nvNeuralVerge
Use case · Outbound

Outbound that starts from a reason to write

Spot the account with a signal, find the person who owns the problem, check the email before it bounces and write an opener that is about them. Your agent does the legwork on data read at the moment you ask; you decide who gets the message.

In practice

What you ask, and what comes back

You ask

“Which logistics software companies in the UK and Germany raised money or opened sales roles in the last 30 days?”

Agent runsfunding roundsjob listingscompany search

Accounts worth writing to this week, each with the signal that put it on the list.

AccountSignalWhen
RoutelySeed round announced8 days ago
Freightbase3 SDR roles openedThis week
DockwiseNew VP Sales hired2 weeks ago
PalletlySeries A announced4 weeks ago

Illustrative output — company and contact names are fictional.

Why it changes

Bounces, stale titles, openers nobody reads

Outbound fails quietly: a list that looked fine, a domain that slowly loses reputation, and replies that never come.

The usual way
Exported contacts, half of them moved on

A contact database is a snapshot. By the time it reaches your sequencer, some people have changed jobs and some titles no longer match who owns the problem.

With NeuralVerge
Contacts found when you send

Your agent looks people up at request time, so the title and company in the row are what the source shows today.

The usual way
Bounces chip at your sending domain

Unchecked addresses go into the sequence, a share of them bounce, and deliverability drops for every campaign that follows.

With NeuralVerge
Every email checked before the sequence

Email finding and validation run in the same flow, so invalid addresses are dropped and catch-all domains are flagged before anything is sent.

The usual way
“Hope this finds you well”

Personalisation at volume usually means a first-name merge field. Researching each account properly takes longer than writing the email.

With NeuralVerge
An opener about something real

The agent reads the account's latest news, launches and hiring, and drafts a first line from it. You review and edit — the research is already done.

How it works

Start in three steps

01
Connect

Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client — or use the HubSpot and Clay integrations if your workflow already lives there.

02
Describe the target

Tell the agent who you sell to and which signals matter. It picks the lookups, finds the people and checks the emails.

03
Review and send

You get a list with contacts, validation status and draft openers. Edit what needs editing and push it to your sequencer.

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 pipeline that refills itself

Set the plays up once in your agent. Each run pulls fresh signals and contacts from NeuralVerge and lands them where you work.

Daily
Every morning

Write the day a signal shows up.

  • New funding and hiring signals in your ICPSlack
  • Openers for today's new accountsSheet
Weekly
Monday morning

A fresh, checked list for the week's sequences.

  • Find and validate new contactsCRM
  • Re-check titles on open sequencesCRM
Monthly
On the 1st

Keep the CRM honest.

  • Re-validate emails on active contactsCRM

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

No. NeuralVerge finds and checks the data; your sequencer sends. The agent can write the list to a sheet, your CRM or a tool like Clay, and you stay in control of what goes out.

Write to fewer people, with better reasons

Signals, contacts, validated emails and openers — from the agent you already use, on one API key.