The revolutionary AI solution called Attention, which has been designed specifically for revenue teams, has recently managed to raise $30 million in its Series B fundraising process led by RTP Global, with additional support coming from Aglaé Ventures, Eniac, Alven, Linea, and prominent enterprise angel investors. The company behind Attention was co-founded in 2021 by two former rivals, Anis Bennaceur and Matthias Wickenburg, and is headquartered in New York. Having raised this amount of money, Attention intends to use this sum of money in order to scale up its agentic software suite even further and enter the enterprise market on a larger scale. In contrast to other solutions focused only on observation and recording of sales calls, Attention takes active measures, such as writing follow-ups, conducting specific sales plays, and updating CRMs. Currently orchestrating over 20 million automated agent actions monthly, Attention boasts a 4x year-over-year surge in annual recurring revenue and a 10x growth in annual contract value over the past two years, serving over 500 marquee enterprise clients including Scale, Lovable, Preply, and BambooHR.
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The newly raised capital will specifically fund the construction of an autonomous action engine designed to surface, rank, and execute a sales rep’s highest-impact, revenue-driving moves based on continuous machine learning. Validating its strategic operational footprint, Jeremy von Halle, VP of Revenue Operations at Abridge, noted, “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.” Ultimately, this substantial funding round marks a critical paradigm shift in the B2B sales intelligence tech stack, moving from passive conversation tracking toward fully autonomous execution systems. As Anis Bennaceur, co-founder and CEO of Attention, perfectly encapsulates, “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.”
