Piper Serica Angel Fund backs early-stage Indian startups at Pre-Series A and Series A, with a broad sectoral appetite spanning SaaS, FinTech, DeepTech, CleanTech, and consumer internet, seeking founders building scalable, differentiated businesses.
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Piper Serica Angel Fund backs early-stage Indian startups at Pre-Series A and Series A, with a broad sectoral appetite spanning SaaS, FinTech, DeepTech, CleanTech, and consumer internet, seeking founders building scalable, differentiated businesses.
1 company mapped to this fund.
Background and context for founders evaluating this investor.
Piper Serica Angel Fund is an early-stage venture vehicle associated with the Piper Serica brand, which has built a strong reputation in Indian markets for disciplined, research-oriented investing. The fund participates at Pre-Series A and Series A stages, writing cheques in the INR 3–5 lakh range, making it relevant for founders looking for committed angel-level institutional backing alongside larger rounds. The fund maintains a deliberately wide sectoral mandate, covering SaaS for enterprise and SMB, FinTech, DeepTech, CleanTech, Web3, gaming, logistics, health tech, PropTech, creator economy, and more, meaning sector fit is rarely a constraint. Portfolio companies such as Crediwatch in B2B credit intelligence, Alt Mobility in EV fleet leasing, and Driffle in gaming point to a comfort with both deep-tech and marketplace models. Founders can expect a capital partner that brings analytical rigour and a long-term orientation shaped by public markets discipline. The fund is best suited for Indian founders who have early product-market signals and are raising a structured round with multiple investors participating.
The fund participates at Pre-Series A and Series A stages, writing cheques in the INR 3–5 lakh range, making it relevant for founders looking for committed angel-level institutional backing alongside larger rounds.
Alt Mobility, Oditly, Crediwatch, ZFW Dark stores, Driffle
We typically focus on tech startups where tech is the main USP and can be leveraged to scale exponentially
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