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ByHeather MacAvelia·Independently reviewed·Published Mar 21, 2026·Updated Jul 16, 2026
Independently verified against live vendor data on Jul 16, 2026.

Revenue answers platform connecting email, meetings, and deal signals into clear answers for revenue leaders. Formerly People.ai. OpenAI, Red Hat, HPE, Zscaler, and Rubrik customers. Custom pricing.

How we scored it

Autonomy

4/5

Integrations

5/5

Pricing clarity

2/5

Evidence

5/5

Setup

2/5

The facts

From

Custom

custom

GitHub

Stars

G2

4.5 / 5

630 reviews ↗

MCP

⚡ Server

Exposes server

Reviews

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People.ai rebranded as Backstory in 2024-2025, evolving from an AI revenue operations platform into a broader answers platform that connects every email, meeting, and deal signal across revenue tools and turns them into clear, direct answers for revenue leaders. Founded in 2016 in San Francisco, the company (now Backstory) serves OpenAI, Red Hat, HPE, Zscaler, Rubrik, and more than 100,000 sellers daily, and positions in the AI revenue intelligence category. Pricing is enterprise-only, quote-based, with no public self-serve tier; Backstory does not publish figures, and cost scales with company size, sales team count, and the modules selected. Implementation typically runs 6 to 16 weeks, covering CRM integration (Salesforce, HubSpot, Microsoft Dynamics), email and meeting integration, model training on the company's own sales data, and revenue team rollout. It competes with Gong, Clari Copilot, and Salesforce Sales Cloud Einstein. Backstory's differentiation is answers-first positioning combined with cross-tool data unification. Rather than producing dashboards (the Clari pattern) or call recordings with insights (the Gong pattern), Backstory connects email, meetings, calls, chats, transcripts, and CRM data and provides direct answers to revenue questions such as why a deal slipped or what a rep should do next. It publishes an official MCP server at /platform/mcp: revenue teams connect Claude, Copilot, or ChatGPT to query complete account and deal history directly, without switching tools. Backstory capabilities include AI-powered revenue analysis, automatic email and meeting capture that eliminates manual CRM entry, deal-risk identification, forecast guidance, seller activity insights, and account intelligence, with native integrations across Salesforce, HubSpot, Microsoft Dynamics, Gong, Outreach, Gmail, Outlook, Slack, and Zoom. It serves enterprise B2B revenue teams across SaaS and technology. Backstory is not the right fit for SMB or mid-market teams that need lighter-weight, self-serve RevOps tooling; its value depends on sustained cross-tool integration across RevOps, IT, and sales, and its enterprise pricing excludes smaller teams that would be better served by Gong, Clari Copilot, or HubSpot Sales Hub. The People.ai-to-Backstory rebrand also means older blog posts, case studies, and community resources still reference People.ai. Backstory is certified in SOC 2 Type 2, ISO 27001, GDPR, and CCPA, with ISO 27701, ISO 27017, and CSA STAR also listed on its trust page. Current state Q3 2026: operating as Backstory following the 2024-2025 rebrand from People.ai, with active enterprise adoption (OpenAI, Red Hat, HPE, Zscaler, Rubrik, and 100,000+ daily sellers), a published MCP server, and enterprise, quote-only pricing.

Pricing

custom

Segment

enterprise

Setup

moderate

Verified

Jul 16, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

pipeline-managementconversation-intelligenceforecastingcrm-syncdata-analysis

Pros & Limitations

Editorial assessment

Pros

  • Strong enterprise reference base: OpenAI, Red Hat, HPE, Zscaler, Rubrik, and 100,000+ sellers daily provide peer references that materially de-risk procurement decisions for similar enterprise revenue investments.
  • Answers-first positioning is genuinely differentiated: direct answers to revenue questions like why a deal slipped are more useful than dashboards requiring interpretation, addressing the data-without-insight gap in legacy revenue intelligence tools.
  • Automatic CRM data capture eliminates seller burden: email and meeting capture without manual entry produces materially better data quality than CRM-only approaches that depend on rep discipline.

Limitations

  • People.ai-to-Backstory rebrand creates documentation continuity challenges: older blog posts, case studies, and community resources still reference People.ai, fragmenting brand search results during the transition.
  • Enterprise-only, quote-based pricing is inaccessible to SMB and mid-market teams, which are better served by lighter-weight RevOps tools such as Gong, Clari Copilot, or HubSpot Sales Hub.
  • Implementation complexity from cross-tool data unification: connecting email, meetings, CRM, and sales engagement requires sustained integration investment and cross-functional alignment between RevOps, IT, and sales teams.

Technical Details

Deployment
webapi
Model architectureProprietary
Avg setup time6-16 weeks (sales-led discovery, CRM integration, email/meeting integration, AI model training on sales data, revenue team rollout)
Autonomous rateConfigurable: Backstory AI handles autonomous revenue analysis, deal risk identification, and forecast guidance within configured guardrails; revenue leaders approve all customer-facing actions
Integrations
GmailGongHubSpotMicrosoft OutlookMicrosoft DynamicsOutreachSalesforceSlackZoom
Security
SOC 2 Type IIISO 27001GDPRCCPA

Similar agents

Rating

4.4/ 5

Editorial score

How we score this →

Recognition

MCP Server VerifiedListed 2026
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Industries

B2BEnterpriseSaaS

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