How Layr Works

Describe your search
Describe your search

Find every thermodynamics PhD in Canada who has published in the last 5 years and has industry experience outside academia.

Plain language. Any domain. Any criteria.

AI builds a custom pipeline

From your description, we generate a multi-step pipeline that searches, crawls, extracts, and deduplicates — tailored to your domain.

arXiv Google Scholar GitHub University departments Conference proceedings Professional directories Government registries The open web

The pipeline runs at scale

Per-page AI extracts every expert from every crawled page. A second AI layer consolidates across sources — merging the same person found on a university site, a conference program, and a GitHub profile into one verified record.

Like running deep research hundreds of times.
One for every expert, automatically. Nothing made up — every field traces back to a source

Delivers verified, deduplicated experts

Structured records with names, emails, affiliations, publications, and evidence — ready to explore, filter, and export.

Describe your search
Describe your search

Find every law firm in the US or UK that does trademark infringement protection. Filter to firms with between 1 and 20 associates or partners in the area. For each firm, find any technology vendors they use today specifically for infringement work.

Plain language. Any domain. Any criteria.

AI builds a custom pipeline

From your description, we generate a multi-step data pipeline — not a search, a repeatable process that ingests sources, crawls pages, and builds structured output.

Bar association directories Court filings Legal tech databases Your custom data Firm websites Trade journals Conference proceedings HubSpot Government registries

A real pipeline — not a search

Per-page AI extracts raw records from every crawled page — every firm, every mention. Then a second AI layer consolidates across sources: deduplicating, enriching, and merging into verified company records. Every step is repeatable, observable, and traceable back to the source page.

Layr pipeline running at scale
Like running deep research hundreds of times.
One for every firm, automatically. Nothing made up — every field traces back to a source

Browse, search, and export from a live dashboard

Deduplicated firms with headcount, practice areas, contact info, and technology partners — ready to explore, filter, and export.

Layr dashboard showing structured records
Integrates with + more

Trace every record to its source

Click into any firm and see exactly where every field came from — the page, the extract, the raw data.

Layr attribution view showing source provenance

Adjust on the fly

Need another field? The pipeline introspects itself and adapts. Just ask.

You: “Add primary office location for each firm.”
→ Pipeline re-runs with the new output shape. No rebuild. No re-crawl.
Paste your job description
Paste your job description

Senior Backend Engineer — Python/Go, distributed systems experience, 5+ years. Bonus: open-source contributions, experience with event-driven architectures. Remote, US timezone preferred.

We parse what matters from any JD format.

Finds candidates where they actually are

GitHub contributions, conference talks, open-source maintainers, research labs. People with demonstrated skills, not self-reported keywords.

Verifies and ranks by evidence

Merged PRs beat profile keywords. Employment and contact info confirmed across multiple sources.

Delivers a pipeline of reachable candidates

Structured profiles with direct emails, ranked by fit. Ready to outreach, not another list to clean.