Why Analog
One market return. One tax rate. Everyone lives to the same age, nobody moves house, and the answer is a single percentage. We built the other kind: analysis run the way a planning team runs it, with every number traceable back to the assumption and the transaction that produced it. Here is what that means, in detail.
At a glance
Every row links to the detail below.
The analysis
Your plan is tested against 1,000 simulated market paths — a Monte Carlo analysis. On every one of those paths we compute your federal and state tax year by year, apply the contribution limits and the withdrawals required after age 73, vary lifespans the way real ones vary, and settle your estate at the end. An average-return projection gives you one path; this gives you a thousand, and reports the range.
simulated market paths behind every number
federal and state tax computed on each path
lifespans vary from one path to the next
your spending ceiling and your earliest retirement age
Every number, traceable
A score you are asked to trust is not an answer. Here, every figure opens. Start at your whole plan, descend into any year’s tax, and keep going — down to the simulated tax form for that year, line by line, and the transactions behind each line. You are never asked to take a number on faith.
Shown: a sample household, built with fictional data.
The assistant
It does more than answer questions about the page you happen to be looking at. It works on your actual plan: it models the change you describe, saves the scenarios worth keeping, and carries out the updates you approve — asking before it adds anything. Send it a statement and it reads the document; reply to its email and it picks the thread back up. When you would rather talk to a person, a licensed advisor sees the same plan.
Should we pay off the mortgage early or invest the difference?
Comparing both against your actual plan — taxes and all.
✓ Answered, with both futures saved to compare.
Shown: a sample household, built with fictional data.
Lifespans & insurance
Where a projection pins every lifespan to a fixed age, insurance can only ever be a checklist item. Here, lifespans vary across the 1,000 paths the way they vary in life, and each path carries the consequence: income stops, survivor Social Security begins, the death benefit arrives. Your coverage moves your results because it is inside the analysis, not beside it. That works in both directions — the analysis will name the coverage that closes a gap, and it will tell you just as readily when you have grown wealthy enough to stop paying for coverage you no longer need.
Shown: a sample household, built with fictional data.
Estate
It is easy to stop at “did the money last.” We follow the plan all the way through: what you leave, who receives it — honoring your will, your trusts, and the beneficiaries named on each account — what it costs in tax, and which questions we had to assume an answer to because no document you have gave one. Estate planning is not a separate product here. It is the last chapter of the same analysis.
Shown: a sample household, built with fictional data.
Real life, modeled
The events that actually decide a plan are the ones an average cannot hold: buying the next house and selling this one, a mortgage amortizing down to its payoff date, stock grants vesting on their own calendar, moving retirement savings to a Roth account over several years, a college fund with real rules about what it can pay for. Each of these is modeled as the event it is — and each one re-runs the full analysis when you change it.
Shown: a sample household, built with fictional data.
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