Artificial intelligence (AI) model marketplace OpenRouter has raised $113 million in new funding.
The company said its Series B round, announced Tuesday (May 26), will allow it to expand its routing, governance, and optimization capabilities as businesses increasingly deploy AI.
The announcement cited a 2026 Deloitte study which found that more than two-thirds of enterprises are already consuming more than one billion tokens—the fundamental unit of AI data—each month.
Against this backdrop, OpenRouter is seeing companies use multiple models and providers “optimize for cost, latency, and capability,” bringing out operational complexity requiring centralized control.
“Running inference at scale is fundamentally a multi-model problem. The era of picking a single model is over,” said Alex Atallah, CEO and co-founder of OpenRouter. “Success now depends on continuously routing across a changing market. Because OpenRouter sits in the flow of production traffic, we can optimize every request for cost, performance, and reliability in real time.”
In an interview with the New York Times, Atallah likened his company to Stripe, the financial infrastructure company that handles all payments for its clients via one access point.
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“A lot of what we do is try to help people find the right vendor for the job,” he said.
The same report cited a source familiar with the matter who said that the Series B values OpenRouter at $1.3 billion. That figure is more than double the company’s valuation from its previous round of funding last year.
In other AI news, recent PYMNTS Intelligence research shows that a growing share of America’s hourly workers are encountering the technology at work before they feel financially prepared for it.
“While AI is spreading across workplaces of every type, low-income workers are receiving less training, reporting lower confidence and showing fewer financial buffers to absorb disruption,” PYMNTS wrote earlier this week.
The research also suggests that AI’s impact is moving beyond Silicon Valley and corporate offices into the Labor Economy. That’s the warehouses, restaurants, hospitality, logistics and caregiving jobs that account for a large share of day-to-day consumer spending. Around one third of workers now fall into this group, representing about 60 million adults and around 15% of annual GDP.
According to the research, 37% of these workers said their employer had introduced new automation or AI tools during the last 12 months, while nearly 60% of Labor Economy workers affected by AI said they had gotten trained on the new technology.
And only 39% of these workers reported feeling confident they could find comparable-paying work if technology did away with their current position.
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