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Unsiloed AI

Fall 2025 · Active

API for parsing multimodal unstructured data

Location: San Francisco, US

Founded: 2025

Team size: 2

About

AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets. Our APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.

Founders

  • Aman MishraFounder

    Co-founder & CEO at Unsiloed AI • IIT Kharagpur Previously built an ultra low-latency trading system moving billions at a hedge fund. Founding Engineer (#1) at an SF-based stealth startup building AI copilots for firms like Goldman Sachs and Charles Schwab. Launched a P2P rental platform from my dorm room, scaling it to thousands of orders within 2 months of operation.

  • Adnan AbbasFounder

    Co-founder & CTO at Unsiloed AI • MIT • IIT Kharagpur Built multi-modal models deployed at a Fortune 10 company. Was building autonomous navigation systems at Mercedes Benz. Launched India’s first Web 3.0 audio app while in college, scaling it to thousands of users within a month.