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News18
a day ago
- Business
- News18
India's GenAI Startups Boom: 3.7X Growth, $990M Funding In H1 CY2025: Report
India's Generative AI startup landscape has grown 3.7x to 890+ startups in the last 12 months, with GenAI Application startups reaching 740+. News18 India Generative AI startup landscape has witnessed an exponential rise with the cumulative number of startups growing 3.7x to 890+ in the last 12 months, according to NASSCOM report titled India ' Generative AI Startup Landscape 2025′. Moreover, GenAI Application startups grew 4x to reach 740+ (83% share) during the same period as compared to Services and Model/Infra segments, it added. Indian GenAI startups' cumulative funding grows by 30% YoY to reach $ 990 Million in H1 CY2025 as compared, significantly lower than global peers indicating constrained funding scenario in India, the NASSCOM report added. Early-stage funding remains the ecosystem's life force as late-stage capital vanishes. This shift indicates a strategic recalibration by VCs, who are now prioritizing demonstrable progress and near-term viability. The report said that the government's multifaceted approach marked by infra push (launch of IndiaAI Datasets Platform), compute access (launch of IndiaAI Compute Portal), and public innovation (DPI-backed collaborations) is helping early-stage GenAI startups in lowering go-to-market friction and accelerating B2G and B2B adoption. Indian GenAI startups face a critical resource crunch, with high compute costs and a shortage of production-ready AI talent emerging as the biggest growth barriers. While global peers enjoy deeper late-stage funding, Indian ventures often struggle to secure the patient capital needed for deep-tech R&D. This has led to an over-reliance on application-layer products built on foreign-owned models, leaving the ecosystem vulnerable to shifts in pricing and access policies. Infrastructure gaps, especially in large-scale model training and orchestration, also slow the transition from pilot projects to enterprise-grade deployments. Despite these hurdles, India holds a unique competitive edge in building domain-specific, cost-efficient AI tailored for its mobile-first, multilingual population. There is a vast untapped market for lightweight Indic-language LLMs, voice-first assistants, and AI solutions embedded into the nation's Digital Public Infrastructure like UPI and ONDC. Strategic government initiatives, including the Rs 10,372 crore IndiaAI Mission and subsidized GPU access, are creating fertile ground for startups to innovate in regulated sectors such as BFSI, healthcare, and education. By focusing on localized, high-impact applications and vertical AI specializations, Indian startups can scale rapidly and export these solutions to other emerging markets. view comments First Published: Disclaimer: Comments reflect users' views, not News18's. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. News18 may disable any comment at its discretion. By posting, you agree to our Terms of Use and Privacy Policy.
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Business Standard
29-05-2025
- Business
- Business Standard
India must build AI models in local languages, social norms: Vaishnaw
India needs to develop artificial intelligence (AI) models that are rooted in domestic languages, culture, conditions, nuances, and social norms, Union Minister for Electronics and Information Technology Ashwini Vaishnaw said. 'We have taken up development of models. One of the first is being developed by Sarvam. There are three or four applications which are in the advanced stages of approvals. We are also taking up common datasets as a part of this entire process,' Vaishnaw said at the CII Annual Summit 2025. Akin to the advancements made in the semiconductor and electronics industry, AI will bring 'humongous changes' to society and industry, he said. 'I think that kind of change is coming. We should stay prepared for that change. Whichever industry or sector we are in, we must be prepared,' the Union minister said. In order to ensure access to high-end compute for all, the government has targeted enabling access to 10,000 graphics processing units (GPUs) under the IndiaAI Mission. Against this target, it received bids for more than 18,000 GPUs in the first round of bidding, he said, adding that companies have placed bids to procure nearly 14,000 GPUs in the second round. The IndiaAI Mission was approved by the Union Cabinet in March 2024, with a capital outlay of ₹10,738 crore. The IndiaAI Compute Portal will provide access to these GPUs as well as AI cloud services for start-ups, application developers, researchers, and students. It will allow end users to access a wide range of high-end GPUs and facilitate AI research and innovation in the country. The first Made in India chips in the 28–90 nm range will be rolled out by the end of this year, the Union minister said. 'There are many people who criticised us for aiming at semiconductor manufacturing. We targeted a particular segment, which has 60 per cent of market volume, using a targeted approach. Today, we have six units under construction. The first Made in India chip of 28–90 nm will roll out this year. We started manufacturing in 2022,' Vaishnaw said.
Time of India
26-04-2025
- Business
- Time of India
IndiaAI GPU tender: Lowest bidders receive AI workloads
The Ministry of Electronics and Information Technology (MeitY) on Friday assigned artificial intelligence projects, or workloads, to three companies selected to supply GPUs under the IndiaAI Group's Yotta Data Services, E2E Networks and NxtGen Cloud Technologies will provide AI compute units to startups, academic institutions and organisations selected by the ministry for access to GPUs at a subsidised subsidised rate being offered under IndiaAI, less than $1 per hour, is the lowest in the world. The government has not named the beneficiaries of the are a coveted resource worldwide with countries like the US imposing export restrictions on advanced AI chips including GPUs, to protect its AI leadership and national security. The average discount from market prices for AI compute services is 42%. While E2E Networks and NxtGen were the lowest (L1) bidders in the categories where they offered to supply GPUs, Yotta was the second lowest. Under the terms for the GPUs, when a particular company wants a certain number of GPUs of a particular model, and if the L1 bidders are unable to supply it, the next lower bidder is approached. Only these three companies have integrated with the IndiaAI Compute Portal of the government, sources said. Yotta has offered to supply 9,216 GPUs, while E2E has offered 1,353 GPUs and NxtGen, 1,088 GPUs. The other three L1 bidders – Jio Platforms, Locuz Enterprise Solutions and CtrlS Datacenters — did not comment on when they will integrate with the portal. Workloads or AI projects can only be assigned once service providers have procured the GPUs themselves and have integrated with the project. The users too will have to register through the portal for applying for AI resources. The IndiaAI Mission, Yotta, E2E, and NxtGen did not respond to requests for comment. While IndiaAI had made the L1 bidders in each AI compute category public in January, in another memo sent last week, it named the ten empanelled bidders who are the next lowest bidders too (L2, L3, L4, and L5). Companies like Yotta, Tata Communications , CMS Computers, Orient Technologies , Vensysco Technologies have emerged as L2, L3, L4, and L5 bidders in various GPU categories. As per the memo, seen by ET, the companies will have to provide the GPU access latest by August, which is within six months of getting the letter of intent that was sent on February 7. The L1 bidder in each compute category would be the preferred service provider for that category. When awarding projects to the empanelled bidders, IndiaAI will direct all requests to the L1 bidder until its capacity is exhausted. 'Subsequently, requests will be assigned using a round robin method, progressing from next lowest bidder to L5, and so forth, until all empanelled agencies have exhausted their capacities,' the memo said. India had formally launched its Rs 10,000 crore IndiaAI Mission in January under which it plans to offer close to 15,000 GPUs. As part of the mission, the government is also incentivising the development of local language models built by academia and industry with investment capital and other support. The move is aimed at building up India's AI prowess. Under the IndiaAI Mission, the government got commitments for 18,693 GPUs, against its target of 10,000 GPUs. It is also planning to launch a second round to procure another 15,000 GPUs, ET reported on April 19.
Economic Times
26-04-2025
- Business
- Economic Times
IndiaAI GPU tender: Lowest bidders receive AI workloads
The Ministry of Electronics and Information Technology (MeitY) on Friday assigned artificial intelligence projects, or workloads, to three companies selected to supply GPUs under the IndiaAI Group's Yotta Data Services, E2E Networks and NxtGen Cloud Technologies will provide AI compute units to startups, academic institutions and organisations selected by the ministry for access to GPUs at a subsidised rate. The subsidised rate being offered under IndiaAI, less than $1 per hour, is the lowest in the world. The government has not named the beneficiaries of the are a coveted resource worldwide with countries like the US imposing export restrictions on advanced AI chips including GPUs, to protect its AI leadership and national security. The average discount from market prices for AI compute services is 42%. While E2E Networks and NxtGen were the lowest (L1) bidders in the categories where they offered to supply GPUs, Yotta was the second lowest. Under the terms for the GPUs, when a particular company wants a certain number of GPUs of a particular model, and if the L1 bidders are unable to supply it, the next lower bidder is approached. Only these three companies have integrated with the IndiaAI Compute Portal of the government, sources said. Yotta has offered to supply 9,216 GPUs, while E2E has offered 1,353 GPUs and NxtGen, 1,088 other three L1 bidders – Jio Platforms, Locuz Enterprise Solutions and CtrlS Datacenters — did not comment on when they will integrate with the portal. Workloads or AI projects can only be assigned once service providers have procured the GPUs themselves and have integrated with the users too will have to register through the portal for applying for AI IndiaAI Mission, Yotta, E2E, and NxtGen did not respond to requests for comment. While IndiaAI had made the L1 bidders in each AI compute category public in January, in another memo sent last week, it named the ten empanelled bidders who are the next lowest bidders too (L2, L3, L4, and L5). Companies like Yotta, Tata Communications, CMS Computers, Orient Technologies, Vensysco Technologies have emerged as L2, L3, L4, and L5 bidders in various GPU categories. As per the memo, seen by ET, the companies will have to provide the GPU access latest by August, which is within six months of getting the letter of intent that was sent on February L1 bidder in each compute category would be the preferred service provider for that category. When awarding projects to the empanelled bidders, IndiaAI will direct all requests to the L1 bidder until its capacity is exhausted.'Subsequently, requests will be assigned using a round robin method, progressing from next lowest bidder to L5, and so forth, until all empanelled agencies have exhausted their capacities,' the memo had formally launched its Rs 10,000 crore IndiaAI Mission in January under which it plans to offer close to 15,000 GPUs. As part of the mission, the government is also incentivising the development of local language models built by academia and industry with investment capital and other support. The move is aimed at building up India's AI the IndiaAI Mission, the government got commitments for 18,693 GPUs, against its target of 10,000 GPUs. It is also planning to launch a second round to procure another 15,000 GPUs, ET reported on April 19.
