Kuva Space, known for its AI-powered space technologies, has equipped its Hyperfield-1 satellite with a patented hyperspectral camera capable of distinguishing Earth's materials and conditions through unique spectral signatures.

The company's advanced AI-driven analytics platform processes proprietary hyperspectral data, integrating third-party information when necessary, to generate actionable insights within 15 minutes. These insights allow organizations to monitor and assess various environmental and agricultural parameters, such as crop health, biodiversity, and water quality, in near real-time.

Kuva Space offers a subscription-based "insights-as-a-service" model, departing from traditional pay-per-use approaches. This model, built around daily hyperspectral observations and automated AI-driven analytics, is designed to help customers, particularly those outside the space industry, effectively implement ESG strategies, enhance security and safety awareness, and optimize resource management.

"Hyperfield-1 launch is a critical milestone for Kuva Space's mission. The immense learning the team garnered in the past two years, both on satellite and AI-powered processing pipeline and customer needs, is giving us a firm foundation to build world-class services," said Jarkko Antila, CEO of Kuva Space. "When the Hyperfield-1 satellite commissioning period ends, we will open early access to a selected group of customers to test, validate, and co-create domain-specific services."

"Our early access program will help customers learn firsthand how novel hyperspectral insights can make their business more climate resilient," Antila added.

Historically, using satellite data has been challenging due to high costs and accessibility issues. Kuva Space addresses these challenges with automated AI processing chains, delivering timely, accurate, and affordable insights tailored to specific business needs.

Kuva Space's unique gapless monitoring capability allows for in-orbit tuning, offering flexibility to serve multiple industries simultaneously. The company plans to integrate in-orbit edge computing and satellite-to-satellite (Sat-to-Sat) communication in its second-generation satellites to enhance processing efficiency and reduce the delivery time of analytic insights, particularly for first responders.

"Our AI-powered service production process is put to test for the first time with our proprietary hyperspectral data with the launch of Hyperfield-1. This complex process spans tailored data acquisition, in-orbit data pre-processing, and on-ground processing to produce hypercubes, which will then be automatically translated into industry-specific insights. We anticipate fine-tuning the end-to-end process as we gather more data and learnings during this year," stated Tuomas Tikka, CTO of Kuva Space.

Kuva Space collaborated with the VTT Technical Research Centre of Finland to develop the camera technology for Hyperfield-1. The follow-up satellite, Hyperfield-1B, is scheduled for deployment in Q1 2025 under the ESA InCubed program, with the second-generation Hyperfields featuring enhanced capabilities set to launch later in 2025.

Organizations interested in participating in Kuva Space's early access program, particularly those focused on agriculture and aquaculture insights, can now sign up to receive notifications upon the program's launch.

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Kuva Space Hyperfield-1
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