In section Startups & Technology

Nandan Nilekani steps back from Fundamentum as $200M third fund launches

Nandan Nilekani, the Infosys co-founder and architect of India’s digital public infrastructure, is stepping down as a general partner at Fundamentum Partnership. The transition coincides with the firm’s launch of its third fund, a $200 million vehicle intended to bolster late-stage startups across India’s evolving consumer and fintech sectors.

Nandan Nilekani steps back from Fundamentum as $200M third fund launches

While shedding his formal GP title, the 71-year-old technologist remains tied to the firm’s future. Nilekani will serve as the anchor investor for the new fund and continue his involvement as a strategic advisor and mentor to portfolio founders. Sanjeev Aggarwal, who co-founded the firm with Nilekani in 2017, characterized the move as a shift in administrative role rather than a withdrawal from the firm’s mission.

Fund III represents a significant evolution for the partnership, which has historically focused on Series B and later-stage bets like Spinny and PharmEasy. The new fund plans to issue checks of approximately $10.5 million to eight or ten startups, with a specific interest in AI applications built atop existing global models. The firm is currently raising capital from a mix of domestic and international institutions, reflecting the maturation of the Indian venture landscape. Aggarwal noted that unlike the mid-2000s, when domestic capital was virtually nonexistent, India now possesses the depth to sustain local firms entirely through home-grown funding.

The leadership reshuffle also formalizes a broader management structure. Alongside Aggarwal, the third fund will be steered by Prateek Jain, Mayank Kachhwaha, and finance chief Sanjay Chaturvedi. This follows the exit of former general partner Ashish Kumar, who recently launched an independent, AI-focused venture fund that also counts Nilekani as an anchor investor. As Fundamentum moves into its next cycle, the firm looks to capitalize on the application-layer potential of India’s digital economy, favoring practical implementation over the development of foundational AI models.

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