Ema raises $77 million as enterprise AI pushes into software and IT services

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Ema raises $77M in enterprise AI

Highlights

Ema raised $77 million in a Series B round led by Creaegis, bringing total funding to $140 million with no debt or secondary transactions.
Ema has over 50 enterprise deals, more than 1 million active users, processed 5 million actions, achieved 50x revenue growth in two years, and maintains net dollar retention around 180%.
Gross margins remain close to 80% as Ema replaces traditional software and IT services, with new capital allocated to global go-to-market expansion beyond the U.S. and Europe.

Funding round supports enterprise expansion

As first reported by TechCrunch, Ema has raised $77 million in a Series B round led by Bengaluru-based venture firm Creaegis, with existing investors Accel, Section 32, and Prosus also increasing their stakes. The startup says the financing brings its total funding to $140 million, and the round consists entirely of primary equity with no debt or secondary transactions.

Founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and former Okta executive Souvik Sen, Ema builds what it calls AI employees, systems that coordinate multiple AI agents to automate functions across HR, IT, and finance. The company says its tools work across a customer’s existing applications, allowing businesses to handle end-to-end workflows rather than isolated tasks.

Chatterjee says that model can gradually reduce reliance on some traditional software products, including SaaS platforms, as customers first layer Ema over current systems and then scale back certain applications. He adds that many customers are already moving toward replacing large SaaS applications in some use cases, while Ema uses more than 150 frontier and open-source models to support those deployments.

Customer traction and market pressure build

Ema says it now has more than 50 active enterprise deals, more than 1 million active enterprise users, and over 5 million actions and queries processed. Its customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft.

Over the past two years, the startup says revenue has grown 50-fold and revenue bookings have surpassed $150 million, although it does not disclose its current annualized revenue run rate. Chatterjee says more than 90% of customers expand beyond their initial use case, and that net dollar retention is around 180%, indicating existing clients are increasing spending over time.

The company says AI is also beginning to take on implementation, integration, and consulting work that enterprises have historically outsourced to IT services firms. Chatterjee says Ema maintains gross margins close to 80%, supported by lower human involvement as deployments mature, while pricing is based on task completion and business outcomes rather than software seats or AI token consumption.

Much of the new capital is set to fund go-to-market expansion, especially in sales and marketing, after the company spent its early years focused on product development. Ema, which is headquartered in Mountain View and has offices in Bengaluru, London, and Vancouver, says it has nearly 200 employees and plans to expand beyond its current U.S. and European focus into Asia-Pacific, South America, and parts of the Middle East over the next year.

In our earlier article on AI agent security in enterprises, we explained how AI agents are becoming a new identity class inside corporate environments, requiring tighter governance over permissions, monitoring, and authorization. We also noted that the AI security market is fragmenting into specialized control layers—such as agent identity, data controls, prompts, and auditability—rather than forming one broad category.

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