Ema raises $77 million Series B led by Creaegis to scale AI Employees across HR IT and finance

Ema, the Mountain View based enterprise platform for agentic AI Employees, announced a $77 million Series B funding round on September 23, 2026. The round was led by Bengaluru venture firm Creaegis, with existing investors Accel, Section 32 and Prosus all increasing their stakes. The financing brings Ema's total funding to $140 million and more than quadruples the valuation it carried after its last round in 2024. Ema declined to disclose the new valuation.

The company was founded in 2023 by Surojit Chatterjee, a former Google and Coinbase executive, and Souvik Sen, a former Okta executive. Both are based in the Bay Area. Ema sells what it calls AI employees, systems that coordinate multiple AI agents to carry out multi-step business processes across a company's existing applications rather than handling single tasks. The platform is designed for HR, IT and finance workflows, and it lets enterprises begin in one function and expand across others on the same architecture.

Ema's rise comes as AI agents push deeper into work traditionally done by enterprise software and IT services. The company says its customers are not running experiments. They are running HR, IT and finance operations on AI Employees at a scale of millions of interactions a year. The startup's customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro and Microsoft. That customer list leans heavily on IT services and consulting firms, the same category that Ema is angling to disrupt.

The Series B was entirely primary equity, with no debt or secondary transactions. Moneycontrol first reported in July that Ema was in talks to raise around $80 million from Creaegis and existing investors at a valuation of around $800 million. The final round came in slightly lower in size, at $77 million, and Ema has not confirmed the new valuation. The funding talks followed shortly after Creaegis led a $130 million round in AI startup Emergent.

Key Facts

TechCrunch reported on September 23, 2026 that Ema raised $77 million in a Series B led by Creaegis, with Accel, Section 32 and Prosus increasing their stakes. The round brings total funding to $140 million and more than quadruples the company's 2024 valuation. Ema declined to disclose the new mark. The round was entirely primary equity, with no debt or secondary component.

GlobeNewswire reported on September 23, 2026 that every major existing investor participated with a larger investment. The company said that reflects conviction built on direct visibility into customer usage, renewals and expansion. Ema will use the funding to scale its go to market organization, with multiple senior leaders already hired, and to continue investing in the platform. CEO and co-founder Surojit Chatterjee said enterprises do not need more software, they need work to get done.

AI Chat Daily reported on September 23, 2026 that Ema has more than 50 active enterprise deals, over 1 million active enterprise users and more than 5 million actions and queries processed. Revenue grew 50-fold over the past two years, and revenue bookings, which represent the total value of multiyear contracts, surpassed $150 million. Net dollar retention is around 180 percent, gross margins are close to 80 percent, and Ema draws on more than 150 models. Pricing is tied to task completion and business outcomes rather than seats or tokens.

Moneycontrol reported on September 23, 2026 that the round takes Ema's total funding to $140 million and more than quadruples its valuation from the previous round. The Indian business outlet noted that the company was founded in 2023 by former Coinbase chief product officer Surojit Chatterjee and Souvik Sen. Ema builds AI Employees for enterprise functions including HR, IT and finance. Its platform allows companies to deploy AI agents that can plan and execute workflows across the applications and systems they already use.

Ema is headquartered in Mountain View and has offices in Bengaluru, London and Vancouver. The startup has nearly 200 employees and puts most of the new capital into sales and marketing. More than 90 percent of customers expanded beyond their initial use case. Customers typically double in value as they expand from an initial deployment into two or three additional use cases, according to the company.

Analysis

What this really means is that Ema is trying to turn the AI agent story from a demo into an operating layer for the enterprise. The company does not sell a single assistant or a narrow automation tool. It sells orchestrated teams of agents that execute multi-step workflows across HR, IT and finance systems. That positioning puts it in direct competition with large SaaS applications and the IT services firms that implement them. Chatterjee said many customers are already on the way to replace large SaaS applications completely, removing dependency on them, because those applications are mostly becoming like a database.

The numbers behind the round are early category numbers, and they cut both ways. A 50-fold revenue increase over two years, bookings above $150 million, net dollar retention around 180 percent and gross margins near 80 percent would be exceptional for a mature software company. For a startup founded in 2023, they show rapid adoption but also a small base. AI Chat Daily noted a durability caveat: 180 percent net dollar retention and 50-fold growth are early category numbers that could compress. The question is whether Ema's task completion pricing model holds up as agentic AI becomes more commoditized and as frontier model providers move closer to the application layer.

Chatterjee does not frame frontier AI labs as competitors. He said progress in frontier models is actually very beneficial to Ema. That is a bet that the value sits in orchestration, governance and integration with existing enterprise systems, not in the underlying model. Ema wraps around an enterprise's existing applications before customers reduce or replace dependence on them. That sequencing matters. It lets Ema land inside complex environments without asking for a rip and replace on day one, then expand as trust and usage grow.

Prakash Parthasarathy, Managing Partner and Chief Investment Officer at Creaegis, said Ema has been building the default execution backbone for autonomous enterprise work and has emerged as one of the fastest, enterprise ready AI companies in this space. He added that Ema's validated offerings extend from employee facing functions into customer operations, sales and industry specific workflows on the same architecture, with embedded agentic capability that delivers measurable outcomes with the governance large enterprises require. The bigger picture here is that enterprise AI buying is shifting from experimentation budgets to operational budgets, and that shift favors vendors that can show governance, integration and measurable outcomes.

Why It Matters

The funding matters because it tests whether AI agents can take real work away from established software and services. Ema's customer list includes NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro and Microsoft. Several of those are IT services and consulting firms, which are both customers and potential competitors. Chatterjee says services firms are adjusting their own models rather than resisting. If Ema succeeds, it could compress demand for seat based software and for the large implementation projects that services firms have historically charged for.

It also matters for the venture market. Creaegis, a Bengaluru based firm, led the round, and Accel, Section 32 and Prosus all increased their stakes. That is a strong signal from existing investors who can see customer usage, renewals and expansion directly. The round was entirely primary equity, meaning the money goes to the company rather than to early shareholders. Ema plans to expand from its US and Europe base into Asia Pacific, South America and the Middle East, which suggests the company sees enterprise demand for AI Employees well beyond its current footprint.

For enterprises, the practical question is whether an AI employee platform can deliver measurable outcomes without creating new governance and compliance risks. Ema says its pricing is tied to task completion and business outcomes, not seats or tokens. That model aligns vendor incentives with work actually done, but it also requires clear definitions of completion and outcome. If Ema can prove that model at scale, it will strengthen the case for agentic AI as a replacement layer rather than a bolt on tool.

Next Up

Ema will put most of the new capital into sales and marketing and continue investing in its platform. The company has already hired multiple senior leaders for its go to market organization. It plans to expand from its US and Europe base into Asia Pacific, South America and the Middle East. With nearly 200 employees and offices in Mountain View, Bengaluru, London and Vancouver, Ema is building the operational capacity to chase larger enterprise deals.

The next proof point will be whether Ema can keep its net dollar retention near 180 percent as it scales, and whether more customers move from pilot to full production across HR, IT and finance. Ema says organizations can begin in one function and expand across all three on the same platform. If that expansion engine keeps working, the company's $140 million in total funding and its more than quadrupled valuation will look like a starting point rather than a peak.