Ema raises $77M to scale AI agents handling HR, IT, finance tasks

Autonomous AI workers move beyond pilots into production

Ema Unlimited has closed a $77 million Series B funding round to expand its platform of autonomous AI agents designed to handle operational tasks across human resources, IT, and finance departments. Creagis led the round, with substantial follow-on investments from Accel, S32, and Posus, according to details first reported by SiliconANGLE.

The startup differentiates itself from conversational AI tools by building agents that execute work rather than simply answer questions. When assigned a task, Ema's AI employees plan their approach, interact with existing enterprise software systems, verify their own work, and flag sensitive actions for human approval before proceeding.

Product-led deployment accelerates enterprise adoption

Ema has pursued a product-led strategy that provides prebuilt AI employees ready for immediate deployment in specific business functions. This approach eliminates the need for expensive professional services engagements or custom governance frameworks before implementation, while still allowing organizations to build specialized agents using the company's tools.

The model appears to be resonating with enterprise buyers. Ema reports 50x revenue growth over the past two years from an undisclosed baseline, with existing customers more than doubling their spending as they expand initial deployments.

Co-founder and CEO Surojit Chatterjee emphasized that enterprises want deployment-ready solutions rather than experimental projects. "Our customers are not running experiments," Chatterjee said. "They are running their HR, IT and finance operations on AI employees at a scale of millions of interactions per year."

Early customers report measurable operational improvements

Consulting firm Wipro has deployed Ema-powered AI assistants to more than 240,000 employees across 65 countries. Those agents handle approximately 2.9 million queries annually across roughly 100 automated workflows, resulting in a 50% reduction in IT support tickets.

Hitachi moved from initial concept to full production deployment in under four weeks, integrating Ema's AI employees with more than 20 enterprise systems. The company reported a 30% decrease in support ticket volume and a 70% increase in employee efficiency.

Why it matters

While many enterprise AI initiatives remain stuck in pilot purgatory, Ema's traction demonstrates that agentic AI can deliver measurable operational value when designed for immediate deployment. The company's ability to generate millions of annual interactions at scale addresses a critical question facing enterprise technology leaders: whether AI agents can reliably handle high-volume business processes without constant human intervention. The substantial follow-on investments from existing backers suggest institutional confidence in the model's viability.

Ema plans to use the new capital to expand go-to-market teams, recruit executive leadership, and enhance the capabilities of its AI employees. Creagis Managing Partner Prakash Parthasarathy noted that Ema is among a small group of agentic AI companies demonstrating enterprise-scale delivery, with its platform already supporting millions of employee interactions at major global organizations.

Details of the funding round and customer deployments were first reported by SiliconANGLE.