nvNeuralVerge
Use case · HR & Recruiting

Source, map and reach candidates from the agent you already use

Find people who match the role, see who works where, reach them with a checked email and keep an eye on who else is hiring for the same profile. Your agent reads public profiles, company data and job listings at the moment you ask.

In practice

What you ask, and what comes back

You ask

“Find senior backend engineers in Berlin with Go and Kubernetes experience who've been at their current company for more than two years.”

Agent runspeople searchprofiles

A shortlist with current role and tenure — ready for a recruiter to review.

CandidateCurrent roleCompanyTenure
M. SchulzSenior Backend EngineerPayven3 yrs
A. NovakStaff EngineerRoutely4 yrs
D. RomeroBackend LeadKolibri2.5 yrs
H. ItoSenior Engineer, PlatformLedgio3 yrs

Illustrative output — company and contact names are fictional.

Why it changes

Seat licences, stale profiles, guessed emails

Sourcing tools are priced per recruiter seat and still leave the reaching-out part to guesswork.

The usual way
Searches stuck inside one tool

Sourcing happens in a seat-licensed interface, and the results leave it as a CSV someone has to clean before it reaches your ATS.

With NeuralVerge
Search from wherever you work

Your agent runs people search and returns structured rows it can write to a sheet or your ATS through its own integrations.

The usual way
InMails into the void

Platform messages get ignored, and a guessed email address bounces or lands with the wrong person.

With NeuralVerge
A checked email to write to

Email finding and validation run in the same flow, so the address you use has been checked before you send.

The usual way
No view of the hiring market

You find out a rival is hiring the same profile when your candidate tells you they have another offer.

With NeuralVerge
Who else is hiring, and how they're funded

Job listings, company data and funding rounds show who competes for the same people — and with what offer.

How it works

Start in three steps

01
Connect

Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client. One connection covers people, company, job and contact lookups.

02
Describe the role

Skills, seniority, location, target companies. The agent turns it into searches and profile lookups.

03
Review and reach out

Get a shortlist with current roles and checked contact details. You decide who to contact, and how.

Claude Code and Claude Desktop: run this once. It registers NeuralVerge as an HTTP MCP server, and its tools appear in your next conversation. Replace YOUR_ACCESS_TOKEN with your NeuralVerge token.

claude mcp add --transport http neuralverge \
  https://api.neuralverge.ai/functions/v1/mcp-server \
  --header "Authorization: Bearer YOUR_ACCESS_TOKEN"
On repeat

A talent pipeline that keeps itself current

Standing searches, scheduled in your agent. Each run pulls fresh data from NeuralVerge and lands it where your team works.

Weekly
Monday morning

Fresh candidates for every open role.

  • New matches for open rolesSheet
  • Competitor hiring for the same profilesSlack
Monthly
On the 1st

Know when a team you've mapped changes.

  • New joiners at target companiesSheet
Per hire
Before the offer

Confirm what the candidate told you about their employers.

  • Employer registry and company checkDoc

Schedules run in your agent or your own code. NeuralVerge answers the lookups; it does not run or send anything on its own.

Data behind it

The sources this runs on

FAQ

Common questions

NeuralVerge returns publicly available profile data. How you store it and contact people — lawful basis, notice, retention, local rules such as GDPR — is your responsibility as the recruiter. Our privacy center explains how we handle personal data.

Find the people before the other offer does

People, teams, contact details and hiring markets — from the agent you already use.