Global Spatial Technology Solutions a Maritime Intelligence company announced that it has commenced its AI-powered solution offering OCIANA in the Asia Pacific region through its partnership with Geospatial Intelligence.
Geospatial Intelligence is a leading provider of geospatial intelligence products for agencies in Australia and beyond.
Through its collaboration with Geospatial Intelligence, GSTS will offer OCIANA Risk Manager, a solution recognized for providing enhanced maritime domain awareness to mitigate security, commercial and environmental risks. Using machine learning pattern-of-life analysis, the OCIANA platform delivers predictive insights and actionable intelligence in real-time, enabling users to collaborate and communicate to build a common operating picture.
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“GSTS is pleased to provide our risk management solutions to Australian and Pacific region customers in collaboration with Geospatial Intelligence, a trusted provider of geospatial intelligence services,” said Richard Kolacz, GSTS CEO. “OCIANA will be available to provide increased maritime domain awareness in the Pacific region to save lives, energy and the environment.”
“OCIANA’s data integration and fusion capabilities along with its risk analysis outputs are unsurpassed in the maritime domain awareness market. It is a platform which has been built on the back of real-world operational experience, resulting in data which meets the needs of our analysts, and with an interface which even a less experienced operator can benefit,” said Rob Coorey, CEO, Geospatial Intelligence.
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GSTS is a Global Maritime Intelligence company delivering solutions to enhance decision making across the maritime and logistics industry. Its platform, OCIANA, is designed to save lives, energy and the environment on a global scale using innovative data collection and analysis techniques.
Geospatial Intelligence Pty Ltd (GI) is a multinational, specialist provider of high-quality innovative geospatial products and solutions. GI uses artificial intelligence (AI) and machine learning (ML) to harvest relevant data from open source intelligence (OSINT) and combined with space-based data (imagery and RF) and other sources of location information to provide responsive and cost -effective solutions.
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