Ema raises $77M to turn AI agents into enterprise software replacements
What's the deal? Ema, a startup that uses teams of AI agents to automate corporate processes across HR, IT, and finance, has raised $77 million in a Series B round. Bengaluru-based CreaegisDealroom has a profile for this one. Try Dealroom → led the financing, with existing investors Accel, Section 32, and ProsusDealroom has a profile for this one. Try Dealroom → increasing their stakes.
By the numbers. The round consisted entirely of primary equity, with no debt or secondary transactions. It brings Ema's total funding to $140 million and more than quadruples its valuation from a 2024 round, though the startup declined to disclose the figure. That places the deal above roughly 95% of all-time US Series B rounds in enterprise software.
What's the endgame? Founded in 2023 by former GoogleDealroom has a profile for this one. Try Dealroom → 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 run multi-step business processes across a company's existing applications. Chatterjee sees the model eventually cutting reliance on traditional software, including software-as-a-service (SaaS).
"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 said.
The traction. Ema has more than 50 active enterprise deals, over 1 million active enterprise users, and has handled more than 5 million actions and queries. Its customers include NTT DATADealroom has a profile for this one. Try Dealroom →, HitachiDealroom has a profile for this one. Try Dealroom →, ADPDealroom has a profile for this one. Try Dealroom →, PwCDealroom has a profile for this one. Try Dealroom →, Google, KPMG, Wipro, and Microsoft.
The financials. Ema said revenue has grown 50-fold over two years, with revenue bookings surpassing $150 million. Chatterjee said that figure includes the total value of multiyear contracts rather than annual recurring revenue, and declined to disclose the current run rate. More than 90% of customers have expanded beyond their initial use case.
Why now? AI is beginning to compete for dollars businesses have traditionally spent on enterprise software and IT services. Anthropic has pushed Claude into companies' financial and legal work, while OpenAI has deployed engineers who work alongside customers to put AI into production.
Chatterjee does not see the frontier labs as direct competitors. He said Ema's software can draw on more than 150 models, while the startup focuses on domain knowledge, integrations, and orchestration. "Progress in frontier models is actually very beneficial to us," he said.
The signal: The round reflects a broader race to capture enterprise spending as AI agents mature from single-task tools into systems that run whole workflows. If Ema's "wrap then replace" thesis holds, the pressure lands squarely on the incumbent SaaS vendors it currently sits on top of.
Image credit: Ema
