MTR 100: Planet OS
Posted by Irina Tabakina
Planet OS Inc.
920 Stewart Dr., Sunnyvale, CA 94085
T: +1 650 391-4111
E: firstname.lastname@example.org; W: www.planetos.com
CEO/President: Rainer Sternfeld
No. of Employees: 12
Planet OS platform is designed to reduce the time related to decision-making involving sensor data by 80%, enabling to securely organize and distribute all data assets in one location — ingest and curate data flows, manage users and access control, inspect individual platforms and data streams.
Founded by Estonian entrepreneurs in 2012 as Marinexplore, Planet OS Inc., is a Silicon Valley based big data company focused on providing the world’s most powerful platform for analyzing vast data sets taken from millions of sensors around the planet. The Planet OS platform helps sensor-connected industries and governments to systematically analyze their sensor data using a single platform. Planet OS investors includes Intertrust Technologies, Philips and angel investors from the energy, automation, cloud software and resource management sectors. The company is headquartered in Sunnyvale, California, with offices in Los Angeles, Houston, and its biggest office in Tallinn, Estonia.
Planet OS is an analytical data platform between databases and applications, automating data transformation, accessibility and on-demand visualizations. The platform has a broad range of applications including real-time environmental monitoring of oil platform operations, data discovery and fusion for data centers, accessibility of disparate data sources through APIs, automated data transformation of disparate sources, data dissemination from unmanned vehicles to end-users and data visualization of entire datasets. The same technologies apply to a broad variety of industries from agriculture to urban planning as well as shipping and transportation.
Planet OS is designed for multi sensor and model data. It has integrated data management and fusion for satellites, remote sensors, in-situ devices, high frequency radars, geospatial systems and simulation models.
Spatio-temporal storage enables easy-to-access data from sensors and machines with spatial and temporal content. Extensible software components integrate diverse sensor and machine data in an index for fast querying and interaction.
Currently, the largest Planet OS deployment transforms and fuses data from over 42,000 individual data streams. The platform is continuously developed to achieve sub-second data stream refresh rates and enable high performance integrations with simulation models.
(As published in the July/Aug 2014 edition of Marine Technology Reporter - http://www.marinetechnologynews.com/Magazine)