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GeoSpock
AI · Cambridge, United Kingdom · Founded 2013
Analytics database for extreme-scale geospatial data fusion. MoreLess
GeoSpock was a data technology company that developed a high-performance analytics database, GeoSpock DB, designed for extreme-scale geospatial and temporal data. The company ultimately ceased operations, with a bankruptcy liquidation event occurring in June 2023.
The company was founded in 2013 by Dr. Steve Marsh, who conceived the idea while pursuing his PhD in Computer Science at the University of Cambridge. His research involved building a supercomputer to simulate brain functions, which led to the invention of a database capable of handling massive, simultaneous data processing. Dr. Marsh launched the company from his dorm room, partnering with Dr. Darrin M. Disley, an experienced entrepreneur and angel investor, to establish the business. In November 2017, Richard Baker, a technology entrepreneur with a background in founding and leading tech and financial services companies, was appointed CEO, with Dr. Marsh transitioning to the role of CTO to focus on the technology.
GeoSpock's core product, GeoSpock DB, was a cloud-native analytics database engineered for complex queries on exceptionally large datasets, particularly those generated by IoT devices, smart cities, and connected vehicles. Its architecture separated storage from compute, allowing it to efficiently query terabyte- and petabyte-scale datasets directly from cloud storage like Amazon S3. The platform was designed to overcome the limitations of traditional databases in handling the velocity and volume of real-time geospatial data, enabling clients to perform dynamic data fusion and run complex ANSI SQL queries with significantly reduced latency and cost. The technology targeted clients in sectors such as automotive, telecommunications, mobility, retail, and media, providing insights for use cases like fleet management, location-based advertising, and autonomous vehicle management. Over its lifetime, GeoSpock raised approximately $34.5 million in funding over several rounds from investors including Cambridge Innovation Capital, Parkwalk Advisors, NTT DOCOMO Ventures, and KDDI Innovation Fund.
Keywords: geospatial database, big data analytics, data fusion, IoT data, spatio-temporal, SQL analytics, cloud-native database, location intelligence, smart city data, connected vehicles, telematics, extreme scale data, Steve Marsh, Richard Baker
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Global footprint
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