Enterprise generative artificial intelligence startup Ema is reportedly in advanced discussions to raise around $80 million in a new funding round led by Creaegis, with participation from its existing investors. The proposed investment comes as investor interest increasingly shifts toward AI application startups, reflecting growing confidence in enterprise-focused artificial intelligence solutions.
The funding round is expected to value Ema at approximately $800 million, representing a two-to-three-fold increase from its previous fundraising rounds in 2024, according to people familiar with the matter. The startup had raised $25 million in March 2024 before extending the round in July 2024 to secure an additional $36 million.
Ema and Creaegis did not respond to queries regarding the reported fundraising discussions.
If completed, the transaction would rank among the largest AI funding deals involving an India-linked startup, following Sarvam’s $300 million fundraising and Emergent’s $130 million round. The investment would also mark Creaegis’ second major AI bet within a week after the investment firm led Emergent’s $130 million financing at a valuation that increased fivefold.
The discussions highlight the accelerating momentum in India’s AI startup ecosystem, where investors are increasingly backing companies building practical AI applications for enterprises. Earlier this month, Moneycontrol reported that at least half a dozen early-stage AI startups were negotiating fresh funding rounds with investors including Flipkart co-founder Binny Bansal, Eternal Group CEO Albinder Dhindsa, family offices such as Claypond Capital, and several venture capital firms amid rising enthusiasm for artificial intelligence ventures.
Founded in San Francisco in 2023, Ema is led by founder and chief executive Surojit Chatterjee, who previously served as chief product officer at Coinbase and held leadership positions at Google and Walmart-owned Flipkart. The company’s co-founder and chief technology officer, Souvik Sen, previously worked at Okta and Google.
Together, Chatterjee and Sen bring decades of expertise across machine learning, enterprise software and advertising technology, while holding more than 40 and 37 patents, respectively.
Ema develops generative AI assistants designed to help enterprises improve operational efficiency and productivity across multiple business functions. The platform enables organisations to build and deploy AI assistants for a range of enterprise use cases.
Describing the platform’s capabilities earlier, Chatterjee said, “Enterprises can build on and deploy Ema for use cases around improving efficiency and boosting productivity across organisational functions. It comes with ‘standard personas’ of customer support and data professionals apart from more complex roles with its Generative Workflow Engine.”
The startup also boasts a distinguished investor base that includes venture capital firms such as Prosus, Accel, S32, Wipro, Frontier Ventures and Firebolt. Beyond institutional investors, Ema has attracted several prominent Silicon Valley entrepreneurs as angel investors, including former Meta chief operating officer Sheryl Sandberg, Facebook co-founder and Asana chief executive Dustin Moskovitz, Yahoo co-founder and AME Cloud Ventures founder Jerry Yang, ICONIQ Capital founder and chief executive Divesh Makan, and Roblox co-founder and chief executive David Baszucki.
The reported fundraising underscores the growing appetite among investors for enterprise AI startups capable of delivering practical business applications. As enterprises continue adopting AI-powered automation and productivity tools, companies developing scalable enterprise AI platforms are attracting larger investments and higher valuations.
Ema’s proposed funding round, if completed, is expected to strengthen its product development efforts and expand its enterprise AI platform, enabling the company to accelerate adoption of its generative AI assistants across global businesses while capitalising on the rapid growth of the enterprise AI market.
