Website Finder

Give it the names.
Get back the companies.

It searches the web for the company behind each name and puts the domain on the account.

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It is the first thing that runs on an account

The pipeline runs in 2 tracks, both wired to your CRM at each end, and Eva runs all of it. This agent opens the account track, because every step after it reads the domain it resolves.

Eva, the Evergrowth AI colleagueEvaLaunches them, and writes them
On the account
Your CRM Website Finder Account Qualification Account Research Account Planning Contact Finder
Then on each contact
Contact Qualification Contact Research Email/Phone Finder Play Copywriting Your CRM
Where lists start

A name is all your list has to carry

Import what you actually have, wherever it came from: a CRM export, a conference list, a spreadsheet somebody sent you. Account Name is the only column the importer requires, and the drop zone says outright that domain is optional because this agent fills it.

First in line

You unblock every agent that comes after it

Qualification, research and contact finding all read the domain off the account, so a row without one is a row the rest of the pipeline skips. Research is handed it as the company website, which is the page it goes and reads, so the domain sets the ceiling on everything found afterwards.

How it resolves

It goes and looks, rather than looking you up

This is not a lookup against a list somebody bought. The agent runs a search, opens what it finds, and reads the page to check the company matches.

Breaking ties

It uses what you sell to tell 2 companies apart

Names collide, and the agent is given your value proposition so it can pick the company you actually meant. Effort is yours to set per run.

Or in bulk

Or on the whole list you just imported

The run is offered as you finish importing, which is when most lists arrive. You confirm before anything starts, and the accounts are in your workspace either way.

What lands

You never reconcile a file afterwards

The result is written to the account your team already works from, so the next agent reads it the moment it lands. The record names what filled the field, so a domain the agent resolved is never confused with one your list already had.

Eva, anywhere

Your team works with Eva anywhere, not only in Evergrowth

It is the same Eva as in the workspace, with each rep's own permissions, and her answers link back to the workspace.

  • Slack
  • Microsoft Teams
  • ChatGPT
  • Claude
  • Microsoft 365 Copilot

In Slack and Microsoft Teams

In Slack, a rep sends her a direct message or mentions her in a channel. In Teams, she answers in direct messages. Eva in Slack and Teams

In ChatGPT, Claude and Copilot

The Evergrowth connector brings Eva in through MCP. Before she launches anything, she shows the cost and asks. Eva in ChatGPT, Claude and Copilot

What your security team will ask

  • Never used to train models

    Your CRM data, research outputs and agent activity are never used to train or fine-tune models. Not by us, not by our providers.

  • Your workspace is isolated

    Each workspace is logically isolated, so your data is never accessible to another customer.

  • You control retention

    If you cancel, your data is returned or deleted, your choice. If you make no request, all personal data is permanently deleted within 30 calendar days.

The detail, the sub-processors and the DPA are on Security and trust.

Your material stays yours

Under the MSA, everything you upload and everything the agents produce from it is yours.

SOC 2Audited
ISO 27001Certified
GDPRCompliant

Send a list of names and see what comes back

We run it on a slice of your list, and you read which companies it found, which it could not, and what the rest of the pipeline could do once it had them.

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