REReevo

Reevo

Editor's Pick

An AI-native sales platform that runs the entire go-to-market motion — prospecting, outreach, dialer, meeting intelligence, CRM and forecasting — on one shared memory layer, from first touch to closed won.

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Updated: 2026-09-08 Reevo
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reevo.ai/
REReevo
Reevo
An AI-native sales platform that runs the entire go-to-market motion — prospecting, outreach, dialer, meeting intelligence, CRM and forecasting — on one shared memory layer, from first touch to closed won.
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What is Reevo?

Reevo is an AI-native sales platform (a 'revenue operating system') that replaces the fragmented stack of a CRM nobody updates, a separate outbound tool, a dialer and a call recorder. It is organized around four stages — Find, Connect, Sell, Manage — all built on a single AI foundation and one memory layer where the context of every call, email and deal compounds instead of being scattered. Find builds TAM account lists with one-click contact and company enrichment and built-in web research; Connect covers domain purchase, inbox warming, multi-channel sequences and dialing, a smart scheduler and reply tracking; Sell provides automatic meeting prep, call recording and transcription and smart task logging; Manage delivers automatic deal updates, evidence-based forecasting, reporting and weekly coaching insights. Its 'Ask Reevo' copilot answers natural-language questions about pipeline, deal health, objections and next steps, citing the exact call, email or record behind each answer, and it also works inside Slack. Founded by a team that scaled DoorDash's engineering organization and backed by Khosla Ventures and Kleiner Perkins, Reevo offers one-click migration from HubSpot and Salesforce and can either run the whole motion out of the box or sit alongside tools you already use. It launched in November 2025 and holds a 4.9/5 G2 rating.

4.9
Rating
Paid
Pricing
1+
Platforms
0
Saves

Pros

  • Genuinely unified GTM stack — prospecting, sequences, dialer, meeting intelligence, CRM and forecasting in one place.
  • AI reasons over the full context of every deal in one system, then drafts follow-ups, updates the CRM and flags risk on its own.
  • Strong backing ($80M from Khosla Ventures and Kleiner Perkins at a $500M valuation; ex-DoorDash leadership) with very fast product shipping and a 4.9/5 G2 rating.
  • Forecasts and coaching are grounded in real call evidence rather than rep-reported optimism.
  • One-click migration from HubSpot/Salesforce and a Slack-native Ask Reevo assistant lower switching friction.

Cons

  • No public pricing — plans are custom-quoted by sales, making budgets hard to estimate upfront.
  • Very new (launched November 2025), with a shorter track record than Salesforce, Outreach or Apollo.
  • Best for teams consolidating their entire stack; it can be overkill if you only need a sequencer.
  • Some advertised capabilities such as intent signals and lead scoring are still rolling out.

Capabilities

Unified Find-Connect-Sell-Manage motion
Contact & company enrichment
Sequences, dialer, inbox warming
Call recording and transcription
Evidence-based forecasting
Ask Reevo Slack copilot

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Who is it for

B

B2B SDR / outbound teams

Build TAM lists, enrich them and run warmed multi-channel sequences and dialing without stitching tools together.

A

Account executives

Walk into every call fully prepped and let AI draft follow-ups and update records, winning hours back each week.

S

Sales managers & RevOps

Trust evidence-based forecasts and coach every rep weekly from real call recordings.

S

Startups replacing a Frankenstack

Migrate from HubSpot or Salesforce in one click and run the whole motion out of the box.

S

Small GTM teams & founders

Replace several vendors with one AI-native platform and focus on selling rather than admin work.

Developer
Reevo
Platforms
Web N/A
Windows N/A
macOS N/A
iOS N/A
Android N/A
Huawei N/A
Linux N/A
Languages
English
Founded
2025
Updated
2026-09-08
Company
Founded 2025

FAQ

An AI-native sales platform that unifies prospecting, outreach, dialer, meeting intelligence, CRM and forecasting on one shared memory layer.