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HyperNorm AI

Decision intelligence for wealth advisors and RIAs. Know which portfolios need action, why it matters, and what to recommend next.

AI · Fintech
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About HyperNorm AI

HyperNorm AI is a decision intelligence platform for registered investment advisors (RIAs) and wealth managers who need to monitor large, complex client books and act with confidence at scale. Founded in 2024 in Bengaluru by Keyur Faldu (CEO, ex-Meta, McKinsey, Embibe) and Peeyush Jain (CTO, ex-Verloop, Embibe, British Telecom), the platform answers three daily questions for advisory teams: which portfolio needs action today, why it matters now, and what decision aligns with each client's mandate. The product combines causal reasoning, financial intelligence, and explainability to map macro events, earnings surprises, and market regime shifts to direct portfolio impact in plain language. Advisors get prioritized morning alerts ranked by urgency and risk exposure, mandate-aligned recommendations filtered through each client's goals and constraints, what-if scenario analysis before committing capital, and meeting intelligence that turns client conversations into follow-up tasks and portfolio actions. HyperNorm claims 70M+ events enriched in near real time and 65% directional accuracy on stock and fund price predictions. HyperNorm raised $2.2M in seed funding in June 2026, co-led by Capital 2B (Info Edge's deeptech arm) and SenseAI Ventures, with participation from Boundless Ventures, iOPEX Technologies, and angels Amit Sheth and Bhavin Manek. The company serves paying clients across the US, Singapore, and India and is positioning decision intelligence as a foundational layer in modern wealth management, beyond workflow automation.
Launch date
July 20, 2026
Category
AI · Fintech
Funding
Seed ($2.2M · Capital 2B, SenseAI Ventures)

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