September 24, 2026: Ema has raised $77 million in Series B funding as the enterprise AI startup looks to expand its AI employee platform into more business functions and deepen its presence among large organisations.
Founded by former Google and Coinbase executive Surojit Chatterjee and former Okta executive Souvik Sen, Ema is building AI systems designed to do more than assist employees. Its platform coordinates multiple AI agents to execute business processes across applications used by companies.
That approach puts Ema in a growing category of startups trying to move enterprise AI from simple productivity tools toward systems that can actually carry out work.
The company initially focused on areas such as human resources, IT and finance, where employees routinely move between multiple software systems to complete a single process. Ema’s technology is designed to connect those systems and allow AI agents to manage workflows that can involve several steps, applications and decisions.
The startup says its platform is already being used by more than 1 million enterprise users and has processed over 5 million actions and queries. Its customer base includes large companies across technology, professional services, financial and industrial sectors.
Ema’s New Funding Pushes AI Employees Into More Enterprise Functions
Ema has also seen significant expansion within existing accounts. The company says more than 90% of its customers have moved beyond their initial use case, with some deploying its platform across multiple workflows.
That expansion is central to the startup’s larger ambition. Instead of selling AI as another standalone application, the startup wants its technology to become a layer that sits across an organisation’s existing software and gradually takes over parts of the work performed through those systems.
The strategy could eventually put AI agent companies in competition with two major enterprise spending categories: software and services.
For decades, companies have purchased software to help employees complete business processes and then spent additional money on consultants and IT service providers to implement, integrate and manage those systems. Ema believes increasingly capable AI agents could automate portions of both sides of that equation.
The company’s pricing model reflects this shift. Rather than relying primarily on conventional software-seat pricing or charging according to AI usage, Ema says it bases its commercial model around completed tasks and business outcomes.
The startup also sees improvements in underlying AI models as an opportunity rather than simply a competitive threat. Ema can use different AI models within its platform while concentrating on the enterprise-specific integrations, workflow management and operational knowledge required to complete business processes.
That distinction could become increasingly important as major AI companies push further into enterprise applications. The market is rapidly moving beyond chatbots and copilots, with businesses experimenting with AI systems capable of taking actions across internal tools and software.
Ema says its business has expanded sharply over the past two years, with revenue growing 50-fold and bookings crossing $150 million. The bookings figure includes the value of multiyear contracts and therefore should not be treated as equivalent to annual recurring revenue.
The company has also grown to nearly 200 employees and operates across offices in Mountain View, Bengaluru, London and Vancouver.
With the new capital, Ema plans to put greater emphasis on go-to-market expansion after spending its earlier years building and refining the product. Sales and marketing will be key areas of investment as the company seeks to bring its platform to more large enterprises.
Geographically, Ema has largely concentrated on the US and Europe so far. Its next phase includes expansion across Asia-Pacific, South America and selected markets in the Middle East.
The bigger opportunity for Ema is not simply getting companies to adopt another AI product. It is convincing enterprises to let AI take responsibility for parts of their existing operations.
If that model scales, the role of enterprise AI could shift from helping people work faster to performing portions of the work itself. Ema’s latest funding gives the startup more capital to test that proposition across a much broader set of customers and business functions.
The funding round was led by Creaegis and included participation from existing backers Accel, S32, Prosus Ventures, Hitachi Ventures and Wipro Ventures. The latest investment takes Ema’s total funding to $140 million since its launch in 2023.
