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 Scraping and keeping the data fresh is hard at scale and your workflows run on outdated data.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No more outdated information in your ATS.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
X and personal sites
You end up with one person and one profile, every source labeled. For most of your hardest-to-find candidates, this is the only place they exist at all.
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 the call. Change something on your own profile without telling us what, and watch us query it and return the change in seconds.
01
Your agent sends a query in plain English to a single API or the MCP server.
02
You get resolved profiles back, each one dated end to end, stitched across sources, and stamped with when we last saw it.
03
From there you pull the results into your own ATS, database, watcher, or scoring model. None of it has to live with us.
That is the shape of it. The only choice left is who builds and runs it.
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.
Products
Popular Use Cases
