Unsiloed AI
ActiveHiringAPI for parsing multimodal unstructured data
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 Mishra· FounderCo-founder 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 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 Abbas· FounderCo-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.
Product launches · 1 launch
We build APIs to parse multimodal unstructured data and convert it into LLM-ready formats. Our vision is to make documents as computable and queryable for AI Agents as your data sitting in an RDS.