Payment Sunday Declare It closed a $ 21 million seed seed tour under the leadership Lightspeed Venture Partners. Fate and the current investor EQT Ventures Participated in the tour, which reaches the total start -up financing of $ 33.3 million.
Pay.aii aims to solve a problem of escalating software companies, how to impose fees on artificial intelligence agents who remove human workers and traditional seat pricing models.
Mane MedinaWho participated in the establishment of the sales participation platform communicationLeads Pay.ai side by side Manuj GanabethiThose who built the billing infrastructure in Salesforce (NYSE: CRM), Raj DuzanjahEarly employee of Palantir Technologies (NYSE: PLTR), and Arnon ShimoneWho joined Pleo During its early stages.
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Pay.AI described its platform as a binding infrastructure designed to help software companies as a service to give up a price -based pricing in favor of models that depend on the results allocated to artificial intelligence factors. The number of seats decreases through the industry, and the company said that customers are not ready to pay for each seat for programs that reduce the number of employees.
Pay.AI indicated the slowdown of expansion through public circulation Saas Companies, with many now reporting one growth of two numbers or explicit declines. According to the company, this trend reflects a broader transformation of the workforce as artificial intelligence agents are replaced by the difference that led the revenue of the seat -based subscription.
The company said that half of the global workforce is expected to consist of artificial intelligence agents by 2030, which makes pricing for each seat unclean. Pay.ai described the change as a similar turn to the transition from the local software to the cloud, warning that companies that fail to adapt the hidden risks.
The company said that the first adoption of the bills of artificial intelligence agent witnesses revenue gains ranging from 20 % to 40 % within six months, with faster sales courses and retaining customers.
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Pay.ai’s basic features include value -resistant information panels that show the commercial impact of agents, allocated pricing systems compatible with performance, and cost tracking tools that measure profitability at the customer and agent level.
Pay.AI also provides business intelligence functions that allow Saas companies to operate scenarios whether they are margin analysis, and adapting billing structures in actual time. The company described the transfer of Saas to the agent as its duty, which enhances the opinion that adapting the pricing models is no longer optional.
Pay.AI said that customers are already demanding a results -based pricing, which reflects the value of artificial intelligence agents instead of the number of employees who use software tools. The progress of technology now allows agents to manage complex workflows at predictive costs, creating an opening for developed business models.
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The company added that its mission is to “develop the economy of the artificial intelligence agent by helping builders to obtain funds in exchange for their agents.” Pay.AI’s infrastructure is available for Saas companies ready to move, as the founders encourage leaders to act quickly or risk a competitive floor.
The startup said that companies have approximately 12 months to successfully implement the transition. The institutions that complement this transformation will dominate their categories, while those that delay displacement by the first competitors of artificial intelligence.
The paid financing will be accelerated.
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