AssetShop · EOS · Enterprise Operating System

In practice it looks like this. Procurement's numbers do not match finance's. The plan does not match what operations actually ran. An acquisition left two ERP systems running side by side, and neither was retired. And the same supplier, customer, SKU, or contract now exists in several versions that no longer agree with each other.

What EOS is, in one sentence: establishing decision-grade agreement across conflicting systems, with provenance and context, before downstream intelligence acts.

Your systems can all be correct,
and still disagree.

We find the discrepancies that cost you money. EOS reads what you already run, shows you where the systems disagree, and traces every figure to the dated record that produced it.

One objectPO‑4471820

SAP S/4HANA · AMER

184,200.00

as recorded · 12 Apr, 09:14 UTC

NetSuite · EMEA

179,640.00

as recorded · 12 Apr, 11:02 UTC

4,560.00

Contested

Each system is true to its own record. The disagreement only exists above them, which is exactly where nobody is looking.

Tracedcontract repository, clause 4.2 Decidedby the authority who holds it Measuredat day 90, against your baseline

The full six-beat treatment of cases like this one, cost, discovery, change, outcome, closure, runs live on the Asset Passport.

Find one in your data Watch it work →

Read‑only · No migration · No replacement · First finding in 14 days

Embracing the future while honoring the past.

What a disagreement costs

Three systems. One inventory. Three answers.

A company carries roughly $200M of inventory. Each system below is correct about its own records. The money hides in the space between them.

SAP · ERP$48.2Mas recorded

WMS$51.7Mas recorded

Procurement$46.9Mas recorded

$4.8M

of working capital exposure between the highest and lowest answer, with every figure traced to the dated record that produced it, and the disagreement routed to the one person with authority over it.

Synthetic figures, labeled as such. Your numbers replace them in the first session.

Show me, in fifty-six seconds → The discrepancy of the week → Bring us your disagreement →

The numbers EOS moves

Working capitalInventory and payables that three systems count three ways. Reconciliation laborThe manual export-and-compare work that never ends. Decision cycle timeDays lost arguing about whose number is right. Audit costEvidence assembled once, verifiable offline, forever. Exposure found earlyA contested figure surfaced before it compounds.

The promise, literally

Nothing you run is replaced. Everything it knows is kept.

Honoring the past

Your systems stay exactly as they areno write method exists to disable
The dated record is the evidencesource, timestamp, reference, retained
Disagreement is preserved, never overwrittenboth values kept, neither silently chosen
Your evidence outlives usexported packs verify offline, forever

Embracing the future

Governed intelligence, not a confident guessmodel output ranks below arithmetic
A decision with a name on itauthority, alternatives, timestamp, recorded
Outcomes measured against expectationthe gap recorded, not absorbed
Every claim you can check without usthe harness ships unauthenticated

The operating loop. Every EOS surface sits on one of these nine steps; the two in cyan are the ones EOS exists for.

How it works together

Nine steps. The order is the product.

Connect

Normalize

Reconcile

Agree

Understand

Decide

Act

Measure

Learn

Most systems stop at three and call the result a dashboard. The value is in the six that follow, because a disagreement nobody decided about is a better‑looking version of the same problem.

Do not trust us

Every number here can prove itself.

Verification is not the product; the found dollars will be. These numbers exist so that when the first measured figure lands on the record, it arrives pre-trusted.

14,914assertions, 0 failed
independently reproduced

146suites, run cold
offline, no account

17connectors
8 conformed, 9 declared

V3Verify Standard
all five requirements

Download the harness and run it → Open a proof object → Every figure, and whether you can rerun it → The eleven hard cases →

Every figure above comes from the shipped artifact, independently executed. Live-tenant results begin with the first pilot, measured under a standard published in advance.

The public record

Seven stages from built to funded. Three complete. Four empty, on purpose.

Built, verified, and the problem named: done, and linked. The customer, the finding, the measured impact, and the round: empty stages published in advance, with the standard for filling each one committed ahead of the first entry. Watch the page; when a stage fills, the definitions were already here.

BuiltVerifiedProblemCustomerFindingImpactRound

Open the public record → Read the pilot charter →

The layer underneath your agents

Agents are only as trustworthy as the state you hand them.

Model intelligence is becoming a commodity; trusted enterprise context is not. EOS serves your AI one canonical, provenance-carrying version of enterprise reality: SAP, Oracle, NetSuite, Coupa, Workday, PLM, WMS and TMS read as one state, every figure labeled observed, derived, inferred or scenario, every recommendation waiting on a named human, and execution returned to the systems of record. Read-only underneath, provider-neutral above.

The trust layer for enterprise AI, in full →

Who this is for

The CFO signs. Internal Audit champions. The CISO stops asking.

Multi‑ERP enterprises, and private equity owners holding a portfolio of them. Portfolio monitoring tells you what the company reported. EOS tells you whether it is true. →

Name the systems with the most to reconcile

Your systems can all be correct, and still disagree.