document-parsing
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Adit Abraham Found a Business in the Documents Everyone Else Hated
A failed memory tool, a two-week pivot and 154 days of enterprise courtship taught Adit Abraham a durable lesson: the useful work is often the work nobody wants to brag about.
Unsiloed AI
Unsiloed AI builds an API that turns messy, multimodal documents - PDFs, scans, spreadsheets, charts and images - into structured JSON and LLM-ready Markdown. Founded by IIT Kharagpur alumni Aman Mishra and Adnan Abbas and backed by Y Combinator (Fall 2025), the company uses proprietary dual-stream vision models to parse, extract and split documents at scale, and ranks #1 on the public olmOCR-Bench, ahead of models from OpenAI, Anthropic and Google.
Reducto
Reducto is a San Francisco AI company that turns messy, complex documents into clean, LLM-ready data. Its agentic document platform pairs traditional computer vision with vision-language models and a multi-pass 'Agentic OCR' correction loop to parse, split, extract, classify, and even edit PDFs and other formats through a developer API. Founded in 2023 by MIT grads Adit Abraham and Raunak Chowdhuri, Reducto has processed billions of pages for AI teams and enterprises in finance, healthcare, legal, insurance, and compliance, and raised $108M total including a $75M Series B led by Andreessen Horowitz in October 2025.
Feathery
Feathery is a San Francisco software company that builds an AI operations platform for financial services. It started in 2021 as a developer-friendly, no-code form builder and has grown into a data intake and workflow automation platform that ingests, validates, and syncs client information across CRMs, custodians, and policy systems. Feathery pairs pixel-perfect forms and document generation with AI document intelligence, meeting and audio extraction, and collaborative approval workflows, targeting insurance carriers and brokers, wealth management firms, RIAs, and broker-dealers.
Unstructured
Unstructured is a San Francisco company building the data layer for generative AI. Its open-source library and enterprise platform ingest PDFs, slide decks, emails, images and 70+ other file types, then transform them into clean, structured data that LLMs and RAG pipelines can actually use.
LlamaIndex
LlamaIndex is a San Francisco company building the data framework and cloud platform that lets enterprises turn messy unstructured documents into knowledge agents powered by large language models. Its open-source library is one of the most-used scaffolds for retrieval-augmented generation, and its hosted product, LlamaCloud, packages parsing, extraction, and indexing for production teams.
Jerry Liu
Jerry Liu is the co-founder and CEO of LlamaIndex, the open-source data framework that became essential infrastructure for connecting large language models to enterprise data. What started as a weekend side project in November 2022 - an indexing tool he built to feed his own data into GPT-3 - grew into a company with $46.5M in total funding, 600,000+ monthly downloads, and clients including Salesforce, KPMG, and Carlyle. A Princeton computer science graduate who published GAN research as an undergrad, Liu moved from Quora's feed ranking team to Uber's autonomous vehicle research labs before co-founding LlamaIndex with former Uber colleague Simon Suo in early 2023.