The Autonomous FinCrime Department
Strise is the AI platform European fincrime teams run on. Founded in Oslo in 2019, we’ve spent six years building the platform, regulatory architecture, and compliance memory that AI needs to work in European finance. Today, tier-1 Nordic banks, leading European payments companies, and Big 4 advisory firms run their compliance on Strise.
The Thesis
Layering AI on top of today’s compliance stack doesn’t make it autonomous — it makes it fragile. Autonomous compliance needs three things that the stack has never had in one place:
- One canonical entity every agent, module, and analyst reads from.
- Encoded regulation that turns your risk policy into the guardrails agents operate within.
- Compliance memory so every decision your team makes — or your agents make — compounds into the next case.
These three layers are Strise’s foundation. Everything else — SaaS modules, API, MCP, agents — consumes the same foundation.
The Foundation
| Layer | What it is |
|---|---|
| SuperData | Data and entity resolution. Proprietary data in the UK and Nordics. Live registry integration across Europe. Automated data collection where registries go dark. One canonical entity every consumer reads from. |
| RiskLense | Risk and regulatory context. AMLR, AMLA, 6AMLD, DORA, and jurisdictional logic encoded into the platform. Your internal risk policy layers on top. The architecture every agent, module, and analyst answers to. |
| Compliance Memory | Every agent action, every human decision, logged with reasoning, data version, and applied policy. The institutional memory every agent, module, and analyst builds on. |
Three Ways to Consume
One foundation. Three ways your team can plug in — pick any one, or all three, on the same rails.
| Path | What you get | Best for |
|---|---|---|
| SaaS modules | Strise application with proven automated workflows and AI assistant | Compliance teams who want the product out of the box |
| API and MCP | Build your own agents and workflows on top of Strise | Compliance and engineering teams building custom tooling |
| Agentic workforce | Strise agents, out of the box, running autonomously with humans in the loop | Compliance teams who want AI analysts on demand, not a build project |
SaaS Modules
Eight modules covering the full compliance lifecycle. All built on the same foundation so data and decisions flow between them.
| Module | What it does |
|---|---|
| KYB Onboarding | Every case arrives with company data, ownership, screening, and risk scoring already done. See KYB Module. |
| UBO Discovery | Full ownership structure mapped across jurisdictions, all the way to the top of the chain. |
| Screening & Alert Triage | PEP, sanctions, and adverse media screening with false-positive filtering before alerts reach your team. |
| Ongoing Due Diligence | Triggered by change, not by the calendar. See Monitoring Module. |
| KYC Onboarding | Individual onboarding with the same case-file approach as KYB. See KYC Module. |
| ID Verification | Document analysis and biometric verification embedded in the same workflow. See IDV Module. |
| Remediation | When data is missing, Strise asks the customer through a clean portal, one question at a time, with legal basis attached. |
| Risk Engine | Your risk policy turned into a living scoring engine. Routine cases clear automatically; edge cases route to the right analyst. See Calculated Risk. |
API and MCP
Strise as infrastructure. Build agents, workflows, or your own UI on top of the same data, regulation, and memory layers the application uses.
- REST API and MCP server, read and write access to the platform.
- Policy-as-code guardrails that agents respect at inference time.
- Full audit log — every tool call traceable back to a regulation.
- Webhook hand-offs from Strise agents to yours.
See API/Data Module and the API documentation.
Agentic Workforce
Strise agents, out of the box, running in your MLRO’s existing workspace. Agents handle onboarding, remediation, data collection, alert dispositioning, EDD, due diligence, and risk — always with humans in the loop. See AI Features.
Outcomes Customers See
| Customer | Outcome |
|---|---|
| Leading payments company | 11.5M entities screened; 80% of routine cases automated |
| Big four firm | 50% less analyst time on complex cases |
| Top 5 advisory firm | €530k saved year one, 69% fewer analyst hours |
You’re not doing less review. You’re routing the routine so the risk gets the attention.
Trust and Compliance
- SOC 2 Type II certified
- ISO 27001 certified
- GDPR compliant, EU-only data storage on Google Cloud (Belgium)
- Visit trust.strise.ai for certifications and audit reports
Where to Start
- Compliance team: start with SaaS modules.
- Engineering team: start with API and MCP.
- MLRO considering agents: start with the agentic workforce.
- Just getting oriented: read SuperData, RiskLense, and Compliance Memory in that order.