Ema, an enterprise AI startup, has raised $77 million in Series B funding. Creaegis led the round, while existing investors Accel, S32 and Prosus also put more money into the company.
The new round takes Ema’s total funding to $140 million. The company said its valuation has more than quadrupled from its previous funding round in 2024, but it has not shared the new valuation figure.
Ema was founded in 2023 by Surojit Chatterjee and Souvik Sen. Chatterjee is a former Coinbase chief product officer, while Sen is a former Okta executive. The company is based in Mountain View, California, and also has a major presence in Bengaluru.
The startup has a clear goal. It wants companies to use AI not only for simple questions or basic tasks, but for complete business work.
What Ema actually does
Ema calls its products AI Employees. These are groups of AI agents that can handle work across different company systems.
The platform focuses on three main areas: human resources, IT and finance.
A normal AI tool may answer a question or create a short document. Ema wants its AI Employees to go further. They can plan a task, use several business systems, check the result and complete the work.
For example, an employee may need help with an HR request. The AI can understand the request, check the required company systems, take the needed steps and send the case to a human when a decision needs human control.
The same basic idea can work in IT. An employee may have a computer or software issue. Ema’s AI can work across company tools to handle the request instead of simply giving the employee a written answer.
This difference is central to Ema’s business model. The company does not want AI to act as another layer of software. It wants AI to complete real work.
Why the funding matters
The $77 million round comes at a time when many large companies are testing AI in daily business work.
For several years, companies bought software for separate tasks. They had one tool for HR, another for finance, another for IT and many more for other parts of the business.
Ema believes AI can change this model.
Instead of asking a company to add another software product for each task, its platform can work with systems that the company already uses.
This approach can make the technology easier to adopt. A company does not need to replace every existing system before it can use Ema.
The startup says its platform can connect with more than 250 business applications and systems of record. That allows its AI Employees to work across a company’s existing technology setup.
Creaegis leads the new round
Creaegis, a Bengaluru-based investment firm, led the Series B round.
Accel, S32 and Prosus also increased their investments. Ema said all of its major existing investors took part in the new round with larger investments.
That matters because these investors already had a view of Ema’s product and customer use before the latest deal.
The new capital will help Ema expand its go-to-market organisation. The company has already hired several senior leaders for this work.
Ema also plans to put more money into its enterprise AI platform. The goal is to reach more companies and expand the number of tasks its AI Employees can handle.
Ema wants AI to do real work
The company sees a gap in the current enterprise AI market.
Many businesses have tested AI through small pilot projects. A company may use an AI tool for a short trial, study the results and then decide whether it should move ahead.
Ema wants to move beyond that stage.
Its argument is simple. Companies do not need more tools that only show what AI can do. They need systems that can handle useful work at scale.
This is why Ema focuses on tasks across HR, IT and finance. These departments deal with large numbers of requests every day. Many of those requests follow set processes and require access to several company systems.
That makes them a possible fit for AI agents.
Ema’s platform can start with one business function. A company can then expand its use into other areas through the same platform.
This model could also help Ema grow inside existing customers. Once a company uses the platform for one task, Ema can offer more use cases in other departments.
Strong customer use
Ema says its platform already has use at several large companies.
Its customers include Wipro, Hitachi, ADP and PwC. The company also works with other large enterprises.
At Wipro, Ema says its platform is used by more than 240,000 employees across 65 countries. It handles about 2.9 million employee queries each year, according to Ema.
At NTT Data, the company says its AI Employees handle more than 1 million IT service management tickets and more than 1 million calls across more than 15 languages.
Ema reports about 95% accuracy for this work, with less than 10% of interactions sent to a human. These figures come from Ema’s own reports and have not been independently audited.
At Hitachi, Ema says the platform moved from concept to production in four weeks. It connected with more than 20 systems and served more than 40,000 employees.
These examples help explain why investors gave the company a much larger round.
Revenue has grown fast
Ema says its revenue has grown 50 times over the past 24 months.
The company also says customers often increase their use after the first deployment. According to Ema, customers typically double their value as they expand from one initial use case into two or three more.
This type of expansion can be important for a software company.
A startup may spend a lot of money to win its first large customer. If that customer later uses the same platform across more departments, the company can gain more revenue without the same level of effort needed for the first sale.
Ema is trying to build its business around this model.
The company has more than 50 enterprise deals, according to figures reported by Ema. It also says its bookings have passed $150 million across multiyear contracts. This figure refers to total contract value and should not be treated as annual revenue.
The company has a global plan
Ema’s next phase will not focus only on the US.
The company plans to expand its commercial reach into more regions, including APAC and EMEA. Its Bengaluru base can also support its work with customers across Asia.
The new funding gives Ema more room to build its sales operation and enter new markets.
This expansion also fits the nature of enterprise software. Large companies operate across many countries, so an AI platform that works in only one market has a smaller potential customer base.
Ema already has experience with multiple languages through its IT work. Its NTT Data deployment covers more than 15 languages, according to the company.
Human control still has a role
Ema’s goal is not to remove humans from every business decision.
Its platform can complete many routine processes, but important decisions may still require human approval.
This is especially important in areas such as HR and finance. A system can collect information, check rules and prepare an action, but a person may need to make the final choice.
Ema’s platform can also route approvals where required.
This approach gives businesses a way to use AI while keeping people involved in sensitive cases.
For large companies, this type of control can be just as important as the speed of the AI itself.
Ema faces a crowded AI market
The company is entering a market with many competitors.
Large technology firms already offer AI tools for businesses. Many smaller startups are also building AI agents for specific jobs.
The difference Ema wants to show is its ability to handle complete workflows across several systems.
That is a harder task than answering a question.
A business process may require information from different databases, several software tools and approval from a manager. The AI must also know what to do when something goes wrong.
Ema says its platform is built for this type of work.
Creaegis partner and chief investment officer Prakash Parthasarathy said Ema stood out because its platform already has enterprise-scale use. He also said many AI agent companies have strong demos but fewer have shown similar production use.
A shift from software to completed work
The larger idea behind Ema is a change in how companies may buy technology.
For many years, businesses bought software and then hired people to use it.
AI agents may change that model. A company could pay for a system that does part of the work itself.
This does not mean traditional software will disappear. Companies will still need databases, security tools, financial systems and other core technology.
But the way employees use those systems may change.
Instead of a person opening five different tools to complete one task, an AI agent could move across those tools and finish the process.
That is the market Ema wants to build.
What the $140 million total means
With the latest round, Ema has now raised $140 million in total.
That gives the startup substantial capital for product development, sales, new markets and customer support.
The more than fourfold rise in valuation from the 2024 round also shows the change in investor expectations around the company, although Ema has not disclosed the current valuation.
Still, a large funding round does not by itself prove that a startup will succeed.
Ema now has to show that its AI Employees can work reliably at more companies and across more types of business tasks.
The next stage will be about execution.
What comes next for Ema
Ema plans to use the new $77 million to expand its go-to-market operation and continue work on its enterprise AI platform.
Its focus will remain on HR, IT and finance, while the company looks for more ways to use the same technology across large organisations.
Its existing customer base gives it a place to test this model at scale. Its work with Wipro, NTT Data and Hitachi shows that the platform already has use in large enterprise environments.
The bigger challenge is to make this model work for many more companies and regions.
If Ema can do that, its AI Employees could become a new way for businesses to handle routine work across several departments.
For now, the $77 million Series B gives the company more capital, more investor support and more time to prove its idea. The startup has raised $140 million in total, has customers across major enterprises and has set its sights on a wider global market.
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