ai-research-assistant
(5)
Survicate
Survey and listen to your customers across every channel, automatically identify key themes, and rally teams around feedback - all in Survicate's platform.
AnswerThis
AnswerThis is an AI research assistant that turns literature reviews from months of work into minutes. It searches a database of more than 250 million academic papers and answers complex scientific questions with line-by-line, verifiable citations. Founded by University of Richmond seniors Ayush Garg and Ryan McCarroll and backed by Y Combinator (Fall 2025), the platform is used by over 250,000 researchers and crossed $1M in annual recurring revenue within eight months.
Humata
Humata is an Austin-based AI company that lets people upload files and ask questions about them in plain English, returning answers with clickable citations that point back to the exact passage in the source document. Often described as 'ChatGPT for your files,' it targets professionals in legal, finance, healthcare, and research who need to extract insight from dense, unstructured documents without reading every page. Founded in 2022 by Cyrus Khajvandi and Dan Rasmuson, the company raised a $3.5M seed round in October 2023 led by Google's Gradient Ventures with participation from Cathie Wood's ARK Invest and M13.
Andreas Stuhlmüller
Andreas Stuhlmüller is the cofounder and CEO of Elicit, an AI research assistant that automates evidence synthesis for scientists and analysts. A cognitive scientist by training (PhD, MIT), he built probabilistic programming languages before turning to a single question: can AI help people reason well about hard problems? His answer is process supervision, the idea that you get trustworthy machines by watching how they think, not just grading what they produce. Elicit, which spun out of his nonprofit Ought, raised a $22M Series A in 2025 and serves hundreds of thousands of researchers.
Elicit
Elicit is an Oakland-based AI research platform that automates the slow, manual parts of scientific literature review - searching, screening, and extracting data from papers. Spun out of the nonprofit research lab Ought in 2023, it lets researchers query a corpus of over 125 million papers, run systematic reviews that are traceable and auditable, and extract data from tables and figures with accuracy that rivals expert reviewers. More than two million researchers across academia, biotech, and pharma use it to get evidence-based answers in hours instead of months.