Ema secures $77 million to expand enterprise AI agent platform
Ema, the Mountain View-headquartered startup that deploys coordinated AI agents for corporate processes, has raised $77 million in a Series B financing led by Bengaluru-based venture firm Creaegis. Existing investors Accel, Section 32 and Prosus also increased their stakes. The round brings Ema's total funding to $140 million and more than quadruples its valuation from its 2024 funding round, although the company did not disclose its current valuation.
The financing consisted entirely of primary equity, without debt or secondary transactions. Founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and former Okta executive Souvik Sen, Ema is targeting work traditionally supported by enterprise software and IT services providers.
AI employees coordinate work across business systems
Ema calls its product “AI employees”: systems that coordinate multiple AI agents to carry out multi-step processes across a company’s existing HR, IT and finance applications. Rather than treating a workflow as one isolated task, the company focuses on the integrations, domain knowledge and orchestration needed to automate it end to end.
Chatterjee said Ema first wraps around an enterprise’s current applications. Customers may then reduce reliance on some products and, in certain cases, replace them. The company can draw on more than 150 frontier and open-source models, while positioning its own platform around the operational layer that connects those models to business systems.
This model places Ema in a growing enterprise market where AI labs and software companies are also seeking spending once directed to SaaS products and IT services. A related enterprise-agent strategy is reflected in enterprise agents with flexible model choice as companies seek model flexibility without relying on a single frontier provider.
Usage, contracts and expansion plans
Ema reports more than 50 active enterprise deals, over 1 million active enterprise users, and more than 5 million actions and queries handled. Its customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro and Microsoft. The startup said revenue grew 50-fold over two years, while revenue bookings surpassed $150 million.
That bookings figure includes the total value of multiyear agreements, including two- and three-year contracts, rather than annual recurring revenue. Chatterjee did not disclose Ema’s annualized revenue run rate. He said more than 90% of customers have expanded beyond their initial use case, sometimes to dozens of workflows, and that net dollar retention is around 180%.
Ema said it maintains gross margins close to 80% and charges for completed tasks and business outcomes instead of software seats or AI-token consumption. The company has nearly 200 employees across offices in Mountain View, Bengaluru, London and Vancouver. It plans to direct much of the new capital to sales and marketing and expand beyond its U.S. and European focus into Asia-Pacific, South America and parts of the Middle East over the next year.
Business implication
For enterprise buyers, Ema’s funding and pricing approach underline the need to assess AI automation at the workflow level: identify repeatable, multi-system processes, define measurable task outcomes, and test whether orchestration reduces implementation effort without weakening oversight of existing applications.