One-page overview · Advisory & wealth programs
A model-based portfolio framework for investment analysis
Cali Advisory is a research, modeling, and educational environment for portfolio construction methodology, allocation frameworks, and supervisory workflows—without execution, personalization, or live investment advice.
The platform does not currently provide personalized investment advice or discretionary portfolio management.
Designed for professional and institutional use.
The problem for advisory & wealth programs
- Clients increasingly hold crypto and digital assets in venues that don't show up clearly in traditional statements or KYC questionnaires.
- Advisory and supervision teams struggle to combine blockchain activity, exchange flows, and off-platform holdings into a single risk view for a household, trust, or plan.
- Committees need narratives that explain why a given exposure, digital sleeve, or model is appropriate, not just a score or label.
- Existing tools often live in separate silos—surveillance, OSINT, planning software—making it hard to document how judgments were reached.
The Cali solution
Cali brings investigations and advisory research into one environment:
- Use Activity, Graph, OSINT, Balance, and Assets to understand on-chain flows, services, and posture for a client or household.
- Use Cali Advisory (research) to translate those facts into plain-language narratives, risk bands, and digital-asset sleeve concepts that committees can review and supervise.
- Keep every step—inputs, assumptions, and outputs—logged for compliance review, training, and future documentation.
Where Cali sits in your stack
Cali is designed to sit alongside your existing custodians, trading tools, and planning systems:
- Use Cali's investigative surfaces to understand external wallets, CEX accounts, and high-risk services connected to a client.
- Map those findings into policies (e.g., maximum crypto exposure, restricted venues, digital sleeve ranges) captured in Cali Advisory's engine design.
- Keep your core custody and execution relationships unchanged—Cali is focused on evidence, explanation, and model documentation, not holding assets.
Portfolio research framework & digital sleeves
Cali Advisory's portfolio research framework models illustrative multi-asset allocation scenarios:
- Profile inputs capture time horizon, risk preferences, liquidity needs, and digital-asset comfort.
- Profiles are mapped to risk bands, with explicit crypto caps that depend on familiarity and stated comfort.
- Allocation concepts are expressed as sleeves—cash/bonds, core equities, satellite risk, real assets, and optional crypto sleeves—designed for implementation via your own models or platforms.
- Every decision path is explainable, repeatable, and ready to be governed by your committees as part of research and documentation workflows.
Example workflows Cali supports
- Reviewing a high-net-worth client with external wallets, CEX accounts, and DeFi activity to decide how much digital-asset exposure fits within policy.
- Preparing an internal memo for an investment or risk committee on a proposed digital sleeve, including flows analysis, counterparties, and scenario bands.
- Supporting supervisory reviews where examiners need to see how client crypto activity was factored into illustrative risk assessments or research memos.
- Training new advisory staff on how crypto flows, services, and risk tiers are understood and documented inside your program.
How teams usually start with Cali
- Start with investigations. Deploy Cali's core platform (Activity, Graph, OSINT, Balance, Assets, Reports) to get a defensible view of client and counterparty behavior involving digital assets.
- Add Advisory research. Use the Portfolio Strategy Simulator and methodology to design bands, caps, and sleeves that match your risk philosophy—still in R&D, not yet live advice.
- Extend into formal disclosures if needed. If your institution later pursues a regulated offering, the same research framework can inform future Form ADV materials, agreements, and supervisory controls—published separately when applicable.