Academic data you can trust.

Cevian Labs builds products that understand academic data and rapidly verify its accuracy against the public record.

One engine behind every product.

Every Cevian Labs product runs on CVParsa, our engine for academic CVs. CVParsa understands each entry the way academics do, then verifies it against the public record.

Built by researchers who have studied academic careers since 2015, including 24 papers together on the science of science. About us

Understanding

CVParsa maps the many ways academics write the same thing onto one standard form, and puts every entry in its proper category.

Faculty rank

  • Regents Professor of Chemistry
    Distinguished Professortenure-track
  • Smith Family Endowed Chair
    Professortenure-track
  • Research Assistant Professor
    non-tenure-track

Degrees

  • PhDPHDDoctor of Philosophy
    Ph.D.research doctorate
  • BA (Hons)
    B.A.undergraduate, with honors
  • MBA
    M.B.A.professional master's

Advising

  • Dissertation co-chairPh.D. advisor
    Doctoral advisor
  • Honors thesis advisor
    Undergraduate advisor
  • Ph.D. and M.S. advisor
    Two recordsdoctoralmaster's

Career roles

  • Chair, Department of History
    Administrative
  • Postdoctoral Research Associate
    Postdoc
  • Senior Research Scientist
    Research staff

Publications

  • Proceedings of the Annual Conference on …
    Conference paper
  • arXiv preprint, 2023
    Preprint
  • Journal of …, 12(3):45–67
    Journal article

Funding or honor?

  • Outstanding Teaching Award
    Honornot funding
  • NIH K99/R00 Pathway to Independence Award
    Grantcareer-development fellowship
  • NSF research grant, $450,000
    Grantresearch grant

Grants

  • Principal Investigator, NSF, $450,000
    Research grantPI
  • Sloan Research Fellowship
    Fellowshipindividual
  • NIH T32 training program (Director)
    Training grantinstitutional

Verifying

CVParsa then checks every record it can against the public record, and notes where each one was confirmed.

Publications

Checked against
Crossref and other bibliographic databases
Confirms
Title, authors, venue, year, and DOI

Grants

Checked against
NSF, NIH, USASpending, UKRI, and the EU's CORDIS (including ERC)
Confirms
Award number, amount, dates, and the CV owner's role

Honors

Checked against
The Cevian Labs Academic Honors Registry
Confirms
The honor, and the organization that confers it

Entries that can't be confirmed are kept as the CV states them, and marked unconfirmed.

See it work on a real CV.

A short walk through one faculty CV, and how CVParsa compares with a general-purpose chatbot.

One CV's journeyFrom its first page to the finished, verified record. Plays automatically.

Click the slides or use the arrow keys to step through at your own pace. Open full screen · Full walkthrough

Why not just ask ChatGPT or Claude?Reading a CV is the part general-purpose chatbots already do well.
TaskGeneral-purpose chatbot (ChatGPT, Claude)CVParsa
Read one CV and summarize itDoes this wellDoes this well
Apply the same fields and vocabulary to every CV in a pool of hundredsOutput varies between runsOne schema, fixed academic vocabularies
Know that a fellowship title can be a postdoc, and that a CAREER award is both an honor and a grantInconsistentlyApplied the same way to every CV
Count publicationsDepends on how the question is askedPublications counted by type; preprints and patents kept separate
Confirm each record against Crossref, NSF, NIH, and Cevian Labs databasesNot systematically, and prone to inventing citations it cannot findEvery record states which authority confirmed it, or that none did
Handle confidential applicant filesConsumer accounts raise data-governance questionsEncrypted, never used to train AI models, originals deleted within 30 days

Four products, one engine.

Each product puts CVParsa to work on a different academic task.

All four run on the CVParsa engine.

CVParsa for Search Committees

Jump-start the selection process. CVParsa understands and verifies the whole applicant pool in minutes, and returns an overview spreadsheet listing every applicant with selected verified information.

About 10 minutes per 100 faculty CVs

Go to CVParsa

CVPaaS

Detailed, structured records for academic research, with publications, grants, and honors checked against the public record. Available to researchers by authorization code.

One structured file per CV

About CVPaaS

COI Pond

A free draft of your NSF Collaborators and Other Affiliations form, built from your CV. Edit it online, then download the spreadsheet for your proposal.

Free, usually ready in a few minutes

Go to COI Pond

Integrations

The CVParsa engine inside your own platform: structured, verified academic data for talent and research systems.

Licensed to platforms and institutions

About Integrations