Custodian reconciliation
Automatically surface and explain breaks between custodian and internal books across multi-asset portfolios, with a full audit trail of every match and anomaly.
Asset managers, capital markets platforms and lenders run on data that lives everywhere: custodians, fund administrators, trading systems, credit facilities and spreadsheets that never quite agree with each other. Reconciliation is manual, investor reporting is slow, and every new AI initiative stalls on the same question: can we trust what the model sees. DataReadyAI closes that gap.
The problems that stall AI in financial services all come back to data that is scattered and ungoverned. Here is how DataReadyAI addresses each one.
Automatically surface and explain breaks between custodian and internal books across multi-asset portfolios, with a full audit trail of every match and anomaly.
Track exposure, LVR and covenant data across secured lending and structured credit facilities, flagging drift before it becomes a breach.
Assemble accurate, source-traceable reporting packs for wholesale investors and co-investment vehicles in a fraction of the time.
Let your teams use AI on sensitive financial data with enterprise-grade access control, so compliance is a design feature, not an afterthought.
We are a Sydney-founded, cloud- and model-agnostic AI company built specifically for regulated data. Our platform sits alongside your existing systems rather than asking you to replace them, and our guiding principle is simple: the user, not the vendor, should hold the power in the agentic AI era.
Works across your existing data platforms, cloud and language models. No forced migration, and no lock-in to a single vendor.
Access control, lineage and audit on every AI interaction, so your risk and compliance functions stay firmly in control.
Working with organisations across regulated, data-intensive sectors, from financial services and insurance to healthcare, government and resources, where data sensitivity is greatest.
