Fleet Space Technologies vs Reducto
Side-by-side comparison of AI visibility scores, market position, and capabilities
Satellite-Enabled Critical Mineral Exploration & IoT Connectivity
Fleet Space Technologies is an Australian space company deploying small satellites for IoT connectivity and seismic sensing to accelerate critical mineral discovery; raised A$65M Series C in 2022 backed by Yamaha Motor and Breakthrough Energy;
About
Fleet Space Technologies is an Australian space and deep technology company founded in 2015 by Flavia Tata Nardini and Matt Pearson, headquartered in Adelaide, South Australia. Fleet Space deploys a constellation of small, 3D-printed nanosatellites (the Centauri series) to provide satellite-enabled IoT connectivity for remote industries and a seismic sensing platform (ExoSphere) designed to dramatically accelerate the discovery of critical minerals — copper, lithium, nickel, and cobalt — needed for the global energy transition. The company bridges space infrastructure, resource exploration, and defense applications through its integrated satellite, sensor, and data analytics stack.
SF AI document parsing API processing 1B+ pages monthly at 20%+ higher accuracy than AWS/Google/Microsoft; $108M total ($75M a16z Series B Oct 2025) serving Scale AI, Harvey, and Fortune 10 for enterprise document intelligence.
About
Reducto is a San Francisco-based AI document intelligence company — backed by $108 million in total funding including a $75 million Series B led by Andreessen Horowitz in October 2025, plus a $24.5 million Series A from Benchmark in April 2025 and an $8.4 million seed from First Round Capital, Y Combinator, BoxGroup, SV Angel, and Liquid2 in October 2024 — providing enterprises and AI development teams with the most accurate document parsing API available for extracting structured data from PDFs, scanned documents, spreadsheets, and unstructured files at human-level reading accuracy. Reducto processes over one billion pages monthly for thousands of customers including Scale AI, Harvey, Rogo, Fortune 10 enterprises, global financial institutions, and Big Four accounting firms — delivering 20%+ higher extraction accuracy than AWS Textract, Google Document AI, and Microsoft Azure Form Recognizer.
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