Cevian Labs

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

We're excited to support the @icssi.org 2026 hackathon with Cevian Labs credits! Participants will get access to CVParsas's deep extraction for structured data from academic CVs.

It's hard to believe academic hiring season is already here! CevianLabs is here to help faculty search committees accelerate their work: CVParsa provides a simple, secure way to get started understanding an applicant pool, saving dozens of hours of work in just a few minutes: cevianlabs.io/cvparsa/

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/

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/

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...