API for parsing multimodal unstructured data
Company is active
Event Year: 2025
Company is active
Event Year: 2025
AI development teams often dedicate over six months to constructing document workflows, but less than 10% of these projects successfully reach production. General-purpose Large Language Model (LLM) parsers and Optical Character Recognition (OCR) technologies frequently struggle with complex multimodal documents that include text, tables, images, and charts. Inadequate parsing and suboptimal chunking can severely hinder Retrieval-Augmented Generation (RAG) pipelines and subsequent automation processes. Unsiloed AI addresses this challenge with cutting-edge vision models, providing a foundational infrastructure layer that transforms unstructured data into structured, queryable, and LLM-ready assets.
Our APIs are actively parsing hundreds of thousands of documents for both startups and enterprises listed on NASDAQ, enabling vertical AI solutions across various industries. Unsiloed AI consistently demonstrates superior performance compared to solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io in public benchmark tests.
AI development teams often dedicate over six months to constructing document workflows, but less than 10% of these projects successfully reach production. General-purpose Large Language Model (LLM) parsers and Optical Character Recognition (OCR) technologies frequently struggle with complex multimodal documents that include text, tables, images, and charts. Inadequate parsing and suboptimal chunking can severely hinder Retrieval-Augmented Generation (RAG) pipelines and subsequent automation processes. Unsiloed AI addresses this challenge with cutting-edge vision models, providing a foundational infrastructure layer that transforms unstructured data into structured, queryable, and LLM-ready assets.
Our APIs are actively parsing hundreds of thousands of documents for both startups and enterprises listed on NASDAQ, enabling vertical AI solutions across various industries. Unsiloed AI consistently demonstrates superior performance compared to solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io in public benchmark tests.
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
B2B
B2B
B2B
B2B
Team size: 2
Hiring: Yes
Team size: 2
Hiring: Yes
