Intelligent risk detection for AML, fraud, and screening - with a full rule engine, Agentic investigation, and machine learning in one stack.
AML, fraud, and screening - with Agents and ML on top.
Better Financial Crime outcomes
Products
Detection first - then Agents and machine learning that make your risk team faster.
Alert · High
Rapid movement of funds
Alert · Med
Screening hit - PEP
Alert · High
Fraud velocity spike
Rule engine
12 typologies firing · live monitoring
A full financial crime detection stack - transaction monitoring, fraud, and screening - with a complete rule engine for alerts so your team runs a normal AML / FC operation, not a bolt-on.
Orchestration
Connect all your systems into one platform - see all your data in one place. Talk to our AI assistant Spector to learn more about your data, and use Agents to complete tasks.
Orchestration
Everything in one place
Spector · KYC data
Services
Independent testing for existing AML, fraud, and screening controls - not limited to Cheqqa deployments.
Platform
One connected risk workflow. Use Cheqqa as your financial crime system - then add the layers that make teams faster.
Capability
Build and run flexible detection rules and alert workflows - the backbone of a normal AML / FC system.
Capability
Layer pattern and network models on top of rules so new typologies surface without rewriting every control.
Capability
Agents triage, investigate, and draft narratives so analysts start from evidence, not empty queues.
Capability
Map links between customers, devices, and transactions to spot coordinated activity early.
How teams use Cheqqa
Faster investigations
60%
Illustrative outcome · replace with customer proof
Agents assemble evidence and narratives so analysts decide instead of dig.
How it works
Detection first. Agents and ML accelerate investigation - humans stay in control.
Rules, screening, and fraud signals generate prioritised alerts across AML and financial crime.
Pattern and relationship models add context so coordinated risk is visible early.
Specialist Agents gather evidence, draft narratives, and explain why something looks risky.
Analysts approve, escalate, or override - autonomous where you allow it, governed by design.
Close the loop with audit trails, QA, and continuous retuning of rules and models.
Outcomes
Use Cheqqa for detection - then scale investigation with Agents and machine learning.
Agents assemble evidence and narratives so analysts spend time deciding, not hunting.
Rules plus ML and network context cut noise without giving up coverage.
Detection, Agents, and ML in one platform - less tool sprawl for financial crime ops.
Ready when you are
Detection for AML, fraud, and screening - plus Agents, machine learning, and benchmark testing for the systems you already run.