Ema Raises $77M as AI Disrupts Enterprise Software

Ema, a startup leveraging teams of AI agents to automate complex corporate workflows in human resources, IT, and finance, has secured $77 million in fresh capital. This latest funding injection positions the company to aggressively capture market share from traditional enterprise software vendors and IT service providers, signaling a significant shift in how businesses approach operational efficiency.

The Series B round was led by Bengaluru-based venture capital firm Creaegis. Existing backers, including Accel, Section 32, and Prosus, also increased their holdings in the deal. This financing pushes Ema’s total capital raised to $140 million and more than quadruples its valuation compared to its previous round in 2024. The company confirmed that the transaction consisted entirely of primary equity, excluding any debt or secondary transactions. Notably, Ema declined to disclose its specific post-money valuation.

This financial milestone arrives as artificial intelligence begins to divert spending away from legacy enterprise software and IT services. Startups, major AI research labs, and established software giants are now competing fiercely for these budgets. Founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and ex-Okta executive Souvik Sen, Ema differentiates itself through its “AI employees.” These systems coordinate multiple AI agents to execute multi-step business processes across existing applications, rather than addressing isolated tasks.

Chatterjee envisions a future where this model drastically reduces reliance on traditional SaaS products. He explained that Ema first integrates with an enterprise’s current tech stack before allowing customers to diminish their dependence on those tools, potentially replacing them entirely.

“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.

Navigating the Frontier AI Landscape

Major AI laboratories have recently intensified their push into the enterprise sector, creating a dynamic competitive environment. Anthropic is expanding efforts to embed its Claude model into core corporate operations, covering areas such as finance and legal work. Similarly, OpenAI has deployed teams of forward-deployed engineers to assist customers in moving AI solutions into production.

Despite these moves, Chatterjee does not view frontier AI labs as direct threats. He noted that Ema’s platform can draw upon more than 150 models, encompassing both frontier and open-source options. The company’s competitive edge lies in its deep domain knowledge, robust integrations, and orchestration capabilities required to automate end-to-end business processes.

“Progress in frontier models is actually very beneficial to us,” Chatterjee stated.

Ema’s strategy is gaining significant momentum. The startup currently manages over 50 active enterprise deals and serves more than 1 million active enterprise users. To date, it has processed over 5 million actions and queries. Its client roster includes industry heavyweights such as NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft.

Financial metrics highlight rapid growth. Over the past two years, Ema reported a 50-fold increase in revenue, with bookings surpassing $150 million. Chatterjee clarified that this figure represents the total value of multiyear contracts, including two- and three-year agreements, rather than annual recurring revenue. He declined to share the company’s current annualized revenue run rate.

Customer retention and expansion remain strong indicators of product-market fit. More than 90% of Ema’s clients have expanded their usage beyond initial use cases, with some deploying the technology across dozens of distinct workflows. The company boasts a net dollar retention rate of approximately 180%, indicating that existing customers significantly increase their spend over time.

Disrupting Service Models and Pricing Structures

Ema is also challenging the business models of IT services firms. Chatterjee suggested that AI can absorb implementation, integration, and consulting tasks traditionally billed to companies by service providers.

“A lot of the services companies are working with us,” Chatterjee said. “They are also dramatically changing or disrupting their own business models because they understand the human-forward model may not be the best model going forward.”

Despite taking on work typically handled by software and services vendors, Ema has maintained gross margins close to 80%. Chatterjee attributed this efficiency to the fact that the startup requires less human support as its AI systems learn from deployments, thereby improving margins over time.

Furthermore, Ema has rejected conventional pricing structures based on software seats or token consumption. Instead, Chatterjee explained that pricing is tied directly to the completion of tasks and achieved business outcomes.

The new capital will primarily fund go-to-market expansions, specifically in sales and marketing. After years focused on product development, the Mountain View-headquartered company has grown to nearly 200 employees and maintains offices in Bengaluru, London, and Vancouver. While Ema has historically concentrated on customers in the U. S. and Europe, it plans to expand into new markets over the next year, targeting regions across Asia-Pacific, South America, and parts of the Middle East.