Grounded Intelligence

AI that knows what it knows. And tells you what it doesn't.

Every other AI in finance is reasoning from fragments. Olomon's intelligence runs on a verified, structured record — and when something is missing, it says so.

“Am I on track to retire at 60?”

Fragment-based AI

Based on typical savings rates and standard retirement projections, you appear to be on track. Assuming a 7% annual return and standard Social Security benefits…

Grounded in Olomon

Based on your verified balances across 4 accounts ($847,200), your current burn rate, and your existing pension — yes, with one gap: your rental property income isn't connected yet. Add it to get a complete answer.

One is guessing. One knows.

The Architecture

The foundation is what makes the difference.

Most AI tools are only as good as what you give them in the moment. Olomon's intelligence runs on something different — a complete, structured, verified record that the client owns. The quality of any AI output is determined entirely by the quality of the data underneath it. Ours is categorically better.

Grounded intelligence

Answers drawn from the record. Honest about what's missing.

Structured context

Everything connected to what it describes. Nothing invented.

The verified record

Accounts. Entities. Documents. Relationships. Current.

The record layer is deterministic. Any intelligence built on top of it is grounded in verified data — not the same as guaranteed. Olomon will never invent data that isn't in your record. It will tell you when something is missing. That's a different promise from every other AI tool in the market.

In practice

The difference shows up in every question

Real financial questions deserve answers grounded in real data. Here's what changes when the intelligence has a verified record underneath it.

1

“What’s our actual monthly cash flow after everything?”

Fragment-based AI

A typical AI tool takes whatever income number the user provides, subtracts a rough expense estimate, and calls it cash flow. It doesn’t know about the auto loan, the quarterly tax payments, or the HSA contributions. The answer looks clean. The inputs are mostly invented.

Inputs: whatever you typed

Grounded in Olomon

Olomon’s intelligence works from the actual record: verified income across all sources, recurring liabilities, insurance premiums, loan payments, and account-level transactions. If a credit card or checking account isn’t connected yet, the system says so — instead of pretending the picture is complete.

Draws from: income sources, recurring liabilities, loan payments, account transactions

2

“What happens to our assets if something happens to me?”

Fragment-based AI

Most AI tools can’t even attempt this. The ones that try work from a document the client uploaded six months ago — a will that may be outdated, a beneficiary list that’s missing an account. The output is a summary of a snapshot, not a reflection of reality.

Inputs: whatever you typed

Grounded in Olomon

Grounded intelligence works from a living record: current titling on every account, up-to-date beneficiary designations, trust structures, insurance policies. When a beneficiary designation hasn’t been reviewed in two years, it flags that — rather than assuming it’s correct.

Draws from: account titling, beneficiary designations, trust structures, insurance policies

3

“How much of our net worth is in illiquid assets?”

Fragment-based AI

Fragment-based AI either ignores what it doesn’t have data for, or estimates property values and business interests from generic models. The number it returns feels authoritative. It may be missing an entire entity.

Inputs: whatever you typed

Grounded in Olomon

The structured record knows exactly which assets are present, how they’re classified, and when they were last valued. If a real estate holding hasn’t been appraised recently, the system tells you the valuation is stale — it doesn’t silently use the old number.

Draws from: asset classifications, valuation records, entity holdings

4

“Show me our household’s full tax picture.”

Fragment-based AI

An AI tool cobbles together whatever it can find — a 1099 here, a W-2 there, maybe a K-1 the client remembered to upload. The “full picture” is only as complete as the documents in the folder.

Inputs: whatever you typed

Grounded in Olomon

Intelligence grounded in Olomon works from structured tax-relevant data across every entity, account, and income source in the record. It can surface unrealized gains, charitable contribution history, and entity-level distributions — and tell you exactly which documents haven’t been connected yet.

Draws from: entity records, account data, income sources, tax documents

Whatever the question

The answer is only as good as the record underneath it.

For clients

You get answers you can actually trust — because they come from your real financial picture, not assumptions. When something is missing, you'll know.

  • Ask any question and know what the answer includes
  • See gaps before they become blind spots
  • Walk into every conversation with your advisor prepared

For advisors

Every recommendation starts from a verified baseline — not a best guess. You spend less time chasing data and more time delivering advice that holds up.

  • Start every client meeting with a complete picture
  • Surface what's outdated or disconnected automatically
  • Give recommendations grounded in data clients can verify

Human in the loop

The AI proposes. You decide. The record only changes when you approve.

Connected data updates automatically from verified live sources. But where Olomon's intelligence goes further — reading a document, proposing a valuation, flagging a change — those suggestions don't become record entries on their own. Every proposal cites its source. You approve, edit, or decline. The complete chain is logged permanently.

AI proposal

Private equity interest — Series B

$2,150,000

409A valuation

$1,840,000

K-1 capital account

$2,150,000

Comparable transaction

$2,400,000

3 sources · values diverge · awaiting review

Approved & logged

Private equity interest — Series B

$2,150,000

Primary: K-1, FY 2024

Cross-referenced: 409A report, Oct 2024

Approved

Mar 4, 2025 · 2:14pm

For Builders

Building AI for financial decisions?

If you're working on AI tools that need a clean, verified financial record underneath them — a planning tool, an advisory platform, an AI financial assistant — we're interested in talking. Whatever you're building on fragments today becomes more accurate, more complete, and more trustworthy when it's grounded in the Olomon record.

We're working with a select group of early AI and developer partners.