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Use case · Match

Find a research partner from an abstract or a problem statement

For anyone that needs to find the right expert to help with their research problem.

Free plan · No credit card required

You know the problem well enough to write it down. What you don't know is who, out of everyone publishing and inventing, has spent the last five years on the specific version of it that you have. Keyword search returns whoever used the same words. A colleague's introduction returns whoever your colleague knows. Neither is based on your specific problem.

Partner search is. It takes the text you already have and ranks researchers on what they have published, patented, and written about themselves.

How it works

A worked example. An R&D lead at a specialty-materials company has a 300-word internal memo on catalytic depolymerization of polyurethane foam, and needs a university group that has run it at the bench rather than modeled it.

  1. Step 1: Paste the text

    Open Discover → Partner search and paste the note. Anything from 30 to 5,000 characters works: an abstract, a specific aim, a statement of work, an internal memo. The text is never written into a URL, your browser history, or a server log; it is stored with the saved shortlist on your account.

    Partner search with the problem statement pasted in.
  2. Step 2: Read the ranked cards

    Results are ranked across 546,000+ researcher profiles on their publications, patents, and bio. Each card shows a match score, the reason it matched (Matched on research, patents, or bio), a bio snippet, top expertise, and publication and follower counts. Once you open the results, the search is saved to your account as a shortlist you can reopen any time.

    For the polyurethane note, the cards to expect are matched on research: polymer chemists with depolymerization studies, and perhaps a computational group whose bio mentions polyurethane.

    Three ranked cards with the match score and the reason line.
  3. Step 3: Open a profile and check the match

    The profile shows the score breakdown on every plan: research similarity, expertise overlap, recency, and citations, with the evidence behind each. Why? See the AI analysis opens an explanation of the collaboration fit between your profile and theirs (10 a month on Free, unlimited on Pro). The Research outputs tab lists the papers; open one to see which patents cite it. The Funding tab shows what the researcher has been funded to do, from their publication record.

    If one of the depolymerization papers is cited by three granted patents, two of them a competitor's, that shows in the same panel.

    A researcher profile with the match score and its four sub-scores in the header.
  4. Step 4: Save, follow, or write

    Save the profile with a private note and tags. Follow to see new papers on your dashboard. Message to start a conversation. A researcher who hasn't signed up yet has Invite to Helikon in place of Message on their profile page, and the platform emails the invitation (10 per month on Free, 50 on Pro). When they reply, propose a meeting and everyone gets a calendar invite.

    A shortlist of three tagged “PU chemical recycling” and one message is the whole first pass.

    The action bar on an unclaimed researcher profile: Invite to Helikon, Follow, and Save, with no Message button.

What you’ll see

A single ranked result card: the score dial, the line naming what matched, the bio, expertise, and counts.
  1. 1. Match score. A similarity percentage, the list order is the fused ranking across research, patents, and bio.
  2. 2. Matched on research / patents / bio. Which part of the record matched best. The card names which part rather than guessing a single paper.
  3. 3. Bio snippet and top expertise. Two lines of bio and three expertise chips. For imported profiles, the bio is AI-generated from their record and says so on the full profile.
  4. 4. Counts. Publications and followers.
  5. 5. Save · Follow · Message. Imported profiles show Follow and Save on the card. Invite to Helikon is on their profile page.

What’s on Free, and what Pro adds

FreePro
Partner searchesUnlimitedUnlimited
AI match explanations10 a monthUnlimited
New people messaged10 a month200 a month
Researcher invites10 a month50 a month
Saved items50Unlimited
Meetings5 a month50 a month

The score breakdown, the saved shortlist, and every filter are on every plan.

Match

Partner search is our platform's version of the Match phase: partner discovery from the research record rather than from the network you already have. Read about the phase →

Does Partner search find companies?
No. It returns researchers, wherever they work, including at companies. To find organizations, use the Organizations tab or the assignee filter in Patents.
What happens to the text I paste?
It goes to the ranking and nowhere else: no URL, no server log. Once you open the results, the search and its text are saved to your account as a shortlist that only you can open. A search you never open expires after a few minutes.
Why doesn't the card say which paper matched?
Because the ranking runs over their whole record, naming one paper would be a guess. The card says which part of their record won (research, patents, or bio), and the profile's Research outputs tab has the papers themselves.

Paste the problem. Read who has worked on it.

Free plan · No credit card required