Momentum, a customer intelligence platform, has raised $13 million in a Series A funding round led by FirstMark Capital with participation from Stage 2 Capital. Existing investors, including Basis Set Ventures and Leadout Capital, also participated in the round. The latest funding brings its total capital to $18 million.
According to the press release, Momentum plans to use this funding to accelerate product development, drive innovation for enterprise revenue teams, and support further business expansion.
Amish Jani, Founder and Managing Partner at FirstMark Capital, said: “In a world where companies are adding AI to their product so they can check a box, Momentum has built transformative AI capabilities that have shown up in tremendous customer love. We heard from their customers, many in our portfolio, who are thrilled by the process automation and actionable insights Momentum enables. We’re excited to be an investor, and I’m personally looking forward to joining the board and working alongside Santi, Ashley, and Moiz to realize their vision.”
Santiago Suarez Ordoñez, Co-founder and CEO at Momentum shared: “Momentum is uncovering insights for revenue leaders that they only dreamt of before. We’re helping CROs make better, smarter decisions. The traction and incredible retention we’re seeing can only come from driving real impact for our customers, and what makes me most excited is that we’ve just uncovered the tip of what’s possible.”
About Momentum:
Momentum transforms sales calls and emails into actionable customer intelligence, boosting revenue, speeding up sales cycles, and enhancing GTM observability. It integrates seamlessly with existing tools, using AI and automation to capture and analyze data from calls, emails, and Slack without requiring a new platform. Momentum helps predict and prevent churn, alerts revenue leaders to forecast risks, streamlines processes, and automates routine tasks. Its AI-driven insights uncover blind spots and optimize operations, enabling customer-facing teams to work more efficiently.
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