India’s AI Startup Funding Race Accelerates as Term Sheets Arrive Faster

India’s artificial intelligence startup ecosystem is witnessing a noticeable shift in the pace of fundraising, with promising early-stage companies receiving investment term sheets in weeks rather than months.

As competition in the AI sector intensifies and technology continues to evolve rapidly, investors are increasingly moving faster to secure stakes in startups they believe have strong technology, capable founding teams and early signs of market adoption.

According to data from Tracxn cited by LiveMint, funding in India’s AI sector has grown from $340 million in 2020 to $1.1 billion in 2025 and $1.4 billion so far in 2026. The increase in capital is also being accompanied by a rise in the number of funding rounds, highlighting the growing investor focus on artificial intelligence businesses.

Strong AI Startups Are Getting Faster Investor Decisions

For some early-stage AI companies, the fundraising timeline has shortened considerably.

Kushal Bhagia, founder and partner at early-stage venture capital firm All In Capital, said the strongest AI teams that previously needed several months to close a seed round are now receiving term sheets within a few weeks. In some cases, investors have presented term sheets within days of the initial conversation.

The trend is particularly visible among startups led by founders with strong technical backgrounds and companies that can demonstrate early user adoption, product-market signals or revenue.

However, the faster pace is not uniform across the startup ecosystem. Growth-stage companies continue to undergo more extensive evaluation, particularly around revenue, growth rates, business models and due diligence.

Creedom.ai Raises Funding in a Shorter Window

One example of the changing fundraising environment is Creedom.ai, an AI-powered creative intelligence platform.

The company raised around ₹4.1 crore in September 2026, with cofounder and CEO Naveen Murugan stating that the company received its term sheet in approximately two weeks.

According to Murugan, investors continue to evaluate the product, company metrics and market opportunity, but the decision-making cycle has become considerably shorter compared with previous years.

The change reflects a broader reality of the AI market: waiting several months before making an investment decision can carry its own risks.

Why AI Investors Are Moving Quickly

One of the biggest factors behind the faster pace is the speed at which the AI industry itself is changing.

A startup could spend months developing a product or feature only to see a major global technology company introduce a similar capability. Such developments can potentially weaken a startup’s competitive advantage or affect the pricing customers are willing to pay.

This creates pressure for both founders and investors.

For startups, rapid product development and continuous iteration are becoming increasingly important. For investors, delaying a decision could mean entering a company at a substantially higher valuation later—or missing the opportunity altogether.

The competitive environment has also encouraged founders to build and test products faster, as advances in AI tools have reduced the time and cost required to bring certain products to users.

AI Funding Rounds Are Increasing

The growth in investor interest is also reflected in the number of AI funding rounds.

Tracxn data cited by LiveMint shows that the number of AI funding rounds in India increased from 106 in 2020 to 186 in 2025.

The growing pool of capital has created competition among investors themselves. Venture funds are increasingly looking to identify promising AI startups early, particularly before their traction becomes widely visible in the market.

This dynamic can result in faster term-sheet discussions for startups that demonstrate strong early signals.

Faster Term Sheets Do Not Mean Less Due Diligence

While investment decisions may be happening faster, investors say that the fundamentals of evaluating an AI startup remain important.

Early revenue alone may not be enough to establish whether an AI company can build a sustainable business. Investors are increasingly looking at user retention, repeat usage, product differentiation and the ability of customers to continue using the product over time.

For AI startups, this distinction can be particularly important because pilot projects can generate initial revenue relatively quickly. The more meaningful question may be whether customers continue to use the product after the pilot phase.

In other words, investors are looking beyond demonstrations of what AI technology can do and focusing increasingly on whether the technology solves a persistent customer problem.

The AI Investment Cycle Echoes Earlier Startup Waves

The rapid movement of capital into AI also resembles previous periods when particular startup categories attracted intense investor attention.

India has previously experienced accelerated investment cycles around e-commerce, hyperlocal businesses, content platforms, edtech and SaaS.

According to investment banking executive Shivakumar Ramaswami, the current acceleration in term sheets is another example of investors competing for companies operating in a high-interest sector.

However, the speed of fundraising appears to be more pronounced at the early stage, where startups can potentially change direction and develop products much faster.

For later-stage companies, investors continue to place greater emphasis on established metrics such as revenue quality, growth, financial performance and detailed due diligence.

What This Means for India’s AI Startup Ecosystem

The faster fundraising cycle could provide promising AI startups with quicker access to capital, allowing founders to accelerate hiring, product development and market expansion.

At the same time, the rapidly changing technology landscape means startups cannot rely solely on securing funding. Their ability to continuously improve products, retain users and build sustainable business models will remain critical.

With AI funding reaching $1.4 billion in India so far in 2026, investor interest in the sector is clearly growing. The emerging trend of faster term sheets suggests that competition is no longer limited to startups competing for customers—it is also increasingly visible among investors competing to back the next generation of AI companies.

Source: LiveMint, Tracxn data and industry executives quoted in the report.