Cevian Labs

Screenshot of the COI Pond webpage, showing the info box about CVParsa, its underlying engine: CVParsa unlocks the data in academic CVs Our proprietary AI engine is specifically designed to read and understand the complex, non-standardized structures of academic curricula vitae. For faculty hiring committees, CVParsa quickly and securely extracts structured information on education, employment, research interests, and publication track records, allowing committees to spend their time evaluating candidates, not doing tedious data entry into a spreadsheet.

COI Pond is powered by CVParsa cevianlabs.io/cvparsa/, our flagship technology for both parsing and understanding academic CVs. We hope you’ll give COI Pond a try, and find it helpful. If you like it, drop us a line to let us know! /3

Screenshot of the COI Pond job status page, showing the populated NSF COA form, with information extracted from an uploaded CV.

COI Pond automatically extracts names and identifies affiliations for advisors, advisees, collaborators, coauthors, and editors. Edit a draft of the COA spreadsheet online, save your edits, and download a completed xlsx you can upload with your NSF grant proposal cevianlabs.io/coipond/start/ /2

Screenshot of the COI Pond webpage: Upload your academic CV and generate a draft NSF Collaborators and Other Affiliations (COA) Form to submit with your NSF grant proposals. COI Pond parses your CV to extract: Coauthors of articles published, in the last 48 months Collaborators on funded projects, in last 48 months Past PhD advisees & your own PhD advisor(s) Editorial roles, in last 24 months After extraction, you can edit the draft COA form before downloading a final version (in xslx format) that you can submit to NSF. COI Pond is a free tool* from Cevian Labs.

Today we’re excited to announce a new product: COI Pond is a tool for faculty and grant staff that converts an academic CV into a draft NSF Collaborators and Other Affiliations (COA) Form. COA forms are tedious work, and COI Pond makes it a snap. Try it for free, here cevianlabs.io/coipond/start/ /1

Are you a PI running a search to hire a postdoc?

Our flagship service CVParsa understands postdoc applications too. Use it to quickly survey who's in your applicant pool, and more quickly identify the best applicant for your position. Promotional pricing is available

cevianlabs.io/cvparsa/

If you are interested in using CVParsa to support your application process, please get in touch with us at contact@cevianlabs.io. We are happy to discuss a test drive of the tool /5

Screenshot from cevianlabs.io/cvparsa/ listing core features of the CVParsa tool: Deep, Accurate, and Secure Data Extraction. It lists Useful Data, Publication Counts, and Secure Processing, and provides some details about them. Also, there's a picture of a cute capybara with a magnifying class overseeing the automated processing of CVs.

Screenshot from cevianlabs.io/cvparsa/ explaining the advantages of CVParsa. Understand the Applicant Pool, listing Save Time, Evaluate Fairly, and Customize Output. There's also a picture of a cute capybara at a computer looking at a dashboard of data summarizing an applicant pool.

CVParsa leverages modern AI technology to eliminate the tedious manual work of copying information out of academic CVs. Given it a zip file of applications, and get back a detailed spreadsheet summarizing each candidate and an infographic summarizing the whole applicant pool /4

Screenshot of cevianlabs.io/cvparsa/ website, with a hero section that says "Instantly Parse Academic CVs, CVParsa is the automated solution for faculty search committees. Securely and quickly extract education, employment, scholarly interests, and publication data from dossiers, and summarize your applicant pool in a simple spreadsheet. Spend your time evaluating candidates, not on tedious data entry." There's also a picture of a cute capybara sorting large piles of paper.

Our flagship product is CVParsa, a tool that automates the tedious work of getting started evaluating a huge pile of faculty (or postdoc) applications. It’s the tool we wish we'd had ourselves in dozens of faculty searches we've led over the years /3

Screenshot of cevianlabs.io/aboutus/, showing the founders of Cevian Labs, Dr. Aaron Clauset and Dr. Daniel B Larremore, both professors at the University of Colorado Boulder

Founded by two professors @aaronclauset.bsky.social and @danlarremore.bsky.social, with nearly 40 years of joint experience in academia at both public and private institutions, Cevian Labs’ mission is to help faculty and administrators make better decisions, faster /2

Screenshot of the cevianlabs.io homepage, with hero section saying "Accelerating Academic Hiring, Scalable solutions for efficient academic decision making."

CevianLabs.io is a startup founded on the principle that intelligent automation can empower academic and research organizations. We build powerful solutions to solve real problems, helping faculty and administrators spend less time on tedium and more time doing the work that matters /1

CVParsa is the tool we wish we'd had in dozens of faculty searches we've led over the years. It's a tool that automates the tedious work of getting started on evaluating a huge pile of faculty (or postdoc) applications. If you're interested in giving it a try, let us know!
cevianlabs.io/cvparsa/

Screenshot of the cevianlabs.io website. Banner says "Accelerating Academic Hiring", followed by The Cevian Advantage, Cevian Labs provides advanced tools to faculty and administrators to make better decisions, faster. Founded by faculty who spent years wishing for a way to automate the tedious parts of faculty hiring (summarizing CVs, tracking publications, synthesizing candidate information) and finally just built the solution we always needed. Our secure platform automates manual error-prone processes to deliver...

Super excited to announce a new venture, with @danlarremore.bsky.social : Cevian Labs cevianlabs.io provides advanced tools to accelerate faculty work in academia. Our first product CVParsa helps faculty search committees process huge piles of CVs, so they can spend more time evaluating candidates

@cevianlabs.io CVParsa takes a stack of faculty candidate dossiers and generates a summary spreadsheet with candidate basics, current positions, publication info, research keywords, and research interests.

Send me a note and I'll send a code you can use on 5 CVs of your choice to see how it works!

After sitting on faculty hiring committees where profs & staff spend *days* of wasted time processing 100+ candidate dossiers into a 10K-foot view spreadsheet of candidates, @aaronclauset.bsky.social and I built the thing we always wanted: a computational pipeline to get the job done in 5 minutes...