Ema raises $77M to automate enterprise workflows with AI agents

Ema raises $77M to automate enterprise workflows with AI agents

Ema has closed a $77 million Series B round to expand its platform of coordinated AI agents that automate business processes across human resources, information technology, and finance departments. Bengaluru-based Creaegis led the round, with participation from existing backers Accel, Section 32, and Prosus, according to details first reported by TechCrunch.

The financing brings Ema's total raised to $140 million and values the company at more than four times its 2024 valuation, though the startup declined to disclose the specific figure. The round consisted entirely of primary equity with no debt or secondary sales.

Founded in 2023 by Surojit Chatterjee, a former Google and Coinbase executive, and Souvik Sen, previously at Okta, Ema positions its technology as "AI employees" rather than single-purpose automation tools. The platform orchestrates multiple AI agents to execute multi-step workflows across a company's existing software stack.

Chatterjee told TechCrunch that Ema initially wraps around enterprise applications before customers begin reducing dependence on those 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," he said.

Commercial traction and pricing model

Ema has signed more than 50 active enterprise deals serving over 1 million users who have completed more than 5 million actions through the platform. Customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft.

The company reported 50-fold revenue growth over two years and revenue bookings exceeding $150 million. Chatterjee clarified that the bookings figure represents total multiyear contract value, including two- and three-year agreements, rather than annual recurring revenue. He declined to share the current ARR run rate.

More than 90% of customers have expanded beyond their initial deployment, with some running the technology across dozens of workflows. Net dollar retention stands at approximately 180%, indicating existing customers are substantially increasing their spending over time.

Unlike traditional SaaS vendors, Ema does not charge per seat or per AI token consumed. Instead, pricing ties to task completion and business outcomes. The company maintains gross margins near 80%, which Chatterjee attributed to reduced human support requirements as AI systems learn from deployments.

Competing with frontier labs and services firms

Ema's approach puts it in potential competition with both enterprise software vendors and IT services companies. Chatterjee argued that AI can absorb implementation, integration, and consulting work historically performed by services firms around enterprise software.

"A lot of the services companies are working with us," he 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."

Regarding frontier AI labs like Anthropic and OpenAI, which have expanded enterprise efforts, Chatterjee sees complementary rather than competitive dynamics. Ema's software draws on more than 150 models, including frontier and open-source options, while focusing on domain expertise, integrations, and orchestration. "Progress in frontier models is actually very beneficial to us," he stated.

Why it matters

Ema's growth signals a fundamental shift in how enterprises may purchase technology. Rather than buying point solutions and hiring consultants to integrate them, companies can deploy AI agent platforms that coordinate across existing systems and potentially replace portions of their software stack. The 180% net retention rate suggests customers find measurable value in expanding AI automation once initial deployments prove successful. If this model scales, it could redistribute billions in enterprise technology spending from traditional SaaS licenses and professional services toward AI orchestration platforms.

Expansion plans

The Mountain View-headquartered company now employs nearly 200 people across offices in Bengaluru, London, and Vancouver. Much of the new capital will fund go-to-market expansion, particularly sales and marketing, after focusing primarily on product development in its first years.

Ema has concentrated on U.S. and European customers to date but plans to enter Asia-Pacific, South America, and Middle Eastern markets over the next year.

These details were first reported by TechCrunch.