Overview
We are a New York based research group serving people across the world. We were founded in 2018 by Dr. Chang Wang.
Our mission is to help people stay current with the latest tech trends, generate content based on facts, and reason over unstructured data. We own a platform providing a full spectrum of machine learning and natural language processing functions — content generation, search, summarisation, question answering and more — and we maintain a large, clean, up-to-date corpus of hundreds of millions of documents.
We serve both personal users and business collaborators, including customised solutions for business users. Our contact details are at the bottom of this page.
"Paper Digest" is our trademark, registered in the US and in other countries and regions.
You may also like to check our Frequently Asked Questions page.
What We Have Built
Each service below is still running today, listed in the order we introduced it.
Daily Paper Digest
Early 2018Subscribers receive customised daily updates on papers published the previous day.
Conference Paper Digest
Mid 2019A one-sentence highlight for every paper published in a conference.
Search Engine
Early 2020Six kinds of search over one corpus:
Real-time Topic Tracking
Early 2020Track papers related to dozens of trending topics as they appear.
"Best Paper" Digest
Early 2021The 10 to 15 most influential papers for each conference or journal, by year.
Literature Review
Late 2021Generate a literature review around any research topic in seconds. Coverage has grown year by year:
Question Answering & Text Rewriter
Early 2022Summarisation, question answering and paraphrase, in both the technical and open domains.
Academic Reader
Early 2023Ask-your-PDF service: get answers and insights from your own data.
Deep Research & Claim Verification
Early 2024Go beyond papers to the sources that matter in each area — patents, clinical trials, trademarks, company filings and more — not whatever a web search turns up.
Academic Writer
Early 2025Write, edit & cite articles sentence by sentence.
Research Library
Early 2026Track your reading & publish your reading list, profile, or lab page.
Literature Review Matrix
Mid 2026Compare papers side by side: AI extracts their data into one table, with a quote from the paper behind every value.
Data & Compute
We track and analyse new documents appearing on major academic and technology websites, as well as thousands of other conferences and journals.
Primary sources
Technology
We have developed exclusive techniques to produce high-quality text analysis results. We have also built a fairly complex natural language processing platform to support customer-oriented services. It contains four parts:
Central knowledge graph
Hundreds of millions of documents in one store.
Search components
Different components serving different kinds of search results.
Site crawlers
Tracking new documents in real time across our sources.
Analysis pipeline
Dozens of built-in NLP and machine learning components that analyse and generate text.
Our Users
Our users come from more than 200 countries and territories. Most are researchers, engineers, professors and graduate students. Business people, reporters and investors also use our services to read literature reviews, track trending topics and follow recent research.
Top ten countries
Ranked by the number of full pages viewed.
Contact
12 E 49th St, 9th Floor
New York, NY, USA, 10017