Ema Raises $77M to Expand AI Agents for Corporate HR, IT and Finance
The startup says its agents can complete work across existing business software. Its CEO sees a path to replacing some of that software, but has not disclosed current annual revenue.
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3 key pointsEma will use a $77 million Series B to build sales and marketing and continue platform development as it expands beyond the U.S. and Europe into Asia-Pacific, South America and parts of the Middle East over the next year. The round, led by Creaegis with existing backers participating, takes total funding to $140 million; the new valuation remains undisclosed. The near-term bet is scaling agents across customers’...
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Ema says its platform connects to more than 250 business applications and systems and can draw on more than 150 AI models.
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The company reports over 1 million active enterprise users, 50-plus active deals and 5 million-plus actions and queries; none is current annual revenue.
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Ema says revenue grew 50-fold in 24 months and net dollar retention is around 180%; these company-reported figures lack a disclosed annualized revenue run rate.
Ema has raised a $77 million Series B to take its AI agents into more corporate workflows and markets. The agents work across applications companies already use for HR, IT and finance. Ema’s larger ambition is more disruptive: CEO Surojit Chatterjee says customers may eventually need fewer of those applications.
The financing and the expansion plan
Creaegis led the round, while existing investors Accel, S32 and Prosus increased their investments. Ema says the financing brings its total funding to $140 million and more than quadruples its valuation from the previous round. It has not disclosed the new valuation. The company confirmed to TechCrunch that the entire round was primary equity, with no debt or sales of existing shares.
Ema plans to put the money into sales and marketing as well as continued platform development. It has focused chiefly on the U.S. and Europe; over the next year, it plans to enter markets in Asia-Pacific, South America and parts of the Middle East. That gives the funding a clear near-term job: building a larger sales operation around a product Ema says is already in use.
Working through the software already there
Ema calls its systems “AI Employees.” Rather than answer one question and stop, they are designed to carry out multistep processes across a company’s existing applications. Ema says they can check their work, seek approvals when required and leave critical decisions under human oversight. The company says its platform connects to more than 250 business applications and systems of record—the databases that hold an organization’s operational information.
Chatterjee told TechCrunch that Ema can draw on more than 150 AI models. His argument is that Ema’s value lies in knowing a company’s processes, connecting its applications and coordinating the steps, rather than building the underlying models. He also said customers pay for completed tasks and business outcomes, not software seats or the amount of AI processing they consume. That pricing approach puts attention on whether the work gets finished.
Growth figures with different meanings
Ema says it has more than 50 active enterprise deals and has processed more than 5 million actions and queries. Those figures suggest usage beyond small trials, but they describe different things: a user count, a deal count and a cumulative volume of work. None is a measure of current annual revenue. Chatterjee declined to give TechCrunch the company’s annualized revenue run rate.
The company offers examples of work at much larger scale. It says an employee assistant at a major global IT services firm supports more than 240,000 associates in 65 countries and handles about 2.9 million queries a year. Ema credits that deployment with avoiding approximately 60% of tickets. Those are company-reported results from a customer deployment, not an independent measure of how every new customer would fare.
Chatterjee said more than 90% of customers have expanded beyond their first use case. He put net dollar retention—a measure of spending by existing customers after increases and decreases—at around 180%. That helps explain the fundraising pitch: Ema wants a foothold in one department to lead to more work across the organization. The figures come from the company, however, and do not disclose how much revenue it earns today.
The replacement claim remains a longer-term bet
Chatterjee’s view goes beyond automating tasks inside existing software. He told TechCrunch that Ema initially works around a customer’s applications, after which customers could reduce their dependence on some products or replace them. That is a proposed path, not a demonstrated outcome across Ema’s customer base. For now, the integrations remain central to its pitch: agents need access to company systems before they can act across them.
The next test is whether Ema’s planned sales push can reproduce its reported customer expansion in new markets. Its financing gives it capital to try. Its disclosed bookings and growth show why investors backed the effort, but leave buyers and observers without a current annual revenue figure for judging the size of the business behind those claims.
Sources
- globenewswire.comEma Raises $77M Series B to Put AI Employees to Work Across the Enterprise
- techcrunch.comEma raises $77M as AI starts eating into enterprise software and services | TechCrunch
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