Ema Raises $77M as AI Agents Start Replacing Enterprise Software and Services

Ema Secures $77 Million to Expand AI Employees Across Enterprises

Ema has raised $77 million in Series B funding led by Bengaluru-based venture firm Creaegis, with existing investors Accel, Section 32, and Prosus increasing their stakes1

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. The financing brings the startup's total funding to $140 million and more than quadruples its valuation from its last funding round in 20241

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. Founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and ex-Okta executive Souvik Sen, Ema deploys what it calls "AI employees"—systems that coordinate multiple AI agents to automate corporate processes across HR, IT, and finance1

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AI Agents Challenge Traditional Enterprise Software and Services

The funding comes as enterprise AI begins competing for dollars traditionally spent on enterprise software and IT services. Chatterjee sees Ema's model eventually reducing companies' reliance on traditional SaaS applications. "Many of our customers are already on the way to replace [large SaaS applications] completely, removing dependency on them, because they are mostly becoming like a database," Chatterjee said1

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. Ema first "wraps" around an enterprise's existing applications before customers can reduce their dependence on some of those products—and, in some cases, replace them altogether1

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. The startup's AI agents are designed not to answer questions but to take actions upon request and execute complex tasks within enterprise software systems2

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. Once given a task, they plan how to complete it, execute within the applications and systems companies already use, check their own work, and notify human overseers when approval is needed for sensitive actions2

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Ema's AI-Driven Automation Gains Traction at Enterprise Scale

Ema's approach is already gaining traction. The agentic AI employee startup has more than 50 active enterprise deals and over 1 million active enterprise users, handling more than 5 million actions and queries1

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. Its customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft1

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. Over the past two years, Ema said its revenue has grown 50-fold, while revenue bookings have surpassed $150 million1

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. Chatterjee said the bookings figure includes the total value of multiyear contracts, including two- and three-year deals, rather than representing annual recurring revenue1

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. More than 90% of Ema's customers have expanded beyond their initial use case, with some deploying the technology across dozens of enterprise workflows1

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. The startup's net dollar retention rate is around 180%, meaning existing customers are spending substantially more with Ema over time1

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Real-World Impact: Wipro and Hitachi Deploy AI Employees

Consulting firm Wipro has deployed an Ema-powered AI assistant for more than 240,000 employees spread across 65 countries2

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. Those AI assistants handle around 2.9 million queries per year across approximately 100 automated workflows, leading to a 50% reduction in the number of IT service management tickets2

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. Hitachi moved from concept to full production in less than four weeks, integrating Ema's AI agents with more than 20 enterprise systems2

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. Support ticket volumes are down 30%, while employees have increased their efficiency by 70%2

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. Ema's agents now handle more than 1 million IT service management tickets annually, as well as 1 million calls across 15 languages4

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Ema's Product-Led Approach Accelerates Enterprise Adoption

Ema has taken a product-led approach to agentic AI development to make deployments faster and simpler for organizations. With its AI agent platform, customers can implement prebuilt AI employees in a specific area, such as HR, IT, and finance, without leaning on expensive professional services or designing their own governance and control frameworks first2

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. They can also use its tools and frameworks to design their own specialized employees2

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. "Our customers are not running experiments; they are running their HR, IT and finance operations on AI Employees at a scale of millions of interactions a year," Chatterjee said4

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. "This round lets us bring that to many more enterprises still stuck in the pilot stage." Chatterjee told SiliconANGLE that enterprises don't want to deal with the hassles of integrating new software and tools—they just want to get work done2

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Ema Leverages Frontier Models Without Competing With AI Labs

In recent months, major AI companies like Anthropic and OpenAI have pushed deeper into the enterprise market where Ema operates1

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. Anthropic has expanded efforts to bring Claude into companies' core operations, including financial and legal work, while OpenAI has established teams of forward-deployed engineers who work alongside customers to put generative AI into production1

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. However, Chatterjee does not see the frontier AI labs as direct competitors. He told TechCrunch that Ema's software can draw on more than 150 models, including frontier and open-source models, while the startup focuses on the domain knowledge, integrations, and orchestration needed to automate corporate processes end-to-end1

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. "Progress in frontier models is actually very beneficial to us," Chatterjee stated1

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Disrupting IT Services While Maintaining Strong Margins

Ema is also looking beyond the software itself. AI can take over some of the implementation, integration, and consulting work that companies have traditionally paid IT services firms to perform around enterprise software1

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. "A lot of the services companies are working with us," Chatterjee said1

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. "They are also dramatically changing or disrupting their own business models because they understand the human-forward model may not be the best model going forward." Despite taking on work traditionally handled by software and services providers, Chatterjee said Ema has maintained gross margins of close to 80%1

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. The startup requires less human support as its AI systems learn from deployments, helping improve margins over time1

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. Ema does not charge customers based on software seats or the number of AI tokens they consume. Instead, its pricing is tied to the completion of tasks and business outcomes1

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Expansion Plans Focus on Go-to-Market and Executive Hiring

Much of Ema's new capital will go toward expanding its go-to-market operations, particularly sales and marketing, after spending its first years largely building the product1

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. The Mountain View-headquartered startup has grown to nearly 200 employees and has offices in Bengaluru, London, and Vancouver1

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. Ema will use the cash from the Series B funding to expand its go-to-market teams, hire more executive leaders, and further the development of its AI employees to enhance their capabilities2

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. Prakash Parthasarathy, managing partner and chief investment officer at Creaegis, said Ema is one of only a handful of agentic AI companies that can actually deliver at enterprise scale2

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. "Ema stands apart, and its platform already supports millions of employee interactions at some of the world's largest organizations," he said2

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