ooligo

Backstory (formerly People.ai)

revenue-intelligence activity-capture · revenue-intelligence · forecasting · deal-inspection · pipeline-analytics
AI-NATIVE MCP API
RevOps
7.1 /10

What it is

Backstory is the company that was called People.ai until 2026-04-21. The product is the same: it captures every email, meeting, call and chat that customer-facing staff have with buyers, matches each activity to the right Salesforce account, contact and opportunity, and then answers questions on top of that record — which deals are real, which are cooling, who at the account has gone quiet. The rename came with a new pitch (“Revenue Answers Platform”), and people.ai now 301-redirects to backstory.ai.

The company was founded in 2016 by Oleg Rogynskyy and has raised roughly $200 million, including a $100 million Series D in August 2021 at a $1.1 billion valuation, led by Akkadian Ventures and Mubadala Capital. Jason Ambrose, previously SVP of Marketing and Strategy, took over as CEO on 2025-10-30; Rogynskyy stayed on the board. Named customers include Red Hat, AMD, OpenAI, Zscaler, Palo Alto Networks, Five9 and AVEVA, and the vendor claims 100,000+ sellers on the platform.

The question this page answers: do you buy activity capture separately from Gong or Clari, or from Salesforce itself?

Why it shows up in RevOps stacks

  • Activity capture is the core. Backstory reads email and calendar (Gmail, Outlook), calls and meetings (Zoom, Teams) and chat, then writes matched activity into the CRM without reps logging anything. CRM support listed today is Salesforce, Microsoft Dynamics and Oracle, including more than one CRM at once. HubSpot is not on the list. If your CRM hygiene problem is “activities are missing or attached to the wrong opportunity”, this is the job it was built for.
  • Forecasting sits on the same record. AI-native Forecasting went GA on 2025-10-02: a bottoms-up forecast inside Salesforce, with agents that fill in deal qualification fields from captured activity and a “Top Stories” view that rolls deal risk up the pipeline. The pitch against Clari is that the forecast starts from what buyers actually did, not what reps typed.
  • MCP is live for every customer. The MCP integration shipped on 2026-02-18, available to all customers at launch, and connects Claude, Microsoft Copilot, ChatGPT, Gemini and custom agents to the captured activity plus CRM data. Red Hat’s CRO Andrew Brown is quoted in the launch. That means an analyst can ask “which commit deals have had no exec contact in 30 days” from a chat window instead of building a report. See what an MCP server is.
  • Analyst standing. Named a Visionary in Gartner’s first Magic Quadrant for Revenue Action Orchestration (December 2025, 12 vendors); Gong, Clari and Outreach were the Leaders.

Pricing

No public price list. The pricing page describes a hybrid model: you pay per connected customer-facing person (reps, CS, channel partners), plus a prepaid allotment of AI “answers” (risk alerts, deal summaries, coaching flags). Viewers are unlimited and carry no seat fee. Backstory calls its true-up policy “True Forward”: no mid-term overage bills, and usage changes are priced at renewal.

Vendr’s buyer data, checked today, shows a median annual contract of $24,480 across 48 purchases, a range of $2,000 to $123,336, and average negotiated savings of 15%. Third-party pricing guides cite around $50 per connected user per month as the entry point.

Read that as: a 40–60 rep team capturing activity and running forecasts lands at $20,000–$35,000 a year. A 300-rep enterprise rollout with forecasting and heavy answer consumption clears $100,000. Implementation is quoted separately.

Best for

RevOps leaders and CRO offices at Salesforce or Dynamics companies with roughly 75 to several thousand customer-facing staff, where forecast calls stall on “what is really happening in this deal” and CRM activity data is too thin to answer it. Strongest fit: email- and meeting-heavy enterprise sales, several teams (sales, CS, partners) touching the same accounts, and a RevOps team that wants activity data inside Salesforce reports rather than locked in a separate app.

Not for you on HubSpot, which is not supported. Also not for you under about 30 reps, where a manager reading the CRM weekly costs less than the contract and the implementation.

Versus the alternatives

  • Gong — the category’s largest vendor by revenue, past $500 million ARR in May 2026. Pick Gong when recorded calls are the primary signal and call coaching is the job. Pick Backstory when the deal story lives in email threads and calendars across large buying committees, and the job is getting all of it matched into Salesforce.
  • Clari (Clari + Salesloft) — Leader in the same Magic Quadrant, with its own Capture module and an MCP server. Pick Clari when the Friday forecast call is a governance process and you already run Salesloft for engagement. Pick Backstory when you want capture and forecasting from a vendor that does not also sell you the engagement layer.
  • Salesforce’s own capture — Einstein Activity Capture is included in Salesforce editions and, since the Summer ‘25 release, writes new synced email as native Salesforce records, but historical activity stored under the old model was not migrated. Salesforce also closed its acquisition of Momentum, the most prominent recent entrant in call and activity capture, on 2026-03-02 and sells it inside Agentforce. Pick native when you are committed to Agentforce and email-plus-calendar sync is enough. Pick Backstory when you need call, meeting and chat capture matched at opportunity level, or you run more than one CRM.
  • Aviso or BoostUp — pick one when forecasting is the only gap and you already have acceptable activity data.

The direct answer to the question above: if Gong or Clari already write complete, correctly matched activity into Salesforce, do not buy Backstory on top. Audit match rates first; buy it when the audit shows gaps.

If none of these fit, the missing piece is usually the data model. No capture tool fixes opportunity contact roles nobody fills in or an account hierarchy nobody owns.

Watch-outs

  • Consumption pricing moves at renewal. “True Forward” means no surprise mid-term bill, but heavy answer usage in year one becomes the year-two price. Guard: get the answer allotment, the unit price for additional answers and a usage report in the order form, and cap the renewal uplift in writing.
  • Setup takes longer than the pitch. The vendor quotes two to four weeks; 2026 third-party reviews report closer to three months, and match quality depends on how clean your Salesforce account and contact data already is. Guard: pilot one region for 60 days with a written target for the share of activities matched to an open opportunity, and make full rollout conditional on hitting it.
  • The vendor is mid-transition. New CEO in October 2025, new name in April 2026, and no priced funding round since 2021. Guard: confirm captured activity is written into your CRM (so you keep it if you leave), and get data-export and termination-assistance terms in the contract.
  • It reads every buyer email and transcript. Backstory lists SOC 2 Type II and ISO 27001, says customer data is never used to train base models, and lets you switch AI features off per tenant, but its published infrastructure is US-East primary with US-West disaster recovery. Guard: for EU staff and buyers, sign the DPA with explicit retention periods, exclude legal, HR and personal mailboxes from capture, and clear it with your works council before switch-on.
  • MCP widens who can query that data. An AI client connected over MCP reaches emails and transcripts, not just CRM fields. Guard: test the connector with a rep-level account and confirm it respects Salesforce sharing rules before you enable it beyond RevOps.

Related: forecast accuracy · conversation intelligence · revenue forecasting stack