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Medusa Investment Partners

The AI-native operating system for lean investment teams. Built on your stack.

Financial Services
Brugg, CH
2 employees
Founded 2025
2 public signals

About Medusa Investment Partners

Your data. Amplified. Medusa is building the AI-native operating system for lean investment teams: a three-layer platform that meets boutique hedge funds, new launches, independent asset managers, and family offices where their data actually lives, reconciles it, and runs AI agents on top. We are a platform company with a forward-deployed delivery arm. Most engagements start bespoke: founder-led pilots of about six weeks that ingest your fragmented data (Excel, cloud storage, broker files, market data feeds, legacy scripts), automate your highest-pain workflow, and deploy conversational agents on top. As the custom work standardizes into the platform, your retainer declines. AI agents on one reconciled data foundation: • Investment Risk Management (MVP live): conversational risk, factor exposures, stress testing, proactive monitoring. Investment risk, in the language you already use. • Optimizer (in progress): daily rebalancing suggestions that keep exposures on budget. It advises; you decide. • Client Reporting & Communications (in progress): scheduled client reports, investor communications, RFP and inbound query workflows, market commentary. • Reconciliation (in design): trade matching and break detection across prime brokers, fund admin, PMS, OMS, and your own books. Plus custom agents built with you during engagements. Start with investment risk; add the rest when it earns its place. Provider-agnostic by design. We work on top of Bloomberg, MSCI, Axioma, Enfusion, Excel, or whatever you already have. No rip-and-replace. Large funds surround the desk with risk, reporting, and quant teams. Medusa delivers the same institutional-grade answers without the headcount or the enterprise price tag, so you stay focused on investing. Founded by a hedge-fund-insider-turned-builder: 22 years at the intersection of finance, technology, and data science, including seven years running quant research and risk at Pictet's multi-strategy hedge fund.

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2 published signals

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