This proposal is held behind a passcode.
We start where everything else stands: a central, cloud-based data layer that turns your custodians into one place you can see — and slice — your entire book. Get that right, and every vertical becomes a module on top.
Everything marked with the v2 pill in this deck is new or updated. In short:
The destination is a single, scalable platform that spans the family office. We don't build all of it at once — we build the layer that lets us add each piece as a module.
Every stalled data project we've seen starts the same way — teams rush to build use cases before the foundation exists. So it wobbles, then it falls. We build the base first; everything else stands on it.
Custodian feeds land raw, get curated once, then surface two ways — a dashboard your team reads and an AI layer your team asks. All on Singapore (ap-southeast-1), built to add custodians and modules without re-architecting. Visibility — the dashboard surfaces performance vs. benchmarks, SIPO risk & breach alerts, dividends & upcoming earnings, and a view per custodian. The whole book, the moment data lands. AI layer — sits on the curated data: flags portfolios in / out of line with each mandate, answers plain-language questions, and examines price distributions. The answers flow straight to your team.
| Your requirement | How it's calculated — in plain English | Inputs | Modules |
|---|---|---|---|
| Abs & % change — TWR | We compute returns daily for listed holdings and on NAV dates for private ones, strip out the effect of money moving in or out, then chain them into any period — month, quarter, year, since inception. | positions · txns · prices · FX | CMPE |
| Since inception — MWR / IRRnew | We line up every deposit and withdrawal with its date, then find the yearly rate that would grow those cash flows into today's value — the primary lens for the private sleeves. | flows · valuations | CPE |
| Out / under vs benchmarks | We compute each sleeve's return and its index's return over the same period and subtract; the whole book is measured against the SIPO-weighted mix of those indices. | benchmark series · SIPO weights | MHE |
| FX contributionnew | We measure returns in local currency and in your base currency — the difference is the FX effect. | FX rates · positions | CME |
| Dividend / yield | We add up all income received, divide by the average value of the book, and read upcoming payments from the corporate-action calendar. | CA calendar · txns | CMPE |
| Costs — mgmt & perf feesnew | We apply your fee schedules to assets and to performance, period by period, and add each fund's own charges read from the product master. | fee schedules · AuM | HDE |
| Sharpe & volatilitynew | We measure how much returns swing — daily for listed sleeves, unsmoothed marks for privates so stale NAVs don't flatter it — and divide the return above cash by that swing (Sharpe). | return series · NAVs · risk-free rate | CME |
| Beta & correlationsnew | We compare the book's moves against the market's (beta) and each sleeve's against the others' (correlation) — daily where listed, unsmoothed marks where not. | return series · NAVs | CME |
| Weights & concentration | We weigh every holding against its class and geography target (industries once defined — Day 2), and total each name, issuer and bank — looking through funds — to test against its threshold. | holdings · security master | CPDE |
| Max drawdown / recoverynew | We trace the book's value day by day, find the deepest fall from any peak, and count how long it took to climb back. | NAV series | E |
| Factor & market-capnew | We score every holding on style (value / growth / blend) and size from index classifications, rank momentum monthly from price history, then add up the sleeve's weight in each bucket. | security master · classifications | MPE |
| Stress replaysnew | We replay each crisis — 2008 · Mar-20 · 2022 · Aug-24 — on today's book and show what it would have lost versus the benchmark. | episode return sets | ME |
| Liquidity & unwindnew | We estimate how many days each holding takes to turn into cash — trading volumes for listed names, dealing terms for funds, lock-ups for privates. | volumes · fund terms · docs | CMHE |
| Firm — AuM · revenues · NNMnew | We total assets and revenues across every account, then strip market moves out of the change — what's left is real client money in or out. | all domains | CHDE |
| Day 2 — VaR · stress · FI * | Value-at-risk, what-if scenarios and bond analytics — defined and priced together at the working session. | yield curves · bond terms | MPE |
A family office runs on confidentiality. The foundation is built so your data is protected by design — and never leaves your control.
Your SIPO — Statement of Investment Policy and Objectives — sets the rules. Parameters are yours; we set them together. Here are four live examples of what the monitoring catches as the book moves; step through them.
We've already built this for another family office. Click through to a live example you can explore yourself — it's the real product, running on entirely made-up data.
Another deliverable we've produced for a family office: concise memos that turn an earnings print into a decision. The same data layer feeds them.
Q3 revenue $2.41bn, +14% YoY — a 3% beat. EPS $1.32 vs $1.18 est. Operating margin +180bps to 24.6%. FY guidance raised to high-teens growth.
The fund is 10.7% of the equity sleeve (3.6% of the book) — a top-5 holding. The beat strengthens the 12-month thesis; quality and momentum screens both improve. This position sits within its own mandate limits.
Hold. Trim only if it approaches the 10% single-position cap. Watch FX — ~38% of revenue is EUR-denominated.
300% enhanced R&D deduction via Midas as a certified DLRI — next slide.
You own your data and every curated layer we produce; export terms are set in the SOW.
Building with Midas qualifies for Hong Kong's 300% enhanced R&D deduction — bringing the effective cost of the foundation down to roughly half the fee.
Midas is a certified DLRI (No. D041). 300% on the first HKD 2M; 200% above — confirm filing with your tax advisor. Source: IRD (Cap. 112).
Call or face-to-face, as you suggested: we walk your Day-1 / Day-2 list, confirm feasibility item by item, and capture what's still to be defined.
We draft and circulate the NDA and a simple statement of work. You sign — about a week.
Scoping, data-access requests, and the foundation starts building.