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Why WealthArc

Financial data you can act on.

WealthArc delivers clean, reconciled, and AI-ready investment data so people, applications, and AI can power real-time decision workflows and move from data to action without rebuilding the data layer first.

Why this matters now

The AI-ready data layer.

Models will change. Algorithms will change. Agent frameworks will change. But every AI system will always require clean, reconciled, validated financial data.

WealthArc is not building for a single AI model. We are building the financial data infrastructure for all of them. WISDOM is designed to be the standard that AI systems consume - regardless of model, framework, or vendor.

Infrastructure standards evolve
1970sSWIFT- Standard for payments
1980sTCP/IP- Standard for the internet
1990sFIX- Standard for trading
NowWISDOM- Designed to be the standard for AI models
The global data infrastructure problem

The greatest obstacle to AI is not the model. It is the data.

Global financial data is fragmented across data sources, systems, jurisdictions, asset classes, currencies, and formats.

When identifiers do not match, values are missing, transactions are duplicated, or context is incomplete, even the best model can produce unreliable outputs. WealthArc addresses the problem before data reaches the model.

See how we fix it →
Model input check
Risk detected
Problem
Fragmented data creates model risk
Answer
Standardized, validated, AI-ready data
The issue is solved before data reaches the model, so AI can work with trusted financial context instead of fragmented inputs.
Token Economics

Structured data. Lower AI costs.

Structured data reduces the interpretation work AI models need to perform. Cleaner inputs can lower processing costs, speed up responses, and improve reliability without relying on model-specific token calculations.

Raw
Unstructured inputs
PDFs, statements, and exports that require model interpretation
Clean
WISDOM objects
Structured, validated financial data with consistent context
Governance & Security

Governance and security built in from day one.

As AI adoption grows, governance, auditability, data sovereignty, and regulatory compliance become non-negotiable. WealthArc is built for it from day one - with ISO 27001 certification, strong security controls, and full FINMA alignment.

Every data object carries full audit trail and provenance. Every AI access request is verified against operator, jurisdiction, and compliance criteria. Data never leaves your approved perimeter without explicit authorization.

WealthArc combines enterprise-grade data security with controlled access for users, applications, and AI. Data is isolated by client and protected in transit and at rest.

ISO 27001Certified
FINMAAligned

Microsoft Azure infrastructure

Hosted on Microsoft Azure, with geographically separate fail-over infrastructure.

Client data isolation

Each client has a dedicated database, with sensitive information stored separately.

Encrypted and access-controlled

Encryption, secure API transport, multi-factor authentication, and restricted production access.

Resilient and auditable

Automatic backups, traceable access, and controls designed for regulated financial institutions.

You decide which AI connects to WealthArc.

Only approved models can access the permitted data scope, with every request governed and auditable.

Policy-based access
Client validation

Data quality clients can rely on.

Octogone
“Data quality is the key. WealthArc leaned in with us to keep custodian data feeds accurate.”
Ivan PeruffoCEO, Octogone Group
Winvest
“WealthArc gives us the confidence that our data is reliable, our workflows are efficient, and our compliance is rock solid.”
Stefan RammelmeyerCEO, Winvest Asset Management
Case study
Why high quality data matters
Four real examples showing how raw custodian-data errors are identified and corrected.
Reconciliation in practice

Custodians send raw data.
Raw data is not trusted data.

Every custodian delivers data in its own format - and raw feeds routinely arrive with problems that make them unsafe to trust as-is. Corporate actions are handled incorrectly, prices are missing or wrong, positions and transactions are duplicated, and transactions don't always reconcile against the positions they belong to. Before WISDOM, wealth managers spent hours every day untangling these issues before the data could be relied on.

1Why reconciliation matters

Four errors we catch that clean formatting can't.

Standardised, well-formatted data can still be wrong. These are real reconciliation cases - a duplicated row, a mis-dated transaction, a bad price, a botched corporate action - each shown before and after WealthArc Data Box.

Select a case to compare ↓

A 10-for-1 split, mishandled three different ways.

Netflix ran a 10-for-1 stock split effective 17 November 2025. Three custodians reported it - and all three got it wrong, each in a different way. Handled correctly, quantity multiplies by 10 and price divides by 10 on the effective date, so market value carries across the split cleanly - after which the position simply moves with the market like any other.

Before · three custodians, three different errors
Custodian A · NFLX
Split applied a day late
DateQtyPriceValue ($)
14 Nov301,112.2033,366.00
17 Nov301,112.2033,366.00
18 Nov300114.0934,227.00
19 Nov300110.0033,000.00
20 Nov300105.6731,701.00
21 Nov300104.3131,293.00
Custodian B · NFLX
Price split, quantity not - value 10× low
DateQtyPriceValue ($)
14 Nov301,112.2033,366.00
17 Nov30110.293,308.70
18 Nov300114.0934,227.00
19 Nov300110.0033,000.00
20 Nov300105.6731,701.00
21 Nov300104.3131,293.00
Custodian C · NFLX
Quantity split, price not - value 10× high
DateQtyPriceValue ($)
14 Nov301,112.2033,366.00
17 Nov3001,112.20333,660.00
18 Nov300114.0934,227.00
19 Nov300110.0033,000.00
20 Nov300105.6731,701.00
21 Nov300104.3131,293.00
After · WealthArc Data Box · same three custodians
Custodian A · NFLX
Split rebased on the effective date
DateQtyPriceValue ($)
14 Nov301,112.2033,366.00
17 Nov300110.2933,087.00
18 Nov300114.0934,227.00
19 Nov300110.0033,000.00
20 Nov300105.6731,701.00
21 Nov300104.3131,293.00
Custodian B · NFLX
Split rebased on the effective date
DateQtyPriceValue ($)
14 Nov301,112.2033,366.00
17 Nov300110.2933,087.00
18 Nov300114.0934,227.00
19 Nov300110.0033,000.00
20 Nov300105.6731,701.00
21 Nov300104.3131,293.00
Custodian C · NFLX
Split rebased on the effective date
DateQtyPriceValue ($)
14 Nov301,112.2033,366.00
17 Nov300110.2933,087.00
18 Nov300114.0934,227.00
19 Nov300110.0033,000.00
20 Nov300105.6731,701.00
21 Nov300104.3131,293.00

WealthArc Data Box detects the corporate action and rebases quantity and price together on the effective date. Every custodian's series now applies the split on 17 November - quantity to 300, price to 110.29 from a 1,112.20 pre-split close - so value carries across the split cleanly and then tracks the real market from there.

The same position, delivered twice.

A single feed booked the Roche position twice - identical statement date, portfolio, source, and values. Left untouched, the holding is counted twice and every total inflates.

Before · raw feed
Portfolio P-10428 · statement 30 Jun 2025
DateInstrumentQtyClose PriceValue (CHF)
30 JunRoche GS1,500258.40387,600.00
30 JunRoche GS1,500258.40387,600.00
30 JunNovartis2,10095.84201,264.00
After · reconciled
Portfolio P-10428 · statement 30 Jun 2025
DateInstrumentQtyClose PriceValue (CHF)
30 JunRoche GS1,500258.40387,600.00
30 JunNovartis2,10095.84201,264.00

When two rows share the same statement date, portfolio, source feed, and values, WealthArc Data Box keeps one and drops the exact copy - so the Roche holding is counted once, not twice. This is genuine deduplication: it happens within a feed, not across custodians (a position legitimately held at two banks is consolidated, never merged away).

Shares that exist before they arrived.

A Tesla position appears on the 30 June statement, but the transfer that booked it is dated 1 July - so on paper the shares exist a day before the transaction that created them. WealthArc Data Box matches the transaction to the position and corrects the date.

Before · raw feed
Position · statement date
Tesla Inc 500 sh 30 Jun 2025
Matching transaction
Asset Transfer (IN) Tesla Inc 500 sh Txn date 01 Jul 2025
After · reconciled
Position · statement date
Tesla Inc 500 sh 30 Jun 2025
Matching transaction
Asset Transfer (IN) Tesla Inc 500 sh Txn date 30 Jun 2025

The position and the transaction that created it now agree. Matched transaction dating keeps cash flows, performance, and audit trails internally consistent - the transfer lands on the same day the shares appear.

Missing prices, and one that's plainly wrong.

Over a single week, two days arrived with no price at all and one came through at roughly 20× the true level - the kind of spike that quietly wrecks a performance calculation. WealthArc Data Box flags the outlier, fills the gaps, and rebuilds a clean series.

Before · raw feed
AAPL · daily close (USD) · illustrative
DatePriceStatus
02 Jun312.77ok
03 Jun312.14ok
04 Junmissing
05 Jun6,146.80+1,900% outlier
08 Jun301.54ok
09 Junmissing
After · reconciled
AAPL · daily close (USD) · illustrative
DatePriceStatus
02 Jun312.77ok
03 Jun312.14ok
04 Jun311.23filled
05 Jun307.34corrected
08 Jun301.54ok
09 Jun290.55filled

Gaps are filled from market data and the 20× outlier is corrected against surrounding days, so the price series feeding valuations and performance is complete and sane. Figures shown are illustrative.

2What reconciliation delivers
Unified identifiers

One consistent instrument for every security, across all custodians.

Consistent classifications

Asset classes, regions, sectors, currencies, and transaction types on unified dictionaries.

Reconciled prices & units

Units and prices aligned to one basis, including % vs. nominal.

Clean, validated data

Duplicates, missing records, and incorrect performance, detected and corrected.

3What this means for you
Act on trusted data.

Receive clean, reconciled data in a consistent structure that people and AI can use immediately - to monitor portfolios, identify opportunities, and make decisions as data arrives.

Spot pricing issues early.

WealthArc Data Box compares security prices across custodians and flags unexpected differences automatically.

AI that actually works.

AI models are only as good as their inputs. WISDOM-structured data means your agents, reports, and insights are built on a foundation they can trust - with zero wasted tokens on interpretation.

Try WealthArc

Put trusted financial data to work.

See how clean, reconciled, and AI-ready investment data can power your applications, workflows, and decisions.

Try WealthArc →