Submer vs Reducto
Side-by-side comparison of AI visibility scores, market position, and capabilities
Submer is a Barcelona-based data center immersion cooling company founded in 2015; produces SmartPodX and MegaPodX liquid cooling systems for AI, HPC, and cloud workloads; raised $55M Series B in 2023;
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Submer is a data center thermal management and immersion cooling company founded in 2015 and headquartered in Barcelona, Spain. The company manufactures single-phase and two-phase immersion cooling systems that submerge servers and computing hardware directly in a dielectric fluid — a thermally conductive, electrically non-conductive liquid — to remove heat far more efficiently than traditional air-cooling or conventional liquid cooling. Submer's flagship products include the SmartPodX (a single-phase immersion cooling system designed for high-density compute deployments) and the MegaPodX (a larger-scale system for hyperscale and colocation data center applications). The company also produces its own proprietary dielectric fluid, SubCool Fluid, engineered to optimize heat transfer performance while meeting environmental and regulatory standards.
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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