Series B led by RTP Global fuels development of an action‑driven AI engine that automates follow‑ups, CRM updates and next‑play recommendations for sales organizations.
Attention, the AI platform built for revenue teams, announced a $30 million Series B financing round on June 24, 2026. The round was anchored by RTP Global and included returning backers Aglaé Ventures, Eniac, Alven, new investor Linea, plus a syndicate of angels drawn from the company’s own customer base. The capital is earmarked for scaling the firm’s “agentic” capabilities and for engineering an autonomous action engine that will surface high‑impact next steps for sales reps and execute approved actions in real time.
From Observation to Action
Most AI tools in the sales stack sit on the sidelines: they listen to calls, generate transcripts, and produce summaries. Attention flips that model on its head. The platform not only drafts follow‑up emails and logs activity in the CRM, it also initiates the next sales play—whether that means scheduling a demo, sending a proposal, or updating a lead status. By taking the actual follow‑up, the system can close the feedback loop and directly attribute revenue outcomes to its own interventions, a capability that pure observation tools lack.
Since the launch of Attention’s agentic workflow, the service has processed more than 20 million automated actions each month. That activity has translated into a four‑fold increase in annual recurring revenue year‑over‑year, while average contract value has risen ten‑fold over the past two years. The customer roster now exceeds 500 firms, ranging from health‑tech pioneer Abridge to language‑learning platform Preply, talent‑matching service Lovable, AI‑driven scaling financial platform Scale, and HR software BambooHR.
Open‑Source Experiment Sparks Community Interest
Earlier in June, co‑founder and chief executive Anis Bennaceur released a stripped‑down version of Attention’s core logic on LinkedIn. The move generated more than 500 comments from developers and revenue leaders eager to test the technology, underscoring a market appetite for tools that move beyond passive analytics toward actionable automation.
Tangible Business Results
Customers have begun reporting measurable revenue impacts that go beyond time savings. Abridge, a healthcare AI company, credits Attention with a five‑fold increase in coaching efficiency and a concurrent four‑fold lift in sales growth. Unify, another client, saw its win rate climb by 40 percent after deploying the platform’s automated follow‑up workflows. In each case, the performance boost is directly linked to the system’s ability to act on insights rather than merely record them.
“Attention serves as a fundamental operating layer across our go‑to‑market. It’s one of those win‑win‑win solutions — a win for the rep, a win for the company, and a win for managers. The ability to customize prompts and workflows has been a game changer for our forecasting accuracy and pipeline hygiene.” — Jeremy von Halle, VP of Revenue Operations, Abridge
“The simplest way I describe Attention is that we automate smarter work for sales teams over time. Most software in this space watches the call and writes up what happened. We take the next best action, and because we take it, we can see what actually worked and didn’t, and get smarter every time we do.” — Anis Bennaceur, Co‑founder and CEO, Attention
These endorsements highlight a shift in enterprise AI from passive insight generation to proactive execution—a transition that could reshape how revenue teams allocate their time and measure the ROI of AI investments.
Roadmap: An Autonomous Action Engine
The fresh funding will accelerate development of an “autonomous action engine.” The envisioned system will rank each rep’s potential next moves by projected revenue impact, allow users to approve the top recommendations, and then automatically carry out the selected actions. Crucially, the engine will capture the outcome of every executed step, feeding that data back into the model to refine future suggestions—a closed‑loop learning process that promises continuous performance gains.
Founders and Investor Landscape
Attention was founded in 2021 by Anis Bennaceur (CEO) and Matthias Wickenburg (CTO), former rivals who joined forces to tackle the inefficiencies of sales automation. The Series B round also attracted a cohort of angel investors who are already customers of the platform, including Preply co‑founder and CEO Kirill Bigai, Pavilion CEO Sam Jacobs, and senior executives from Engine, Abridge, and Scale AI.
Market Implications
The announcement arrives as the enterprise AI market continues to mature, with a growing emphasis on “actionable AI” that can directly influence business processes. While large language models excel at generating text, the challenge for vendors is embedding those capabilities into workflows that drive measurable outcomes. Attention’s focus on autonomous execution positions it alongside emerging competitors that aim to turn AI insights into concrete business moves—an approach that could accelerate adoption among revenue‑centric organizations seeking to streamline repetitive tasks and improve forecast reliability.
Outlook
If the autonomous action engine lives up to its promise, it could reduce the manual overhead of sales follow‑ups by a substantial margin, freeing reps to focus on high‑value engagements. The ability to tie each automated action back to revenue results also offers a clearer justification for AI spend, a factor that CFOs and revenue leaders are increasingly demanding.
Attention’s rapid growth, robust customer base, and now a sizable war chest suggest the company is well‑positioned to influence the next wave of revenue‑team automation. How quickly the platform can scale its autonomous capabilities while maintaining accuracy and compliance will be a key metric for observers of the AI‑driven sales technology space.
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