{"id":625028,"date":"2026-09-23T14:58:14","date_gmt":"2026-09-23T14:58:14","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/625028\/"},"modified":"2026-09-23T14:58:14","modified_gmt":"2026-09-23T14:58:14","slug":"ema-raises-77m-as-ai-starts-eating-into-enterprise-software-and-services","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/625028\/","title":{"rendered":"Ema raises $77M as AI starts eating into enterprise software and services"},"content":{"rendered":"

Ema<\/a>, a startup that uses teams of AI agents to automate corporate processes across HR, IT, and finance, has raised $77 million in a new funding round as it aims to take on more of the work traditionally handled by enterprise software and IT services.<\/p>\n

The Series B round was led by Bengaluru-based venture firm Creaegis, with existing investors Accel, Section 32, and Prosus increasing their stakes. The financing brings the startup\u2019s total funding to $140 million and more than quadruples its valuation from its last funding round in 2024. (Ema declined to disclose its latest valuation.) The round consisted entirely of primary equity, with no debt or secondary transactions, the startup confirmed to TechCrunch.<\/p>\n

The funding comes as AI is beginning to compete for dollars that businesses have traditionally spent on enterprise software and IT services. Startups, major AI labs, and established software companies are now fighting to capture that spending.<\/p>\n

Founded in 2023<\/a> by former Google and Coinbase executive Surojit Chatterjee and ex-Okta executive Souvik Sen, Ema is looking to expand its position in that market. The startup deploys its technology, which it calls \u201cAI employees\u201d \u2014 systems that coordinate multiple AI agents. These help carry out multi-step business processes across a company\u2019s existing applications, rather than handling a single task at a time.<\/p>\n

Chatterjee sees that model eventually reducing companies\u2019 reliance on traditional software products, including those sold as software-as-a-service (SaaS). Ema first \u201cwraps\u201d around an enterprise\u2019s existing applications, he said, before customers can reduce their dependence on some of those products \u2014 and, in some cases, replace them altogether.<\/p>\n

\u201cMany of our customers are already on the way to replace [large SaaS applications] completely, removing dependency on them, because they are mostly becoming like a database,\u201d Chatterjee said.<\/p>\n

Benefiting from AI labs\u2019 push<\/p>\n

In recent months, major AI companies have also pushed deeper into the enterprise market where Ema operates. Anthropic<\/a> has expanded efforts to bring Claude into companies\u2019 core operations, including financial<\/a> and legal<\/a> work. Similarly, OpenAI<\/a> has established teams of forward-deployed engineers<\/a> who work alongside customers to put AI into production.<\/p>\n

Chatterjee, however, does not see the frontier AI labs as direct competitors. He told TechCrunch that Ema\u2019s software can draw on more than 150 models, including frontier and open source models, while the startup focuses on the domain knowledge, integrations, and orchestration needed to automate business processes end-to-end.<\/p>\n

\u201cProgress in frontier models is actually very beneficial to us,\u201d Chatterjee stated.<\/p>\n

Ema\u2019s approach is already gaining traction. The startup has more than 50 active enterprise deals, as well as over 1 million active enterprise users, and has handled more than 5 million actions and queries. Its customers include NTT DATA, Hitachi, ADP, PwC, Google, KPMG, Wipro, and Microsoft.<\/p>\n

Over the past two years, Ema said its revenue has grown 50-fold, while revenue bookings have surpassed $150 million. Chatterjee said the bookings figure includes the total value of multiyear contracts, including two- and three-year deals, rather than representing annual recurring revenue. He, however, declined to disclose the startup\u2019s current annualized revenue run rate.<\/p>\n

Chatterjee told TechCrunch that more than 90% of Ema\u2019s customers have expanded beyond their initial use case, with some deploying the technology across dozens of workflows. The startup\u2019s net dollar retention rate is around 180%, he said, meaning existing customers are spending substantially more with Ema over time.<\/p>\n

Ema is also looking beyond the software itself. AI, Chatterjee said, can take over some of the implementation, integration, and consulting work that companies have traditionally paid IT services firms to perform around enterprise software.<\/p>\n

\u201cA lot of the services companies are working with us,\u201d Chatterjee said. \u201cThey are also dramatically changing or disrupting their own business models because they understand the human-forward model may not be the best model going forward.\u201d<\/p>\n

Despite taking on work traditionally handled by software and services providers, Chatterjee said Ema has maintained gross margins of close to 80%. The startup, he noted, requires less human support as its AI systems learn from deployments, helping improve margins over time.<\/p>\n

Ema also does not charge customers based on software seats or the number of AI tokens they consume. Instead, Chatterjee said, its pricing is tied to the completion of tasks and business outcomes.<\/p>\n

Much of Ema\u2019s new capital will go toward expanding its go-to-market operations, particularly sales and marketing, after spending its first years largely building the product, Chatterjee said. The Mountain View-headquartered startup has grown to nearly 200 employees and has its offices in Bengaluru, London, and Vancouver.<\/p>\n

Ema has so far focused primarily on customers in the U.S. and Europe. However, it now plans to expand into new markets over the next year, particularly across Asia-Pacific, South America, and parts of the Middle East.<\/p>\n

When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/p>\n","protected":false},"excerpt":{"rendered":"Ema, a startup that uses teams of AI agents to automate corporate processes across HR, IT, and finance,…\n","protected":false},"author":2,"featured_media":625029,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[153809,3149,345,8904,343,344,282604,85,46,129136,282605,125],"class_list":["post-625028","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ema","tag-accel","tag-ai","tag-ai-agents","tag-artificial-intelligence","tag-artificialintelligence","tag-creaegis","tag-il","tag-israel","tag-prosus","tag-section-32","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/625028","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=625028"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/625028\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/625029"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=625028"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=625028"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=625028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}