Seed to Series A fund research profile
Artha Venture Fund is an India-focused micro-VC strategy backing seed and pre-Series A founders with early capital and operational support. Its public mandate is concentrated on fintech infrastructure, applied AI, deep tech and consumer businesses with the potential to become category leaders.
At a glance
Research profile
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Investment lens
Artha Venture Fund uses a seed to series a; micro-vc approach across Fintech infrastructure, applied AI and deep tech, consumer.
Current evidence
Artha India Ventures announced the first close of Artha Venture Fund II at ₹250 crore in October 2025, with a ₹500 crore target and ₹100 crore greenshoe. The fund plans to invest in 36 seed-stage startups in premium consumption, fintech infrastructure, applied AI and deep tech.
Strategy
Seed to Series A; micro-VC
Sector focus
Fintech infrastructure, applied AI and deep tech, consumer
AIF structure context
Indian venture capital and angel-fund strategies are commonly structured as Category I AIFs. Verify the specific vehicle and registration before investing.
Current signal
Artha India Ventures announced the first close of Artha Venture Fund II at ₹250 crore in October 2025, with a ₹500 crore target and ₹100 crore greenshoe. The fund plans to invest in 36 seed-stage startups in premium consumption, fintech infrastructure, applied AI and deep tech.
Investor questions
Artha Venture Fund is covered in Rupeia's venture capital research universe. The current public record describes the strategy as Seed to Series A; micro-VC, with a sector focus of Fintech infrastructure, applied AI and deep tech, consumer. The profile should be read with the linked source trail and Typical route: Category I AIF context.
The profile displays only company or asset names attributable to Artha Venture Fund in the reviewed public sources: Agnikul Cosmos, Everest Fleet, LenDenClub, Daalchini, InstaAstro, GetWork, Natch, Aliste Technologies, DrinkPrime, Himshakti, Clientell, Raana Semiconductors. It does not represent a complete current portfolio unless the manager has published one.
The manager reports a long-run portfolio and exits across its fund history. Public 2025 coverage identifies Fund I companies including Agnikul Cosmos, Everest Fleet, LenDenClub, Daalchini, InstaAstro and GetWork, while the manager’s portfolio pages identify additional AVF-tagged companies. These signals are not a substitute for fund- and vintage-specific net performance, realised distributions and audited or administrator-supported reporting.
Public fund size: Fund II target: ₹500 crore plus a ₹100 crore greenshoe; first close: ₹250 crore in October 2025. Fund I is separately described as a ₹225 crore vehicle.. Public terms or access information: Seed to Series A venture capital; public Fund II materials describe approximately ₹4 crore initial cheques and ₹8–16 crore follow-ons, with a four-year deployment cycle and a target of 15–20% ownership in top companies.. Current fees, minimum commitment and availability must be confirmed for the exact named vehicle in its fund documents.
The current source record names Anirudh A. Damani (Managing Partner); Sandesha Jaitapkar (Chief Operating Officer); Sunita Manwani (Chief Financial Officer). Verify current roles, departures, attribution and key-person provisions before relying on the team history for a new commitment.
Review stage concentration, follow-on reserves, company failure rates, dilution, exit timing and the gap between paper valuations and realised distributions. The current open diligence point is: Fund-level realised returns and complete vehicle-by-vehicle attribution are not publicly disclosed; this record is limited to the Artha Venture Fund early-stage strategy and does not substitute the Artha Select, Continuum or Artha India Ventures vehicles..
2025-10-14: Artha India Ventures announced the first close of Artha Venture Fund II at ₹250 crore in October 2025, with a ₹500 crore target and ₹100 crore greenshoe. The fund plans to invest in 36 seed-stage startups in premium consumption, fintech infrastructure, applied AI and deep tech.
Next step
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