The recruiter seat
You pay a fortune every year to work inside someone else's interface. You don't control the data, and nothing exports to your systems.
The AI sourcing tools
Each one is a just a wrapper around data you could purchase yourself. In a year there will be another 'better' tool to replace it.
Your own build, on thin data
Your engineers do their part. Scraping and keeping the data fresh is hard at scale and your workflows run on outdated data.
An ATS that stays updated
No more outdated information in your ATS.
An enrichment pipe for inbound leads
Name and address in, a resolved identity out.
A sourcing agent on real career data
Your agent queries, your scoring ranks, your outreach writes.
A watcher on talent movement
Job changes posted to your webhook, so you're informed on candidates you are interested in.
A market map of the talent supply
Know where to hire from by knowing which location has the highest density of a particular skill.
A hiring map of any site
Competitor job postings within a radius of any address you run.
Fraud and candidate verification
Check what a candidate claims against the public record, and flag what does not hold up.
The person you want to hire does not live on one network. Their work history sits in one place, their code in another, and their research and thinking somewhere else again. We stitch all of it into one resolved profile. Your search then sees the whole person rather than a tagline and a skills list.
The professional networks
Developer profiles
Papers and patents
Social profiles and personal sites
Freshness is not something we add on at the end. It falls out of how we make the data in the first place.
We index it ourselves
Real-time to the second
Every career, dated end to end
You can query our live data on a call with us and see the freshness for yourself.
01
Your agent sends a query to our API or the MCP server.
02
You get resolved profiles back, each one dated end to end, pulled from multiple sources.
03
From there you pull the results into your own ATS, database, watcher, or scoring model. None of it has to live with us.
1
Just the data
You take the API and the MCP server, and your engineers build the workflow.
2
Built with you
Our forward-deployed engineers build it alongside your team, on your data.
3
The whole workflow
We build the whole system and run it for you, from sourcing all the way to the shortlist in your ATS.
Talk to the team and the solutions engineers who would actually work on building
your workflow and tools.
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