Ema Secures $77 Million Series B to Push AI-Driven Automation into Enterprise Software

Ema, a startup that strings together multiple AI agents to automate corporate processes, announced a $77 million Series B round on September 23, 2026. The capital infusion, led by Bengaluru-based venture firm Creaegis, is intended to accelerate the company’s go-to-market push as artificial-intelligence tools begin to compete for the budgets historically devoted to enterprise software and consulting services.

Founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and ex-Okta leader Souvik Sen, Ema positions its technology as “AI employees” that coordinate a suite of agents across HR, IT, finance and other functions. Rather than handling isolated tasks, the platform integrates with a firm’s existing applications to execute multi-step workflows, with the long-term goal of reducing reliance on traditional SaaS products. “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 told TechCrunch.

The round brings Ema’s total funding to $140 million and more than quadruples its valuation from the 2024 round, though the company declined to disclose the new figure. Existing backers Accel, Section 32 and Prosus participated by increasing their stakes. The financing consists entirely of primary equity; no debt or secondary sales were involved.

Ema’s traction metrics suggest the model is gaining market acceptance. The startup reports over 50 active enterprise contracts, more than one million active enterprise users, and in excess of five million actions and queries processed to date. Its client roster includes NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro and Microsoft. Over the past two years, revenue has reportedly grown fifty-fold, and total contract bookings have topped $150 million, reflecting the value of multi-year agreements rather than annual recurring revenue. Chatterjee noted that more than 90 percent of customers have expanded beyond their initial use case, driving a net dollar retention rate of roughly 180 percent.

The company’s economics also appear robust. Gross margins hover near 80 percent, a figure Chatterjee attributes to the decreasing need for human support as the AI agents learn from each deployment. Pricing is tied to task completion and business outcomes rather than seat counts or token consumption, a structure designed to align cost with value delivered.

Ema’s approach differs from the offerings of frontier AI labs such as Anthropic and OpenAI, which are also moving deeper into enterprise use cases. While those labs focus on model development, Ema claims to be model-agnostic, drawing on more than 150 models, including both cutting-edge and open-source options, and concentrating on the domain knowledge, integrations and orchestration required to automate end-to-end processes.

With nearly 200 employees and offices in Mountain View, Bengaluru, London and Vancouver, Ema plans to channel the new capital into expanding its sales and marketing teams. The next phase will target markets beyond its current U.S. and European base, with a particular focus on Asia-Pacific, South America and parts of the Middle East over the coming year.

The infusion underscores a broader shift: AI-driven orchestration platforms are beginning to erode the traditional revenue streams of SaaS vendors and consulting firms. As Ema scales, founders and operators will watch closely to see whether AI employees can deliver the promised efficiency gains while reshaping the economics of enterprise software procurement.