MinIO vs Reducto
Side-by-side comparison of AI visibility scores, market position, and capabilities
MinIO is the S3-compatible high-performance object storage platform for AI/ML and data lake workloads — $126M raised, $1B valuation — now pivoting to its paid AIStor product after placing open-source in maintenance mode.
About
MinIO is a Redwood City, California-based enterprise object storage company that built the most widely adopted S3-compatible open-source object storage system in the world. Founded in 2014, MinIO's open-source project grew to become the default object storage substrate for Kubernetes-native AI/ML pipelines, data lakes, and large-scale analytics workloads — used by Fortune 100 companies, hyperscalers, and startups alike due to its performance, simplicity, and hardware-agnostic deployment model.
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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