HyperNorm provides AI‑native decision intelligence for registered investment advisors and wealth managers, surfacing the most urgent portfolio actions, market impacts, and mandate‑aligned recommendations in plain language. Its platform ranks client alerts by risk and urgency, maps macro events to individual books in near real‑time, and offers AI research assistants that deliver institutional‑grade answers to any investment query, enabling advisors to scale capacity without additional headcount.
Funding
Funding not disclosed
Founders
Product
Problem
Registered investment advisors and wealth managers must continuously monitor large, complex client portfolios, interpret macroeconomic events, and generate personalized recommendations—all while limited by time and staffing constraints. Manual scanning of accounts and fragmented data sources leads to delayed actions, missed opportunities, and increased operational risk.
Solution
HyperNorm delivers AI-native decision intelligence that surfaces the most urgent portfolio actions each morning, ranks them by urgency, risk exposure, and client mandate, and explains the underlying market drivers in plain language. The platform maps real‑time macro and market events to every client’s holdings, providing contextual impact analysis. Recommendations are filtered through each client’s risk profile, goals, and investment mandate, ensuring advice is personalized and defensible. Integrated AI workflows automate end‑to‑end processes—from signal detection to meeting action items—allowing advisors to handle more clients without adding headcount. The system integrates with existing tool stacks, delivering live decision signals and scenario analysis directly within the advisor’s workflow.
Target Audience
Primary customers are registered investment advisors and wealth managers who manage multi‑asset client portfolios and need real‑time, personalized decision support.
Features
- Priority intelligence engine that ranks portfolios needing attention based on urgency, risk exposure, and mandate constraints
- Causal market intelligence that translates macro events and earnings surprises into plain‑language impact summaries for each client’s holdings
- Mandate‑aligned recommendation engine that tailors advice to individual risk profiles, goals, and investment constraints
- AI‑driven what‑if scenario analysis and reallocation simulations performed in near real‑time
- End‑to‑end AI-native workflows that automate data enrichment, signal generation, and post‑meeting action item creation
- Plug‑and‑play integration with existing advisor platforms and data sources, requiring no additional infrastructure
- Continuous model updates that adapt to shifting market regimes and new data signals