Future-proof compliance. AI-powered defense against financial crime.
Financial institutions today are struggling under the weight of excessive false positives, unsustainable scaling costs, and detection systems that are too slow to deploy and too late to act.
Our next-generation AML application is designed to address these core challenges by merging high-performance architecture with intelligent automation.
Using Avalanchio you define sophisticated rules using several techniques and define remediation actions when those rules find suspicious events. Below are some of the key features of the product:
Onboard data to Avalanchio directly from the source using Avalanchio Agent or from your existing SIEM (Security Information and Event Management) solution, and then apply the detection rules and remediation playbooks.
You can use Avalanchio SaaS applications on cloud platforms or run inside your data center.

Inundation with false alarms leads to alarm fatigue, diverting resources and causing operational burnout.

Unreliable or inconsistent detection of suspicious activity

Slow Time-to-Market: Long deployment cycles for model and rule changes (change requests) hinder agility and responsiveness.

The lack of a testing environment (workbench) prevents analysts from quickly testing new detection hypotheses and strategies.

Slow execution of transaction pattern detection logic delays insights and response times.

Unsustainable Costs and Downtime: The cycle of constantly adding more hardware to cope with volume increases costs and introduces system downtime.

Late detection of financial crime risks leads to regulatory exposure and customer dissatisfaction.

Systems struggle to scale effectively to handle the rapidly growing volume of transactions.
Agile Rule Creation
Set up simple to complex AML rules in minutes, enabling immediate responsiveness to emerging threats.
Versatile Detection
Leverage a rich library of diverse detection techniques and easily combine multiple techniques for high-precision, layered security.
Hypothesis Validation
Back-test new rules against historical time periods to quickly validate hypotheses and fine-tune effectiveness before deployment.
Reducing False Positives
By focusing on behavior rather than relying solely on signatures or rules, behavioral analytics can reduce the number of false positives generated by security systems, allowing security teams to prioritize real threats.
Customized Filtering
Effortlessly manage your own watch lists and whitelists for granular control, minimizing false positives and focusing analyst efforts.
Explainable Anomalies (XAI)
Access fully explainable anomalies providing clear context and rationale behind every alert to satisfy auditors and build analyst trust.
Effortlessly scale to process a billion transactions a day or more, future-proofing your operations against rapid data growth.
Built using high-performance languages (e.g., C++), the application extracts maximum efficiency from existing hardware, reducing the need for costly infrastructure upgrades.
Enjoy simple deployment and the flexibility to scale out capacity exactly when and where necessary.
Provides a real-time feed of confirmed anomalies directly to downstream applications, enabling immediate action and response.
Trigger callback actions to instantly notify and integrate with external tools (e.g., case management systems, regulatory reporting platforms).
Optimized architecture and high efficiency lead to a significantly low cost of maintenance and operations.

Interactive Network Exploration: Visually explore and manipulate interactive transaction network graphs to quickly identify key entities and relationships.

Time-Sliced Analysis: Slice the network based on a specific date range to analyze transactional behavior over discrete periods, pinpointing when suspicious activity occurred.

Advanced Pattern Detection: Automatically identify key network structures like high-density communities and suspicious transactional triangles.

Relationship Tracing: Instantly find and trace all transaction paths between any two parties, revealing the complete flow of funds.

Contextual Profiling: Gain deeper insights by profiling network activity based on sender and receiver characteristics (e.g., transaction history, geography, associated risk score).

Dynamic Network Intelligence: Incrementally build and update the transaction graph in real-time as new data arrives, providing analysts with an always-current, accurate view of financial networks.




Our solutions provide an exceptional out-of-the-box experience designed for rapid deployment and actionable insights.
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