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Attention

Also known as: Attention AI, Attention.com

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GTM / revenue agentindependentVerified 2026-06-30

AI native revenue platform that records sales calls, auto fills the CRM, drafts follow ups, runs coaching scorecards, and takes the next best action.

Attention is an AI native revenue platform that turns sales conversations into actions and updated records, rather than just transcripts. It records touchpoints across meetings, calls, emails, and the CRM, then uses AI agents to automate the busywork that surrounds selling: writing follow up emails, capturing next steps, filling CRM fields, and grading calls with coaching scorecards. Its central argument is that most tools in this space only watch a call and summarize it, while Attention takes the next best action and, because it acts, can tie outcomes back to its own work and learn from them. The company was founded in late 2021 in New York by Anis Bennaceur and Matthias Wickenburg, former competitors who moved early on large language models.

The day to day value starts with eliminating manual CRM entry. After a call, Attention fills Salesforce or HubSpot records with notes, next steps, pain points, decision criteria, and competitive intel, which teams report saving five to ten hours per rep each week. It drafts personalized follow up emails in under a minute using the customer's own words, generating different types by meeting outcome. Coaching scorecards, customizable with prompts and mapped to methodologies like MEDDIC and BANT, are applied automatically to the right calls so managers can coach more reps and track trends. During live calls, AI battlecards and real time prompts help reps answer questions and stay on methodology.

On top of the conversation data, Attention builds a revenue intelligence layer. It scores every opportunity using AI trained on calls, emails, and CRM data, explains why each score moved, and raises deal risk and churn alerts on red flag phrases in real time. A Super Agent, available in the app and inside Slack, lets teams ask questions across every recorded call and get answers backed by real data without dashboards or manual review. Attention integrates with Zoom, Google Meet, Microsoft Teams, Salesforce, HubSpot, Gmail, Outlook, Slack, and more than two hundred tools overall, and it offers an API. Recording and translation work across multiple languages.

Attention positions itself against conversation intelligence incumbents like Gong by emphasizing action over observation, and it has moved upmarket into enterprise revenue organizations. The company reports running more than twenty million agent actions per month, annual recurring revenue up fourfold year over year, and more than five hundred customers including Abridge, Scale, Lovable, Preply, and BambooHR. It raised a $14M Series A in October 2024 and a $30M Series B in June 2026 led by RTP Global. Attention does not publish pricing; plans are quoted by its sales team and scoped to team size and needs.

Vendor details

Canonical URL

https://www.attention.com

Category

GTM / revenue agent

Subcategory

Revenue intelligence and call automation

Funding status

Independent. Founded in late 2021 in New York by Anis Bennaceur (CEO) and Matthias Wickenburg (CTO). Raised a $14M Series A in October 2024 (led by Alven) and a $30M Series B in June 2026 (led by RTP Global, with Aglae Ventures, Eniac, Alven, and Linea Ventures). Serves 500+ customers including Abridge, Scale, Lovable, Preply, and BambooHR.

Company status

independent

Use cases & customers

Primary use cases

sales call recordingCRM auto-updatefollow-up automationAI coaching and scorecardsdeal scoring and forecasting

Target customers

B2B revenue teamsrevenue operationsenterprise

Deployment options

SaaS

Integrations

Integrates natively with Zoom, Google Meet, and Microsoft Teams for call capture, with Salesforce, HubSpot, and GoHighLevel for CRM, and with Gmail, Outlook, and Slack, alongside more than two hundred integrations overall (Apollo, Asana, Airtable, ActiveCampaign, and others). Offers an API.

In practice

Your reps lose hours after every call updating Salesforce and writing follow ups. Attention fills the CRM fields automatically and drafts a personalized follow up email in under a minute using the customer's own words.

You manage a team and cannot review every call. Attention applies coaching scorecards mapped to your methodology to each call automatically, so you can spot where reps struggle and coach more of them.

You need a straight answer about a deal without digging through recordings. You ask Attention in Slack, and it replies with the stakeholder context, where you left off, and what to focus on next.

Capability coverage

5.0 / 14 capabilities · 36%

Integrations & Tool CallingOver two hundred integrations with native ties to major CRMs (Salesforce, HubSpot), meeting platforms (Zoom, Google Meet, Teams), and email, plus an API, and it takes actions in those systems such as filling CRM fields and sending emails, comprehensive integration and tool calling. Full
Workflow OrchestrationRuns multi step post call automations and an autonomous action engine that executes approved next moves, with customizable prompts and workflows, strong orchestration within the revenue workflow, though scoped to sales rather than general workflow building. Partial
Knowledge Grounding & RAGGrounds answers and actions in the organization's own calls, emails, and CRM data, and the Super Agent retrieves answers across every recorded conversation, a retrieval grounded capability, though the corpus is the customer's conversation history rather than a general document RAG product. Partial
Human Oversight & GuardrailsThe action engine executes the next moves a rep approves, drafts are reviewed and edited before sending, and humans stay in the loop on CRM updates, clear human approval, though there is no runtime content blocking guardrail engine. Partial
Security, Identity & GovernanceNo infosec certifications (SOC 2, ISO), SSO, or access governance controls are documented publicly, though enterprise adoption suggests some controls likely exist. Unable to verify
Observability & AuditabilityBeyond campaign reporting, it tracks the actions its agents take and ties outcomes back to those actions in a closed loop, and explains why each deal score moved, a degree of agent action auditability and explainability, though framed as revenue analytics rather than execution tracing. Partial
Memory & State PersistenceExplicitly retains conversations as persistent team operating memory that the agent recalls across deals, surfacing stakeholder context and where you left off, a state persistence capability, though it is a conversation memory store rather than a general agent memory layer. Partial
Deployment & Data ResidencyDelivered only as a cloud SaaS platform with no self host, on premises, or in VPC deployment option documented. Unable to verify
Prebuilt Agents, Templates & PacksShips prebuilt and customizable scorecard templates and methodology frameworks (MEDDIC, BANT) plus follow up email templates, reusable building blocks, though not a marketplace of installable agents. Partial
Triggers & Channel CoverageTriggers on call completion, on real time in call signals and red flag phrases, and on deal risk, operating across meetings, email, CRM, and Slack, broad trigger coverage, though it reacts to internal sales signals rather than driving multichannel outbound. Partial
Model Flexibility & RoutingUses LLMs internally but does not expose model choice or routing to the user as a configurable capability. Unable to verify
APIs, SDKs & MCP ExtensibilityOffers an API and highly customizable prompts and workflows on top of more than two hundred integrations, an extensibility surface, though no SDK or MCP server is documented. Partial
Testing, Debugging & OptimizationScorecards evaluate rep performance and the system learns from outcomes internally, but there is no user facing agent testing, debugging, or evaluation product. Unable to verify
Browser & Computer UseNot applicable. Attention captures calls and updates systems through integrations and an API, not through browser automation or computer use. Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Custom pricing · contact sales (no public rate card)

Custom enterprise subscription, quoted by sales and scoped to team size, seats, and needs; typically annual

Contact onlyMedium variable cost

Included quota

Custom, sales-quoted pricing scoped to team size and needs. No public tiers or dollar figures. ACV has grown sharply as the company moved upmarket. Platform spans call recording, CRM auto-update, follow-up automation, scorecards, deal scoring, forecasting, and a Super Agent.

What is public

That pricing is custom and sales-quoted is public; no dollar figures, tiers, free tier, or trial pricing are disclosed.

Billing mechanics

Custom enterprise subscription quoted by sales, scoped to team size and needs, typically annual. Quote only.

Cost watchouts

Pricing is opaque and positioned at the higher end as the company moves upmarket; total cost depends on seat count and scope negotiated with sales. Value depends on broad team adoption.

Variable cost rationale

Sold as a seat based enterprise subscription rather than a per action meter, so the contract value is relatively predictable once set, but with no public rate card the cost depends entirely on negotiated seats and scope, and the platform is positioned at the higher end as it moves upmarket.

Additional watchouts

No public pricing means budgeting requires a sales conversation, and at least one review flagged cost as a downside. As an enterprise revenue platform, value depends on adoption across the team and clean CRM and call integration.

Overage / add-ons

Not public; enterprise contracts typically scoped by seats and usage.

Sales call required

Yes — required for paid access

Free / trial

No public free tier or trial pricing; demo and quote through sales.

Lowest paid plan

Not publicly disclosed (custom, sales-quoted, scoped to team size)

Commercial notes

Enterprise, sales-led pricing. Positioned upmarket against conversation intelligence incumbents like Gong, with rapidly growing ACV. Strong recent funding ($30M Series B in June 2026) signals continued enterprise push.

Key ambiguities

No public pricing at all; the entire rate card requires contacting sales.

Cancellation / refund

Not public; enterprise terms are contractual, typically annual.

Support SLA / resale

Live onboarding sessions, webinars, documentation, and a support team; enterprise support implied by its customer base.

Missing data

All dollar figures, seat pricing, tier structure, and trial terms are not public.

Verified 2026-06-30

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Researched from public vendor sources. See Methodology.