Ema, which uses AI agents to automate corporate processes across HR, IT, and finance, raised a $77M Series B led by Creaegis, taking its total funding to $140M

Your enterprise software costs may fall as AI agents begin to perform tasks traditionally requiring dedicated SaaS products and IT services.

Ema, a startup specializing in AI agents for automating corporate processes in HR, IT, and finance, has secured $77 million in a Series B funding round led by Creaegis. This brings Ema's total funding to $140 million and significantly increases its valuation since its 2024 funding round. The company, founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and ex-Okta executive Souvik Sen, deploys "AI employees" that orchestrate multiple AI agents to perform multi-step business processes across existing enterprise applications. Ema aims to reduce companies' reliance on traditional software products by integrating with and eventually replacing some SaaS applications. The startup reports over 50 active enterprise deals, more than 1 million active enterprise users, and has seen revenue grow 50-fold in the past two years, with revenue bookings surpassing $150 million.

Ema's success, evidenced by its substantial funding and rapid revenue growth, signals a growing market acceptance for AI agents that can handle complex, multi-step business workflows, moving beyond single-task automation. This approach directly challenges the traditional enterprise software model, positioning AI employees as a potential replacement for established SaaS applications and even IT services, impacting how businesses procure and utilize technology.

The company's strategy of wrapping around existing applications before facilitating their reduction or replacement, coupled with a high net dollar retention rate of 180%, indicates a strong value proposition for customers seeking efficiency and cost savings. Ema's ability to leverage over 150 AI models and focus on domain knowledge and orchestration suggests a robust platform that can adapt to evolving AI capabilities, setting a new competitive benchmark for enterprise automation.