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The round also saw participation from Smile Group, an existing investor and leading internet investment firm, and was backed by notable founders and operators, including Rajesh Sawhney (GSF), Dinesh Agarwal (IndiaMart), Anup Agarwal (Kiwi), and Vinay Bagri (Niyo).
Founded in 2022 and headquartered in Gurugram, Sign3 is building an AI-native customer intelligence platform for real-time fraud prevention and smarter financial decisioning. The company’s AI and machine-learning proprietary architecture combines device intelligence, behavioural biometrics, and alternative data signals to generate pre-emptive risk insights for financial institutions and marketplaces.
The company is seeing strong early traction, with 20+ banks, FinTechs, and marketplaces already using the platform to detect money mule accounts, uncover hidden fraud patterns, and identify high-risk NPA users.
As digital financial services continue to scale across onboarding, lending, payments, and embedded finance ecosystems, fraud patterns have grown more sophisticated and dynamic. Traditional rule-based systems are increasingly challenged by synthetic identities, multi-account abuse, mule networks, and behavioural manipulation. Institutions are therefore shifting toward embedded, real-time intelligence systems capable of adapting to evolving risk environments.
“Fraud and identity risk are foundational challenges and top priorities for technology and risk leaders as digital finance continues to scale,” said Sahil Anand, Managing Partner at Cedar Hill Capital. “We are excited to partner with Amit and Arvinder in building Sign3’s AI-first platform and will leverage our deep domain expertise to help expand its use cases and adoption across the Financial Services ecosystem.”
Arvinder Singla, Co-Founder of Sign3, said “Financial institutions today generate more data than ever - across devices, channels, and touchpoints - yet most still fight fraud with siloed, rule-based systems that can't connect the dots. Sign3's AI-native platform unifies these signals into a single intelligence layer that detects threats like mule networks end-to-end - turning data overload into a real-time decisioning advantage. In Cedar Hill Capital, we found deep BFSI conviction, and an ecosystem, through their sister FinTech Lab and Cedar-IBS Intelligence platform that has already accelerated partnerships we couldn't have unlocked this quickly on our own.”
The capital will be used to strengthen product capabilities, enhance AI models, expand go-to-market initiatives, and scale engineering and analytics teams.

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