{"id":1847,"date":"2026-09-18T17:21:49","date_gmt":"2026-09-18T08:21:49","guid":{"rendered":"https:\/\/india-marketing.jp\/india-news\/activate-vaish-aifund\/"},"modified":"2026-09-18T17:21:49","modified_gmt":"2026-09-18T08:21:49","slug":"activate-vaish-aifund","status":"publish","type":"india-news","link":"https:\/\/india-marketing.jp\/en\/india-news\/activate-vaish-aifund\/","title":{"rendered":"Haptik founder raises $105 million AI fund, betting on 25 to 30 companies"},"content":{"rendered":"
\nThis article is based on what we could verify As of September 18, 2026<\/strong> in public records and news reports from India. India revises its tax rules and regulations frequently, and the details here may have changed since. When making an actual business decision, please check the latest information with primary sources such as the ministries responsible and local experts.\n<\/div>\n\n\n

Aakrit Vaish, founder of conversational AI company Haptik, was reported to have closed the debut fund of his venture fund, Activate, at $105 million (approximately JPY 16.3 billion as of September 2026 at $1\u2248JPY155; reports also cited roughly INR 1,000 crore, or 10 billion rupees) on September 16, 2026. The co-founder is Pratyush Choudhury, formerly of Together Fund. This is a fund formation with a clear picture of who is deploying how much capital and at what stage of AI startup, and the move by a founder turned investor to bet on the earliest stage of AI gives Japanese companies looking to partner with Indian AI firms a clue for reading the flow of capital and talent.<\/p>\n\n

Source news: debut fund closes at $105 million<\/h2>\n

Activate's $105 million is made up of an $85 million earliest-stage fund called \"Inception\" and a $20 million growth allocation. The fund completed its first close at $75 million in December 2025, reaching full close within a year of launch. Investments target pre-seed, idea-stage AI-native companies spanning AI applications, foundation models, and physical infrastructure. The fund expects to back 25 to 30 companies, with per-deal check sizes ranging from $500,000 to $3 million. The base figure is $105 million, roughly JPY 16.3 billion in yen terms ($1\u2248JPY155), and reports also cited a rupee figure of roughly INR 1,000 crore (10 billion rupees, with 1 crore equal to 10 million).<\/p>\n\n

Background: why a founder turned to investing at the earliest stage of AI<\/h2>\n

Vaish is an operator who served as CEO of conversational AI company Haptik. Having built a business and taken it through to an exit, the founder is now betting on the earliest-stage AI companies as a capital provider. Activate has already invested in seven stealth-stage companies in consumer AI, AI-enabled services, and frontier technology, and through its growth allocation has backed Sarvam AI, ElevenLabs, and Wispr Flow. It is a structure in which an investor with a builder's perspective gets involved before a company has even fully taken shape.<\/p>\n\n

Why bet at the earliest stage with small checks of $500,000 to $3 million?<\/h2>\n

Check sizes of $500,000 to $3 million per deal are designed to capture companies before they take shape, rather than making large investments at Series A and beyond. By spreading capital across 25 to 30 companies, the fund absorbs the high variance of earliest-stage bets through numbers. Its LPs include Vinod Khosla, General Catalyst, and Vijay Shekhar Sharma, along with more than 50 founders and AI researchers, general partners from a dozen or more global VC firms, and more than 50 family offices and corporations. A defining feature is the depth of the builder network sitting behind the capital.<\/p>\n\n

How it is being received locally and in the industry<\/h2>\n

Activate is backed by partnerships with NVIDIA, OpenAI, Anthropic, AWS, Google Cloud, and Microsoft Azure, as well as a GenAI community of more than 15,000 engineers. Combined with an LP base centered on founders and researchers, this is a structure that supports early-stage companies not just with capital but with a network of people and technology. Whether this earliest-stage strategy pushes companies successfully into their next stage will be measured by the fund's track record going forward.<\/p>\n\n

What this means for Japanese companies: prioritize access to the \"founder network\" over capital<\/h2>\n

When Japanese companies engage with AI in India, Activate's model raises the question of at what stage, and through whose network, to enter. The earliest-stage AI companies are selected and nurtured not just by capital, but by the builder network around them. Japanese VCs target India's universities before companies are even formed<\/a> and Meta's investment in CRED, aimed at securing the founder as well<\/a> show that early-stage relationships are determined less by the amount of capital and more by who you partner with. Before negotiating investment amounts, Japanese companies need to think first about securing a point of connection into these founder networks.<\/p>\n\n

Ripple effects on the market: capital as a catalyst spreading into AI outsourcing and SaaS<\/h2>\n

As capital flows to the earliest-stage AI companies, deal flow also spreads to AI outsourcing and SaaS businesses around them. AI outsourcing venture from a former Infosys chief<\/a> and Indian SaaS company Rocketlane's Series C<\/a> As these cases show, fund activity acts as a catalyst that broadens the base of companies that could become outsourcing and partnership targets for Japanese firms.<\/p>\n\n

Practical information and related links<\/h2>\n