Catching up in the AI race? India gets its second AI unicorn in a month

Vibe coding startup Emergent on Wednesday became the second Indian AI company to be valued at more than a billion dollars in a month, signaling that the South Asian country has finally entered the AI ​​race

Emergent, which was launched a year ago, Raised $300 million in Series C The company said on Wednesday that the financing round valued the business at $1.5 billion.

Bengaluru-based investment firm Creaegis led the round and was also joined by Indian family office firm Claypond and Californian fund Sentinel Global. Existing investors Khosla Ventures, SoftBank Vision Fund 2, Lightspeed and Y Combinator also participated.

“We built Emergent for non-technical entrepreneurs and small business owners; 70% of our users had no prior coding experience,” said Mukund Jha, co-founder and CEO of Emergent. Emergent said nearly 12 million apps were created by “small business owners and individual entrepreneurs” on Emergent last year.

Exactly one month ago, Sarvam, India’s full-service independent AI company Raised $234 billion in funds It achieved a post-money valuation of $1.5 billion from a group of investors.

These developments are “consistent with the broader momentum we are tracking,” Deepika Giri, head of AI, analytics and data research at IDC Asia Pacific, told CNBC, adding that “almost half of Indian businesses are already testing agency AI solutions.”

He said it was “unusually rapid trial and workforce automation for a market of this size.”

Market research firm IDC expects 45% of Indian organizations to gain computing access using private cloud services by 2026; This will alleviate a major bottleneck for training and inference.

India also has the largest AI accelerator stack in APAC, it said. NVIDIA, AMDand hyperscaler silicon — providing flexibility not available in most markets. A stack of accelerators any piece of hardware This can be used to train AI workloads, while hyperscaler silicon refers to customized chips.

Experts said these factors, combined with a large pool of engineering and AI talent, could help India shed its reputation as an AI laggard, but cautioned that it was still early days. inside that journey.

Sarvam’s financing reflects confidence that India can build “valuable intellectual property in indigenous and multilingual AI,” Mohammad Hassan, head of APAC dividend forecasting at S&P Global Market Intelligence, told CNBC.

Emergent’s fundraising highlights the strength of India’s tech talent, which could be “India’s trump card in the long-term AI race,” he added, calling the developments “positive signals” but not evidence of a major shift.

India is lagging behind in the global AI race because it is yet to produce cutting-edge chips domestically and does not have a frontier-scale baseline model on par with the leading US or Chinese models. Data center capacity lagging behind AI leaders.

However, the South Asian country, which is hosting a major global artificial intelligence conference this year, is confident that it will leave its mark in the field of artificial intelligence by developing applications on foreign basic models.

At the global artificial intelligence summit in February, Indian Prime Minister Modi said his vision was for India to be “among the best.” The world’s three biggest artificial intelligence superpowers“Not just in terms of being a consumer, but also in terms of being a creator.

India, a major exporter of IT services, has the software talent to create AI applications for the world, but securing unrestricted access to underlying models remains a significant risk to its goals as countries place increasing strategic importance on this technology.

It will take “at least three to four years” for India’s AI ecosystem to grow to a point where it will create a “flywheel effect,” Neil Shah, vice president of research at Counterpoint Research, told CNBC’s “Inside India” on Thursday.