Side-by-side comparison of AI visibility scores, market position, and capabilities
SF YC S23 GPU cloud marketplace at $1M revenue Jun 2024 with 5 employees; $500K seed with unified API across 20+ GPU clouds (Lambda/Nebius/Crusoe) solving GPU shortage competing with CoreWeave for ML infrastructure access.
Shadeform is a San Francisco-based GPU cloud marketplace — backed by Y Combinator (S23) with $500,000 in seed funding from Charlotte Fund, Gravity Fund, Soma Capital, Y Combinator, and 7 additional investors — providing ML engineers, data scientists, and enterprises with a unified API and console for accessing and deploying GPU workloads across 20+ GPU cloud providers including Lambda Labs, Nebius, and Crusoe, achieving $1 million in annual revenue in June 2024 with a 5-person team. Founded in 2023 by Ed Goode and Ronald Ding, Shadeform addresses the GPU shortage and cloud fragmentation problem by aggregating GPU supply across multiple providers behind a single interface with smooth provisioning.
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.
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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