Depowise
Platform · Data Management

One source of truth for depositary data.

Depowise centralises data from fund administrators, custodians, transfer agents, banks, and market data providers into a single, validated data layer. Every depositary duty on the platform operates on the same foundation.

External data sources

Fund admin
Custodians
Transfer agents
Banks
Market data
Delegates

ETL · staging tier

  • Source authentication
  • Technical checks
  • Business rules
Common Data Model

One validated data layer

Funds · Counterparties · Instruments · Cash · Positions

Production tier

  • Cash Flow Monitoring
  • Safekeeping
  • Oversight
Data Warehouse
Integration Platform
Journey

From raw source data to depositary action, in five pipeline stages.

Every inbound record enters the ETL layer (extract, transform, load) before reaching any operational module. Data is staged, validated against technical and business rules, and promoted to the production tier only when quality-controlled. Every step is logged and auditable.

  1. 01

    Extract

    Pulled from custodians, fund admins, transfer agents, and banks via SWIFT, files, APIs, or manual upload.

    MT940_acct.xml
  2. 02

    Transform

    Each source format is mapped into the Common Data Model so every record follows the same structure.

    → Common Data Model
  3. 03

    Validate

    Three sequential checks: source authentication, technical validation, and business validation.

    3 / 3 checks passed
  4. 04

    Enrich

    Records are enriched with market pricing, independent FX rates, and security master attributes.

    + FX · prices · ref data
  5. 05

    Load

    Promoted to the production tier: one shared layer consumed by every duty and report.

    Live in production
Connect

Connect to the systems your operations depend on.

Depowise supports automated file-based and API-based integrations with the counterparties depositary teams work with daily. Native SWIFT support, custom data mapping during onboarding, and manual upload options ensure no data source is left out.

  • Native SWIFT support: MT300, MT320, MT535, MT940, MT942, and more.
  • Automated feeds from custodians, fund admins, transfer agents, and banks via file or API.
  • AI-powered extraction from prospectuses, fund documents, and third-party reports, with human-in-the-loop validation.

Integration channels

SWIFT

MT300, MT320, MT535, MT940, MT942

REST APIs

Real-time, schema-aware

SFTP feeds

Scheduled file delivery

Manual upload

With validation on the fly

AI-assisted document extraction

Prospectuses, fund documents, and third-party reports, with human-in-the-loop review.

Ingest

Many data sources, one consistent view.

Depositary operations depend on data from multiple external parties, each with their own formats, timelines, and quality standards. Depowise ingests data from all of them and brings it into a common structure before it reaches any module on the platform.

  • Fund administrator data: NAV packs, holdings, fee calculations, share class registers.
  • Custodian data: holdings, cash positions, FX forwards, derivatives, settlement data.
  • Bank transactions: cash balances, trades, deposit positions.
  • Transfer agent data: unit registers, dealing activity, subscription and redemption flows.
  • Market data: independent pricing and FX rates from configured providers.
  • Delegate data: data from delegates and sub-custodians where applicable.

Sources ingested

  • Fund admin

    NAV, holdings, fees

    Connected
  • Custodian

    Positions, cash, FX

    Connected
  • Bank

    Cash, trades

    Connected
  • Transfer agent

    Subs, reds, units

    Connected
  • Market data

    Prices, FX rates

    Connected
  • Delegates

    Sub-custodian feeds

    Connected
Validate

Raw data in, validated, structured data out.

The ETL layer transforms incoming data from every source into a Common Data Model. Only data that passes all three validation steps reaches the production tier used by Cash Flow Monitoring, Safekeeping, and Oversight.

  • Initial validation: verifying the data comes from a known, authorised counterparty.
  • Technical validation: format, structure, checksums, and agreed data formatting.
  • Business validation: security master cross-checks, duplicates, completeness, and business rules.

Three-step validation

  1. 01

    Source authentication

    Known and authorised counterparty

  2. 02

    Technical checks

    Format, structure, checksums

  3. 03

    Business validation

    Cross-checks, duplicates, completeness

Promoted to production14,302 records
Trace

Every record traceable to its source.

The staging tier maintains a complete log of every data exchange between external sources and Depowise. For any record on the platform, you can trace it back to what was received, when, from which counterparty, and how it was transformed.

  • Full log of every file and data exchange in the staging tier.
  • Source-to-production traceability for any data point used in Cash Flow Monitoring, Safekeeping, or Oversight.
  • Document management with configurable document types, mandatory tracking, validity dates, and deadline-based traffic lights.

Staging tier audit log

  • 14:02:18

    Custodian Alpha

    positions_2026-05-12.xml

    Promoted
  • 14:01:46

    Bank Beta

    MT940_acct_LU98...

    Promoted
  • 13:58:09

    Fund Admin Co.

    nav_pack_apr.csv

    Quarantined
  • 13:55:32

    Transfer Agent A

    subs_reds.json

    Promoted
Extend

A data dictionary built for depositary operations and shaped by yours.

Depowise ships with a structured out-of-the-box data model. Master users can extend it directly in the UI, adding fields and classifications that feed into controls, workflows, and the control schedule.

  • Add custom fields and dynamic classifications to funds, asset servicers, cash accounts, and persons, no development required.
  • Use those data points as filter criteria in the control schedule to trigger risk-based workflows automatically.
  • Self-service configuration via the settings UI, with import and export support and full audit continuity.

Fund data dictionary

Master view

Standard fields

Fund nameISINAUMCurrencyTypeJurisdiction

Custom fields

Risk tierSFDR articleESG strategyLiquidity bucket+ Add field

Used in Control Schedule

Filter: Risk tier = High · 8 funds · Daily checks

Compare

Fragmented data vs Depowise.

See what changes when depositary data is centralised and validated.

Legacy approach

Disconnected, manual, prone to error

  • Data across clientsFragmented
  • Real-time monitoringNo
  • Transaction alertsDays
  • Compliance reportingManual
  • ScalesOnly with headcount
  • Institution coverageSingle-institution setups
  • CustomisationExpensive to customise
  • ReconciliationConstant between sources
Depowise

Connected, validated, built for precision

  • Data across clientsComplete
  • Real-time monitoringYes
  • Transaction alertsMinutes
  • Compliance reportingAutomated
  • ScalesWith volume, not headcount
  • Institution coverageMulti-institution ready
  • CustomisationConfigurable without coding
  • ReconciliationSingle validated data layer

See your depositary operations on Depowise.

Request a personalised walkthrough of the platform.