Ema, a startup that builds teams of artificial intelligence agents to run corporate tasks, has raised 77 million dollars in a Series B round. The financing was led by Creaegis, with existing backers Accel, Section 32 and Prosus also taking part. The deal takes the company’s total funding to 140 million dollars. Ema sells software that carries out work rather than simply assisting the staff who do it, a pitch that has drawn interest as businesses test how far automation can reach inside large organisations.
The company deploys what it calls agent teams across human resources, information technology and finance, operating inside the applications that employees already use. The approach is aimed at functions that traditionally required a mix of packaged software and outside service providers. Ema’s founder, Surojit Chatterjee, has framed the product as a way to fold several tasks into a single system that can act on instructions, check its own output and hand results back to a person when a real decision is needed.
Ema said it now works with more than 50 enterprise customers, a list that includes Google, Microsoft, ADP and PwC, and counts over one million active users. Revenue has grown roughly fiftyfold over two years, according to the company, with bookings above 150 million dollars. It also cited a net dollar retention rate near 180 percent, a figure that measures how much existing customers increase their spending over time rather than how many new ones sign up.
Chatterjee said rapid improvement in the underlying models works in the company’s favour rather than against it. “Progress in frontier models is actually very beneficial to us,” he said, adding that Ema draws on more than 150 different models and concentrates on connecting them to specific business processes. That positioning is meant to keep the startup useful whichever laboratory produces the strongest system at any given moment, instead of tying its fortunes to a single provider.
The round lands as investors pour money into companies that promise to automate white collar work, a trend that has reshaped enterprise software spending through 2026. Ema’s backers are betting that agents which complete tasks from start to finish can take a share of budgets once split between licensed tools and human consultants. The company has not said when it expects to reach profitability or whether it plans to raise more money in the near term.
