
Premji Invest's latest bet? A tech-powered NBFC led by a former ICICI banker
MUMBAI
:
Premji Invest, the family office of Wipro founder chairman Azim Premji, is looking to back former ICICI Bank banker Bijith Bhaskar to set up a tech-driven non-banking finance company (NBFC), according to a person close to the matter.
The firm, which makes early and growth-stage investments in start-ups, is looking to pick up a 20% stake in the NBFC, which will focus on secured small business loans.
The NBFC, which has not been given a name yet, is looking to raise around ₹500 crore from Premji Invest and a couple of other investors, added the person cited earlier.
Also Read: Inflation fears rise in households: RBI poll
'There is a great need for tech-driven data-led NBFC which focuses on secured lending," he said. 'Being fully digital, data and tech driven, this will be a low opex model."
Bhaskar, who previously worked in several roles at ICICI Bank, including digital banking head, is now an operating partner of the India Private Markets Team at Premji Invest. He is currently in the process of applying for an NBFC licence with the Reserve Bank of India (RBI).
According to RBI norms, an NBFC can be incorporated if it has a minimum net owned fund of ₹10 crore.
Premji Invest's recent bets
On 12 June, VCCircle reported that Premji Invest had invested in Premier Energies Ltd, a maker of solar cells and solar modules, and Indegene Ltd, a life sciences company, over the past few days. This is in addition to the two investments they made earlier this year.
Also Read: RBI aims to boost economic growth, liquidity with jumbo rate and CRR cuts
The family office first teamed up with Manipal Group chairman Ranjan Pai's family office, Claypond Capital, to invest in Akasa Air in early February.
The firm also subscribed to shares worth about ₹23 crore in Ajax Engineering Ltd as part of the anchor allotment by the concrete equipment manufacturing company ahead of its initial public offering (IPO).
According to its website, TVS Credit and KreditBee are its two investments in the non-bank sector within its financial services portfolio. Last year, it saw at least 15 transactions, including investments in fintech firm Mintifi, furniture retailer WoodenStreet, jewellery brand Giva, wealth management startup Dezerv, and US-based legal-tech startup EvenUp.
"The secured MSME (Micro, Small and Medium Enterprises) lending space is seeing a lot of traction, unlocking the assets owned by businesses for debt capital," said digital lending expert Parijat Garg. 'Several lenders have recently diversified from being unsecured players into secured play. LAP (loans against property) has grown by 22%+ YoY (year-on-year) over the past few years, with NBFCs leading with 38% share."
Also Read: US in stagflationary shock, India remains outlier: BofA
Premji Invest has also invested in two life insurance companies—HDFC Life and ICICI Prudential—the National Stock Exchange (NSE), and Smallcase, a stock market investment app.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time of India
an hour ago
- Time of India
‘50-bps Cut a Clear Growth Signal'
India's monetary policymakers used a benign inflation outlook to frontload rate cuts and send a 'clear signal' to productive sectors to boost growth, showed the minutes of the June 6 meeting that slashed benchmark rates by an outsized half a percentage point. A bigger reduction would also quicken transmission, argued those in favour. 'Given the sharp reduction in inflation over the past few months and the projected reduction in annual average inflation… it is expected that the front-loaded rate action along with certainty on the liquidity front would send a clear signal to the economic agents, thereby supporting consumption and investment through lower cost of borrowing,' RBI governor Sanjay Malhotra was cited as saying in the minutes of the Monetary Policy Committee (MPC) published Friday. On June 6, the Reserve Bank of India (RBI) lowered the benchmark repo rate by an unexpected 50 basis points to 5.5% and changed the policy stance to 'neutral' from 'accommodative', going by the majority vote of the MPC. One basis point is a hundredth of a percentage point. Rajiv Ranjan, an internal member on the rate-setting panel, was of the opinion that since monetary policy worked with a lag, under the current circumstances, a 50-bps cut was preferable to two 25-bps cuts for faster transmission. 'Similar to the frontloaded rate hikes during the tightening cycle, frontloading rate cuts could help in hastening transmission by providing decisive signals and confidence to the stakeholders' Ranjan said. Deputy governor Poonam Gupta agreed there was merit in frontloading rate cuts. 'I vote for a policy rate cut by 50 bps in this meeting. This should help in fostering policy certainty and faster transmission than a staggered rate cut, and in more effectively countering the challenges emanating from the global economy,' she said in her first MPC vote. The inflation outlook is 3.7% for FY26, lower than the 4% mandated target. The GDP is forecast at 6.5% for the year. In May, the headline consumer price gauge was 2.82%. Saugata Bhattacharya, who had split ranks with panel members on the quantum of the reduction, voted for a 25-bps rate cut, arguing that boosting durable liquidity would be more impactful on transmission than a steeper reduction in policy rates. 'The RBI's liquidity infusion and other measures have played a key role in this process, partly via lower money market and short-term interest rates, reducing the overall banks' cost of funds,' Bhattacharya, an external member, was cited as saying. 'The RBI data suggests that Rs 9.5 lakh crore of durable liquidity was injected into the banking system since January. In this context, I believe the RBI's assurance of continuing large durable liquidity support is likely to have a more dominant effect on further transmission compared to a deep cut in the repo rate.' The RBI's cumulative 100-bps cuts since February come amid private investment, especially in manufacturing, and urban consumption, remaining subdued. Additionally, the uncertain external environment has complicated the economic growth outlook for 2025-26, especially due to political tensions and trade war which has impacted job creation. 'A heavier-than-expected cut in policy rate (along with the possible fiscal policy support) would send a clear message that India is serious about supporting economic growth momentum and would spare no effort in terms of policy interventions,' said external member Nagesh Kumar, director and chief executive, Institute for Studies in Industrial Development. 'A double dose of rate cut is likely to bring down lending rates significantly, helping to spur the investment and consumption of durable goods.' Expectations of further rate cuts have likely delayed the materialisation of demand and investment decisions. 'In such an environment, given the market expectation of a 50-bps rate cut in this cycle, a staggered rate cut can further delay the materialisation of demand and investment decisions,' said external member Ram Singh, Director, Delhi School of Economics. 'By contrast, a front-loaded 50-bps cut in the policy rate is likely to help achieve the twin objectives of supporting demand and growth by reducing the cost of funds for borrowers'. One of the concerns raised was the interest rate differential between India policy rates and the US Fed rates, which could lead to capital flight and can put pressure on the rupee. 'However, given the robust fundamentals of the Indian economy, including a comfortable current account situation, any pressure on INR is likely to be confined to the short run,' said Singh.


Hindustan Times
an hour ago
- Hindustan Times
Delhi: 44-year-old CA held for duping woman of ₹4.75 crore
A 44-year-old chartered accountant (CA) was detained for allegedly duping the director of a private share trading firm of over ₹ 4.75 crore by promising large profits through stock market investments, the police said on Friday. The accused, identified as Mukesh Garg, was nabbed from his residence in Kaushambi, Ghaziabad. (Representational image) The accused, identified as Mukesh Garg, was nabbed from his residence in Kaushambi, Ghaziabad. Police said they were able to recover ₹ 4.74 crore of the cheated amount after swiftly alerting the Indian Cybercrime Coordination Centre (I4C) and freezing multiple layers of bank transfers involved in the fraud. 'We held Mukesh Garg after registering a case of cheating, impersonation, and use of forged documents under sections 318, 319, and 340 of the Bharatiya Nyaya Sanhita,' said Aishwarya Sharma, additional deputy commissioner of police (southeast). The complaint was lodged by Ashima Nayyar, a director at a private share trading firm, who claimed that Garg had offered her high returns on stock market deals. On his assurance, she transferred ₹ 4.75 crore in seven tranches to his bank account. However, Garg stopped responding after receiving the funds and did not return the money despite repeated requests. Because the amount involved exceeded ₹ 50 lakh, the case has now been transferred to the Intelligence Fusion and Strategic Operations (IFSO) unit, which specialises in cybercrime investigations. 'He will now be handed over to the IFSO team for further interrogation,' Sharma added. Garg is also the director of a Noida-based firm where he allegedly ran his operations.


Mint
2 hours ago
- Mint
India is missing the core elements needed to realise the AI dream
New Delhi: India's mushrooming artificial intelligence-focused startups are attracting a lot of buzz, but a lack of innovation and groundbreaking research means the country is way behind the US and China in the tussle for AI supremacy. This is a result of what the industry calls 'secondary' innovation—technologies that cannot be patented globally to influence global economics in the long run. Spending on foundational engineering, research and development (ER&D) work in AI is minuscule, at least five executives involved in AI-related work told Mint. In November, the World Intellectual Property Organization (Wipo's) annual report said that India was the sixth region in the world in terms of overall patent applications—behind China, the US, Japan, Korea and the European Union. However, the gap was stark—China filed 1.7 million patents through 2024, almost 3x more than the US, with 600,000 patents. India filed only 90,000 patents—5% of what China did. Also read: AI firms getting GPU sops may see govt at the table The gap is even more evident in generative AI, the core battlefield in global technology right now. Last year, China filed over 38,000 patents in generative AI with Wipo, the global patent authority, ahead of the US with around 6,500 patents. India ranked sixth here too with 1,350 patents in generative AI—3.5% of China's advancements, and around a fifth of the US. Ashwini Vaishnaw, Union minister for electronics and IT, promised last month that 'India's first foundational AI model is still on track to be released by the end of this year". Yet, the patent filings suggest a US-China war for AI supremacy threatens to leave India out of the league of nations that would influence global innovation and economy over the next decades. Fund scarcity Founders argue that much of this is due to the lack of large early-stage funds. US-based Essential AI, founded by Ashish Vaswani, the former Google Brain engineer who co-invented the transformer model that backs all generative AI applications, emerged from stealth in December 2023 with a $56.5-million series-A funding round. Others that have raised large capital in the US over the past three years include Adept AI's $65-million Series A funding round in April 2022, Cursor's $60-million Series A in August and more. Each of these ventures is currently investing in building foundational technologies that, in the long run, would be patented and licensed to run AI applications and services around the world. Also read: Sovereign silicon: India targets indigenous 2nm, Nvidia-level GPU by 2030 Executives leading global ventures agree that India is behind the curve in AI at the moment. There is 'definitely a lack of enough AI engineers working on core engineering in the field in India", said Pranav Mistry, founder and chief executive Mistry, former global chief of Samsung's advanced research division, spoke withMinton the sidelines of a gathering in Bengaluru earlier this month. 'There is certainly a mindset difference between India and the US in terms of how ventures approach AI engineering in the two nations. In the end, being able to hold patents is what will give geographies access to geopolitical soft power over the years to come—and India should definitely focus on this field," Mistry said. Vaswani of Essential AI said, 'There's no reason for India to not build its own AI models—and there should be more ventures focused on doing it in and for India, within India." Developing vision Investors argue that a lack of vision for the long run from founders is a key part of why core ER&D work is not being found among India's AI startups. 'Any entity pitching for undertaking foundational AI engineering comes with a five-year road map, which is the equivalent of multiple decades in the modern-day AI world. It is absolutely true that India is still working on building on top of the engineering that US and other entities are undertaking—and work that could be licensed globally and impact industries holistically are still at a very limited stage in India," said Pratip Mazumdar, co-founder and partner at early-stage venture capital firm, Inflexor Ventures. But the lack of funds is also a key reality. In India, apart from Sarvam's $41-million Series A funding round in December 2023, there have been no large early-stage investments in AI-focused startups. Noida-based and Bengaluru's two startups that, alongside Sarvam, have been the first to be backed by the Centre's $1.2-billion IndiaAI Mission, have raised $5.25 million and $4 million in funding so far, respectively. Gurugram-based Soket AI Labs, the fourth of the first government-backed startups, has yet to raise a venture capital round and only has 'around $3 million from angel investors" so far, according to its founder and chief executive, Abhishek Upperwal. Government support 'This is why the government's AI Mission reducing the cost of access to processors for training AI models is crucial, and we're happy to offer equity to the government in exchange for the access," Upperwal said. Also read: The brain behind Generative AI has his sights set on India 'Venture capital investors in India have a limited appetite for investing in deep-tech R&D, which is crucial for AI startups to build a new foundational AI architecture that can be patented and licensed out for global usage in the long run—we've been trying to raise capital for the past two years, but to no avail," he said. The issue, policy experts said, goes beyond just the startups. A startup 'is only as able as the whole ecosystem—and no single entity can alone solve a fundamental issue in an entire industry", said Rohit Kumar, founding partner of The Quantum Hub and a consultant in various government and public sector initiatives. 'Fundamentally, R&D in India is still not well-prioritized—budgets are too little, and institutions do not have the means that their US and China counterparts have to pursue fundamental innovation," said Kumar. 'Incubators in top engineering institutes are hampered by bureaucratic processes, which isn't seen internationally—India is heavily shackled in these ways." In the long run, though, investors believe that a key balance between core innovation and nifty application development would be the right way forward. Vishesh Rajaram, managing partner at deep tech-focused venture capital firm Speciale Invest, said that while India is 'a little behind the curve at the moment, we haven't missed the bus in AI yet." 'A lot of the foundational work is hard, and has multiple challenges to the tale—access to infrastructure is limited, and the kind of talent that can actually undertake work that would be foundational or be patented is also limited. As a result, there's, of course, room for startups to catch up in terms of core engineering efforts, unlike how many refer to India having missed the opportunity to influence the global electronics and semiconductor industries," Rajaram said. Prayank Swaroop, partner at venture capital firm Accel, said for startups, 'the real opportunity lies in purpose-built AI applications that solve specific problems at scale. We're seeing Indian startups creating targeted solutions using existing foundational models as building blocks—this approach allows faster innovation cycles and can deliver significant value." Others, however, believe that more weight to fundamental innovation is the need of the hour for India. The Quantum Hub's Kumar cited China's technological progress as an example. 'The high-volume, low-margin secondary innovation markets also need to be captured. But, as China has proved, gains made in innovation at scale need to be reinvested into fundamental innovation," he said. 'China is a clear example of how that works, and we need to replicate this in India more efficiently."