Infrastructure for audit-ready AML decisions, human or AI

When registries disagree, documents conflict, and ownership doesn’t line up, automation breaks. Strise Super Data resolves fragmented AML data into living entity profiles that both analysts and AI can reason over.

68% of AML fines
cite data weaknesses
From outdated customer records and unresolved ownership to mismatches between declarations and public sources.
(Source: FCA / Kyckr)
One resolved layer
not dozens of data feeds
Super Data de-duplicates registries, documents, and third-party data into a single governed layer, exposed through one API.
Super Data
improves with every action
Every document, signal, and analyst decision feeds back into the living customer record, making future reviews faster, cleaner, and more automated.

A single source of truth for analysts and AI

Strise Super Data is the foundation behind every AML workflow, decision, and automation. It resolves fragmented records into one governed customer profile that both analysts and AI reason over.

Instead of analysts reconciling spreadsheets, PDFs, and registry lookups across systems, Super Data resolves everything into a single profile.

AI highlights discrepancies across sources. Analysts review, merge, and correct data directly in the profile. Once resolved, that truth persists across onboarding, monitoring, investigations, and APIs. Automation runs on verified data, not assumptions.

One governed data layer, not dozens of feeds

Strise Super Data removes the burden of sourcing, integrating, and maintaining dozens of registry and data feeds.

Region-specific registries, collected client inputs, and internal signals resolve into a single, de-duplicated data layer. New data sources and regulatory requirements link automatically to existing customer records.

Historical decisions remain explainable. New data strengthens the same living profiles instead of creating new silos or conflicting versions.

Each analyst decision leaves the data smarter

Strise Super Data uses AI and entity resolution to link, enrich, and de-duplicate data across registries, documents, client submissions, and third-party sources into one coherent view.

Analysts stop comparing sources and chasing inconsistencies. They review resolved profiles, make decisions, and move on.

Every analyst correction, merge, and decision improves the quality of the data and increases the accuracy of future automation and AI decisions.

Hello, AML automation

AML backlogs persist because data is fragmented, duplicated, and hard to trust. Strise uses AI to resolve and enrich AML data into a single, living customer record that stays consistent across onboarding, monitoring, and investigations. With trusted, resolved data as the foundation, automation scales. Analysts focus on risk, not reconciliation. Compliance becomes faster, explainable, and ready for change.

Mike Connors
Chief Sales Officer
sales@strise.ai