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Russian (RU) Paid.ai on Sunday announced that it closed a $21 million oversubscribed seed round led by Lightspeed Venture Partners. FUSE and existing investor EQT Ventures participated in the round, which brings the startup's total funding to $33.3 million.
Paid.ai aims to solve a mounting problem for software businesses, namely, how to charge for AI agents that eliminate human workers and traditional seat-based pricing models.
Manny Medina, who co-founded sales engagement platform Outreach, leads Paid.ai alongside Manoj Ganapathy, who built billing infrastructure at Salesforce (NYSE:CRM), Raj Dosanjh, an early Palantir Technologies (NYSE:PLTR) employee, and Arnon Shimoni, who joined Pleo during its early stages.
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Paid.ai described its platform as a billing infrastructure designed to help software-as-a-service firms abandon seat-based pricing in favor of outcome-driven models tailored for AI agents. Seat counts are dropping across the industry, and the company said customers are unwilling to pay per seat for software that reduces headcount.
Paid.ai pointed to slowing expansion across publicly traded SaaS companies, with many now reporting single-digit growth or outright declines. According to the company, this trend reflects a broader workforce shift in which AI agents are replacing teams that once drove seat-based subscription revenue.
The company said half of the global workforce is expected to consist of AI agents by 2030, making per-seat pricing unsustainable. Paid.ai described the change as an inflection point similar to the move from on-premise to cloud software, warning that companies failing to adapt risk falling behind.
Early adopters of AI agent billing are seeing revenue gains of 20% to 40% within six months, with faster sales cycles and stronger customer retention, the company said.
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Paid.ai's platform core features include value-proof dashboards that demonstrate the business impact of agents, custom pricing systems aligned to performance, and cost-tracking tools that measure profitability at both the customer and agent level.
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