Eve

Website

Tool Categories/Functions

Lead detection and follow-up, email management

Description of the Tool

EVE is an AI operator that turns email inboxes into a source of leads. Founded by Vadim Rogovskiy, it connects to a corporate Gmail or Outlook account, studies email history alongside public sources, and builds a knowledge graph of the business: who the customers are, what the value proposition is, how the owner sells, etc. It then surfaces the leads and requests for quotes that were missed or never followed up, flags upsell and churn signals, prioritizes by urgency and fit against the ideal customer profile, and drafts personalized replies in the user’s own writing style.

Ideal User

EVE is built for small businesses and owner-operators who sell from their inbox rather than from a maintained CRM. Independent consultants are a natural fit, since they run their own business development alongside delivery, and typically have years of accumulated correspondence. EVE also suits firms that do have a CRM but do not have time to keep it current, since it maintains the pipeline picture automatically. The team plan extends the same setup to a small revenue team sharing a pipeline.

Pricing conventions:

Pricing is per inbox rather than per user, on the reasoning that the inbox is where selling actually happens.

  • Solo: $99 per inbox per month ($74 billed annually), covering Gmail or Outlook integration, automatic lead detection and scoring, at-risk and follow-up alerts, reminders on stalled leads, one-click AI follow-ups, a revenue dashboard, unlimited usage, and three months of inbox history.
  • Team: $249 per month for up to three inboxes ($187 billed annually), adding HubSpot integration, a shared dashboard, multi-user pipeline management, and custom inbox history, with additional inboxes at $49 each.
  • Enterprise: custom pricing for unlimited inboxes, custom integrations and workflows, advanced data handling, compliance requirements, and a dedicated support channel.

A seven-day trial is offered, along with a refund of the first month if EVE does not deliver the expected value.

Detailed description of each function of EVE:

Detailed description of each function of EVE:

Onboarding is deliberately minimal: the user spends about 30 seconds connecting a corporate email account through Google or Microsoft, answers a few basic intake questions such as describing the ideal customer profile, and EVE begins working. Colleagues’ inboxes can be added to widen the picture.

1. Contact classification and knowledge graph

EVE reads across the thousands of contacts in the connected inboxes and classifies each one as a lead, current customer, churned customer, partner, vendor, investor, and so on. In parallel, web search agents examine the company website and public databases to extract the value proposition and target market, which is then cross-referenced against how the user and their colleagues have actually described their value in past emails. The result is what the company calls an executive summary of the business, held on EVE’s servers and used as the filter for everything that follows.

2. Lead detection and prioritization

Incoming communication is scored against that executive summary. Leads matching the ideal customer profile are flagged immediately and ranked by urgency and fit, and the dashboard presents them as new opportunities with the context needed to respond: a description of the company, the history of any prior interaction, and recommended next actions, with completed steps marked off. A separate follow-up section surfaces leads that have gone quiet, showing when contact lapsed.

3. Style-matched drafting

Because EVE has analyzed the user’s own correspondence, it drafts replies in that person’s voice, opening and closing the way they normally would. Drafts can be sent in one click, edited first, or opened in Gmail. Drafts are prepared per team member, so a reply queued for a colleague is written in the colleague’s style rather than the account owner’s.

4. Re-engaging cold leads

Old enquiries whose original need has long since passed are one of the core use cases: mining years of accumulated correspondence for relationships worth reviving. EVE proposes re-engagement drafts written in the user’s style, and a template library was in development at the time of the interview to offer several approaches to choose from.

5. Pipeline view

A leads section lists opportunities independently of tasks, filterable by revenue potential, status, and date of last contact, and showing which team member owns each relationship. For businesses using email as their de facto CRM, or maintaining a CRM they rarely update, this keeps the pipeline current without any manual data entry.

6. Scheduling and autonomous handling

Scheduling is already built in, so EVE can book a call when a lead wants to talk. The stated direction of the product is progressive delegation: the user first reviews drafts to build trust, then hands over the majority of lead conversations entirely, with EVE answering questions from the company knowledge base, drafting contracts, and escalating to a human only when needed.

Data and security: EVE integrates with Google and Microsoft under their privacy and security requirements. The company states that it never stores actual emails, that data is encrypted and de-identified before processing, that it complies with the EU-US Data Privacy Framework, that customer data is never used to train AI models, and that EVE never sends an email without the user’s approval.

Date of demo: October 6, 2025

Link to podcast episode (Unleashed episode 621)

How to get started

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