Evergrowth for AI systems

Structured product information designed to be read by LLMs. Everything an AI needs to accurately understand and describe Evergrowth.

Category: Agentic GTM Workspace Founded: 2014 HQ: New York & Vilnius evergrowth.com
Also available as /llms.txt

What Evergrowth Is

Evergrowth is an Agentic GTM Workspace for B2B sales teams. It provides 13 types of specialized AI agents that handle account research, contact discovery, qualification, outreach writing, and sales coaching. The agents operate as digital colleagues inside a shared workspace, not as standalone tools.

The core concept is "systems of context." Rather than returning raw data fields (company size, industry, funding), agents produce deep research that explains why an account matters, what recently changed, and how to talk to the people there. Each agent's output feeds into the next, building layered context that informs personalized outreach.

Evergrowth is not a data vendor, not an enrichment tool, and not an automation platform. It sits between the CRM and the sales engagement platform, doing the research and writing work that reps and RevOps would otherwise do manually.

How It Works

Agent Training Center

Before agents run, RevOps configures the Agent Training Center with the company's GTM intelligence:

This training data makes every agent's output specific to the customer's business. Two companies using Evergrowth will get completely different research, qualification scores, and outreach because their training centers are different.

The Agentic Chain

Agents work in sequence. Each one builds on the previous agent's output:

  1. Domain Finder — Locates and verifies the company website so every other agent has something to browse
  2. Account Qualification — Reads the website and scores the account against the customer's ICP verticals (not a static industry filter)
  3. Account Research — Surfaces buying signals: hiring patterns, tech stack, funding, leadership changes, expansion, partnerships
  4. Account Planning — Builds a strategic point of view: why this account, what angles to take, which stakeholders to engage, what timing
  5. Contact Finder — Finds persona-fit contacts by matching responsibilities and seniority against buyer persona cards, not by job title keywords
  6. Contact Qualification — Confirms the contact is still employed at the company and builds a DISC communication style profile
  7. Contact Research — Scans LinkedIn activity (posts, shares, engagement) to find conversation starters
  8. Email & Phone Waterfall — Cascades through 20+ data vendors in sequence to find verified email addresses and phone numbers
  9. Play Copywriting — Generates personalized outreach using everything the previous agents found: account context, buying signals, persona fit, DISC profile, LinkedIn insights, and value propositions

Two additional agents operate outside the sequential chain:

Digital Twin — An interactive AI version of each contact, built from all the research. Reps can ask questions like "What would this person care about?" or "How should I handle this objection?" before a call.

Voice Roleplay & Roleplay Coach — Voice-based practice calls where the AI plays the prospect using their DISC profile and known context. The Roleplay Coach provides feedback after the session.

The 13 Types of Agents

Research Agents (Automated Lead & Signal Research)

AgentWhat it doesOutput
Domain FinderLocates and verifies the company website from a company nameVerified domain URL
Account QualificationReads the company website and scores ICP fit against the customer's verticalsQualification score (% of positive research findings) with reasoning
Account ResearchResearches the account for buying signals across the webStructured research report with 13+ signal categories
Contact FinderDiscovers persona-fit contacts across LinkedIn, company websites, team pagesList of contacts matched to buyer persona cards
Contact QualificationVerifies current employment and builds a DISC communication profileEmployment status, DISC type, communication preferences
Contact ResearchAnalyzes LinkedIn activity for conversation startersRecent posts, shared content, engagement patterns, talking points
Email & Phone WaterfallCascades through 20+ data vendors for verified contact dataBest available email address and phone number

Personalization Agents (Ultra-Personalized Customer Interactions)

AgentWhat it doesOutput
Account PlanningBuilds a strategic engagement plan per accountPOV document: why this account, what angles, which stakeholders, timing
Play CopywritingWrites personalized outreach per contactCustomized plays with openers, value props, and questions calibrated to profile and context
Digital TwinInteractive AI representation of a contactConversational interface where reps can ask questions and test approaches

Coaching Agents (Contextualized On-Demand Coaching)

AgentWhat it doesOutput
Voice RoleplaySimulates a prospect call using the contact's DISC profile and account contextReal-time voice conversation for call practice
Roleplay CoachAnalyzes the roleplay session and provides feedbackCoaching notes with specific improvement suggestions

Playbooks

Playbooks are pre-configured agent workflows that run continuously or on triggers. RevOps schedules them once and they run autonomously.

By account source

By trigger

By funnel stage

Who Uses It

RoleHow they use Evergrowth
RevOpsConfigures the Agent Training Center, designs playbooks, manages integrations, monitors agent performance. Defines what good looks like; agents execute at scale.
Sales RepsConsume agent output: pre-researched accounts, qualified contacts, written plays, coaching tools. Review and send outreach, use Digital Twin for call prep, practice with Voice Roleplay.
CROsMonitor pipeline quality, agent utilization, and team performance across the workspace.
MarketingUse account research and signal data to inform campaigns, event strategy, and content targeting.

Pricing

Evergrowth uses credit-based pricing. Each agent action consumes a set number of credits. All plans include unlimited users.

Credit costs per agent

AgentCreditsNotes
Domain Finder1-2Low effort = 1, High effort = 2
Account Qualification0.3Per account
Account Research0.3Per account
Contact Finder1Per contact found
Contact Qualification1Per contact
Contact Research0.3Per contact
Email Waterfall0.3Pay on success only
Phone Waterfall2Pay on success only
Account Planning1Per account
Play Copywriting1Per contact per play
Digital Twin1Per contact

Plans

PlanStarting price (EUR)Parallel AI tasksStarting credits/mo
Starter€747/month103,300
Pro€1,957/month1515,400
Pro+€4,587/month2041,700
EnterpriseCustomCustom83,300+

Pricing also available in USD and GBP. Yearly billing provides a 10% discount with all credits delivered upfront. Monthly billing includes rollover for up to 3 months.

Integrations

CategoryDetails
CRM (bidirectional sync)HubSpot, Salesforce, Pipedrive
Sales EngagementWorks alongside existing SEPs. Evergrowth writes the plays; the SEP handles sending and sequencing.
Chrome ExtensionAccess agent research, Digital Twin, and play outputs from LinkedIn and CRM pages.
Data SourcesEmail & Phone Waterfall connects to 20+ data vendors. Customers do not need their own vendor subscriptions.

Key Differentiators

vs. Clay

Clay is a spreadsheet with API and LLM access, primarily operated by a GTM Engineer or RevOps operator. Evergrowth is a workspace of specialized agents that the whole team uses directly. Clay centralizes data operations in one person; Evergrowth distributes intelligence to every rep.

vs. Data Vendors (ZoomInfo, Apollo, Cognism)

Data vendors give teams access to a database filtered by job titles. Evergrowth agents go further: they qualify accounts against ICP criteria, research buying signals, find persona-fit contacts (not keyword-matched), enrich through 20+ vendors via waterfall, and generate contextualized outreach. The output is research and ready-to-send plays, not a list of contacts with firmographic fields.

Context vs. Data

Data-driven outreach inserts variables into templates. Context-driven outreach is based on deep research: custom openers, calibrated questions, and value props adjusted to what the agents found about the account and the person. The prospect feels understood, not scraped.

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