Semantic Researcher Discovery

Find the right
reviewers & collaborators
in seconds

Drop in a paper abstract. We embed it with the same model used to index active ML / CS researchers from OpenAlex — returning the closest match ranked by relevance, h-index, and recency.

Peer reviewCollaboratorsCitationsPhD supervisors
50+ characters to search
results

Free tier: 3 searches / day  ·  Unlimited with Pro

How it works

Semantic search, not keyword matching

01

We index public data

Active ML / CS researchers from OpenAlex, with profiles embedded into a shared 384-dimensional semantic space using sentence-transformers.

02

You paste an abstract

Your text is embedded with the same model. FAISS performs a cosine similarity search across the entire index — no keywords, no guessing.

03

You get a ranked shortlist

Reranked by semantic similarity, h-index, and recency. Each match shows the recent papers that explain the score.

Plans

Simple, transparent pricing

Free
£0
forever
  • 3 searches per day
  • Top 10 results
  • h-index & recent works
Get started
Pro
£9
per month
  • Unlimited searches
  • Top 50 results
  • CSV export
  • Conflict-of-interest filters
Join waitlist
Launching soon
Lab
£49
per month
  • 5 seats
  • Shared workspace
  • Reviewer lists with COI
  • Priority support
Contact us
Coming soon