The New York AI platform for revenue teams that stopped at recording the call - and started doing the work that comes after it.
Most sales tools are stenographers. They sit in on the call, write down what happened, and hand the rep a transcript to sift through later. Attention asked a sharper question: what if the software did the next thing instead of describing the last one? That single shift - from recording to acting - is the company's whole thesis, and it is why more than 500 revenue teams have signed on.
Founded in New York at the end of 2021 by Anis Bennaceur and Matthias Wickenburg, Attention began with the least glamorous problem in sales: filling out the CRM. After every call, reps are supposed to log what was said, update deal stages, and draft a follow-up. Most of it never happens. Attention used large language models to read the transcript and populate Salesforce or HubSpot automatically.
That beachhead earned the company the right to do more interesting work. Over the following years it expanded into coaching scorecards, natural-language search across all of a team's customer conversations, forecasting, and - most recently - autonomous agents that draft and send follow-ups and orchestrate the next steps in a deal.
By mid-2026 the platform was processing more than 20 million agent actions a month. Not summaries - actions. In June 2026, Attention closed a $30 million Series B led by RTP Global, with several of its own customers writing checks. The round's headline said it plainly: build the AI system that runs revenue teams, not just records them.
"Most software watches the call and writes what happened," says co-founder and CEO Anis Bennaceur. "We take the next best action, and because we take it, we can see what actually worked." That feedback loop - act, observe the outcome, learn - is what Attention argues separates it from the recording tools that dominated the last decade.
Attention is a multi-product suite rather than a single feature. The pieces share one context layer, so an insight surfaced on a call can trigger a CRM update, a coaching flag, and a follow-up email without a human stitching them together.
Autonomous agents that execute workflows - drafting follow-ups, updating records, orchestrating next steps - through a Claude Connector, an MCP Server, and 200+ integrations.
Records and summarizes meetings across Zoom, Google Meet, and Microsoft Teams, with transcription in 100+ languages for globally distributed teams.
Automatically grades every call against your framework - MEDDIC, BANT, or a custom scorecard - so managers coach on evidence instead of a 2% sample.
The original wedge. LLMs populate Salesforce and HubSpot fields after calls, ending the manual data entry that reps skip and forecasts depend on.
Natural-language search across every go-to-market touchpoint, giving leaders answers on pipeline and activity in minutes rather than days.
A continuously learning system with audit trails that ties each action back to the outcome it produced - transparency, not a black box.
"Most software watches the call and writes what happened. We take the next best action, and because we take it, we can see what actually worked."
Anis Bennaceur — Co-Founder & CEO, AttentionMore than 500 B2B revenue organizations run Attention - the reps on calls, the managers reviewing them, and the leaders forecasting the quarter.
Sales rarely fails for lack of information. It fails in the gaps - the follow-up that never got sent, the CRM field left blank, the coaching note that never made it back to the rep. Attention's pitch is that these gaps are where revenue leaks, and that they are automatable.
The category it competes in is crowded. Gong and Chorus (now part of ZoomInfo) built large businesses recording and analyzing calls. Clari owns forecasting. Salesloft and Outreach own sequencing. Newer agentic entrants like 11x and Monaco are racing in from the automation side.
Attention's differentiation is the line between observation and execution. A recorder tells you the deal is at risk. An agent updates the record, drafts the recovery email, and schedules the next step - then watches whether it worked and feeds that back into the model. Because Attention takes the action, it owns the outcome data that pure analytics tools never see.
That is also why some of its Series B investors are its own customers. When executives at Preply, Pavilion, Abridge, and Scale put money into the round, it signaled a product conviction that no amount of marketing can manufacture.
A Tunisian entrepreneur who leads Attention's product and go-to-market. He frames the company's edge simply: software that takes the next best action can see what actually works.
Leads engineering behind the multi-product AI suite and the context layer that ties actions to outcomes.
The two met as competitors, running rival platforms for creative talent - Swipecast and Mixer - before deciding they would rather build together than against each other. That history shows up in Attention's execution-first culture.
Anis Bennaceur and Matthias Wickenburg launch in New York to automate work out of sales conversations.
Raises seed capital to supercharge sales teams with an AI assistant that autofills CRMs and drafts follow-ups.
Raises to augment all sales functions with AI-powered automations and expand into a multi-product suite.
Closes a round led by RTP Global, crossing 500+ customers and 20M+ monthly agent actions.
The June 2026 Series B was led by RTP Global with participation from returning investors Aglaé Ventures, Eniac, and Alven, new investor Linea Ventures, and angels including executives from Preply, Pavilion, Engine, Abridge, and Scale. It followed a $14M Series A (2024) and a $3.1M seed (2023).
Attention is an AI platform for B2B revenue teams. It transcribes and scores sales calls, auto-updates the CRM, drafts and sends follow-ups, and executes next steps across 200+ tools - going beyond call recording to actually take action.
It was founded in 2021 by Anis Bennaceur (CEO) and Matthias Wickenburg (CTO), who had previously run competing creative-talent startups before teaming up.
Roughly $47M+ across its rounds: a $3.1M seed (2023), a $14M Series A (2024), and a $30M Series B in June 2026 led by RTP Global.
Where Gong and Chorus record and analyze calls, Attention executes the follow-on work - updating records, sending follow-ups, orchestrating next steps - and learns from which actions actually drive wins.
Over 500 B2B revenue organizations, including Abridge, Scale, BambooHR, Preply, Engine, Lovable, and Unify - from high-growth startups to enterprises.