Sona Raises $45 Million to Expand AI Platform for Frontline Workforce
Sona, an AI platform for frontline businesses, raised $45 million in Series B funding led by N47, with backing from Felicis, Northzone, Gradient, and Italian Founders Fund. The round brings total funding to over $100 million as the company expands in the United States and builds out its operational software.
The platform consolidates scheduling, HR, payroll, and business intelligence into a single system. Popeyes and Tao Group use Sona to manage workforce operations and reduce inefficiencies across their locations.
How the Platform Works
Sona's AI analyzes real-time data-bookings, revenue, weather, historical shift performance-to forecast demand and recommend staffing decisions. The system continuously adapts recommendations as conditions change, helping businesses match labor to peak activity periods.
The company recently introduced Forge, an enterprise application builder that lets organizations create custom software tied to their core business data. Companies can combine standard tools with bespoke applications without manual integration work.
The Larger Shift
Sona positions itself as a replacement for workforce management systems that have remained largely unchanged for two decades. The company aims to become the central platform for frontline operations across hospitality, retail, healthcare, and logistics.
Steffen Wulff Petersen, Sona's co-founder and CEO, said the company originally planned a ten-year roadmap. "AI made it a one-year plan," he said. "The old SaaS model delivered one-size-fits-all applications that companies had to adapt to. The next generation delivers the infrastructure and agentic layer organisations build on."
Matthew Cowan, general partner at N47, said the funding reflects the scale of the opportunity. "In a global market supporting billions of workers, AI represents a unique opportunity to uproot entrenched, outdated frontline tools," he said.
For managers overseeing workforce operations, understanding how AI for Operations applies to scheduling, forecasting, and staffing decisions is increasingly relevant to day-to-day work.
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