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Cevian Labs @cevianlabs.io · 24/02/2026

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

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.

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Cevian Labs @cevianlabs.io · 24/02/2026

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

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Cevian Labs @cevianlabs.io · 24/02/2026

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 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.

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