Ema Raises $77M to Scale AI Agents Across Enterprise Workflows

Ema, a startup deploying teams of AI agents across HR, IT, and finance, has raised $77 million in a Series B round led by Creaegis. The financing brings the company’s total funding to $140 million and arrives as enterprises reconsider how much work should remain inside traditional software and IT-services contracts, according to TechCrunch.

From software seats to completed work

Ema’s platform coordinates multiple agents across the applications companies already use. Rather than automating one isolated task, its systems are designed to execute multi-step processes, check their work, route approvals, and complete workflows across business functions.

That positioning matters because Ema is not selling another chatbot layered on top of SaaS. The company says customers can begin by wrapping existing applications, then reduce dependence on parts of those systems as agent workflows mature. Its pricing is tied to completed tasks and business outcomes rather than software seats or token consumption.

Enterprise traction becomes the proof point

Ema reports more than 50 active enterprise deals, over one million active enterprise users, and more than five million completed actions and queries. Customers named by the company include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft. The startup says revenue grew 50-fold over two years, while bookings surpassed $150 million, a figure that includes multiyear contracts rather than annual recurring revenue.

Ema also claims that more than 90% of customers expand beyond their first use case. Those metrics are company-reported, but they point to the commercial test now facing agent platforms: not whether an agent can complete a demo, but whether it can own a durable business process with measurable reliability.

Builder impact

For AI builders, the signal is straightforward. The valuable layer is moving upward from model access toward orchestration, domain context, integrations, approvals, and observability. Teams building production agents should design around outcomes and failure handling, not just prompts. The winning systems will connect to existing records, preserve human control over critical actions, and make every completed workflow auditable.

Ema plans to use the new capital to expand go-to-market operations and enter more markets across Asia-Pacific, South America, and the Middle East. Its progress will be worth watching as enterprise buyers decide whether agent platforms become a new control layer or simply another integration sitting beside the software they already own.