extreme Data Economy, is taking steps to
bring advanced analytics, artificial intelligence and its GPU engine to
the global automotive industry. The company announced today that it is
becoming a silver member of The Linux Foundation and a bronze member of
Automotive Grade Linux (AGL). With location analytics playing a key role
in connected and autonomous car use cases, Kinetica also announced a new
Mapbox integration which it will release to the open source community
and which will dramatically simplify custom development for a new class
of applications.

"The automobile industry is undergoing the most significant evolutionary
leap since the first Model T rolled off the production line," said Paul
Appleby, Kinetica CEO. "Rapid evolutions in technology are impacting
every stage of the automotive value chain. There is no doubt data will
fuel the vehicle of the future, powering everything from navigation to
entertainment, AI control to inter-vehicle networking. We are thrilled
to join AGL to collaborate with automotive industry leaders to solve
these complex data challenges."

Building the Open Source Software Stack for Connected Transportation

is a collaborative open source project that is bringing together
automakers, suppliers and technology companies to accelerate the
development and adoption of a fully-open software stack for connected
vehicle services. With Linux at its core, AGL is developing an open
platform from the ground up that can serve as the de facto industry
standard to enable rapid development of new features and technologies
for the automotive segment.

"We are proud to welcome Kinetica to the Automotive Grade Linux
community," said Dan Cauchy, Executive Director of Automotive Grade
Linux at The Linux Foundation. "As we evolve the AGL platform beyond
infotainment, support from companies like Kinetica is crucial. We look
forward to leveraging their expertise in data analytics as we continue
to develop solutions and support for telematics and vehicle-to-cloud

Kinetica is enabling automakers, suppliers and related startups to
accelerate how vehicle data insight is generated by combining the
accelerated analytics of a GPU database, real-time location intelligence
and the power of AI. Linux-based open source software will help to
accelerate innovation and speed up time-to-market for automotive

Additionally, as part of its automotive strategy, Kinetica is making
Kickbox, its Mapbox integration, available to developers via GitHub.
is the location data platform for mobile and web applications, providing
the building blocks to add location features like maps, search and
navigation into any experience.

While Kinetica's and Mapbox's software already work together natively,
the Kickbox integration abstracts away complexity and enables developers
to more rapidly build location-based mapping solutions across any
industry with minimal code. Kinetica is contributing the Kickbox code to
the open source community to help support innovation in location-based
analytics and visualization in the automotive industry and beyond.

Additional Resources:

and Kickbox video demo

About Kinetica

Kinetica is the insight engine for the Extreme Data Economy. The
Kinetica engine combines artificial intelligence and machine learning,
data visualization and location-based analytics, and the accelerated
computing power of a GPU database across healthcare, energy,
telecommunications, retail, and financial services. Kinetica has a rich
partner ecosystem, including NVIDIA, Dell, HP, and IBM, and is privately
held, backed by leading global venture capital firms Canvas Ventures,
Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners. For
more information and trial downloads, visit
or follow us on LinkedIn
and Twitter.

View Comments and Join the Discussion!