API for parsing multimodal unstructured data
AI teams struggle to reliably parse and chunk complex multimodal documents into structured data, which blocks production-grade RAG and automation workflows.
Unsiloed AI provides APIs powered by vision models to convert multimodal unstructured documents into structured, queryable, LLM-ready assets.
AI teams at startups and enterprises building document workflows, RAG pipelines, and vertical AI applications.
Co-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.
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.


