Consilient

About Consilient

Consilient provides financial crime prevention technology that employs algorithms for real-time transaction monitoring and risk assessment in anti-money laundering. The platform enables financial institutions to identify suspicious activities and maintain compliance with regulatory standards, thereby minimizing the risk of financial crime.

```xml <problem> Traditional anti-money laundering (AML) systems struggle to adapt to evolving financial crime tactics, resulting in inefficiencies and a high number of false positive alerts. Financial institutions face challenges in pinpointing new and potential risks due to limitations in sharing suspicious behavioral patterns. This can lead to increased operational costs and potential regulatory compliance issues. </problem> <solution> Consilient offers a federated machine learning technology designed to enhance AML and counter-terrorist financing (CFT) efforts. The platform enables financial institutions to improve the efficiency and effectiveness of their AML controls by sharing suspicious behavioral patterns without direct data sharing. Consilient's approach reduces false positive alerts and improves the identification of high-risk customers, proactively pinpointing new and potential risks. The system overlays existing legacy systems, allowing for modern AML models without requiring a complete overhaul. </solution> <features> - Federated learning technology that shares suspicious behavioral patterns without moving data - Core AML/CFT model to enhance transaction monitoring and customer due diligence - Correspondent Banking model for enhanced risk management - High-Risk Typology models to uncover hidden high-risk typologies - High-Risk Jurisdictions model for identifying high-risk transactions - KYC/AML Risk Rating model - Reduces false positive alerts by up to 75% - Improves identification of high-risk customers by up to 300% </features> <target_audience> Consilient primarily serves financial institutions seeking to improve their AML/CFT risk management, including banks, credit unions, and other financial service providers. </target_audience> ```

What does Consilient do?

Consilient provides financial crime prevention technology that employs algorithms for real-time transaction monitoring and risk assessment in anti-money laundering. The platform enables financial institutions to identify suspicious activities and maintain compliance with regulatory standards, thereby minimizing the risk of financial crime.

Where is Consilient located?

Consilient is based in Washington, United States.

When was Consilient founded?

Consilient was founded in 2020.

How much funding has Consilient raised?

Consilient has raised 3000000.

Location
Washington, United States
Founded
2020
Funding
3000000
Employees
10 employees

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Consilient

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Executive Summary

Consilient provides financial crime prevention technology that employs algorithms for real-time transaction monitoring and risk assessment in anti-money laundering. The platform enables financial institutions to identify suspicious activities and maintain compliance with regulatory standards, thereby minimizing the risk of financial crime.

consilient.com700+
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Crunchbase
Founded 2020Washington, United States

Funding

$

Estimated Funding

$3M+

Team (10+)

No team information available.

Company Description

Problem

Traditional anti-money laundering (AML) systems struggle to adapt to evolving financial crime tactics, resulting in inefficiencies and a high number of false positive alerts. Financial institutions face challenges in pinpointing new and potential risks due to limitations in sharing suspicious behavioral patterns. This can lead to increased operational costs and potential regulatory compliance issues.

Solution

Consilient offers a federated machine learning technology designed to enhance AML and counter-terrorist financing (CFT) efforts. The platform enables financial institutions to improve the efficiency and effectiveness of their AML controls by sharing suspicious behavioral patterns without direct data sharing. Consilient's approach reduces false positive alerts and improves the identification of high-risk customers, proactively pinpointing new and potential risks. The system overlays existing legacy systems, allowing for modern AML models without requiring a complete overhaul.

Features

Federated learning technology that shares suspicious behavioral patterns without moving data

Core AML/CFT model to enhance transaction monitoring and customer due diligence

Correspondent Banking model for enhanced risk management

High-Risk Typology models to uncover hidden high-risk typologies

High-Risk Jurisdictions model for identifying high-risk transactions

KYC/AML Risk Rating model

Reduces false positive alerts by up to 75%

Improves identification of high-risk customers by up to 300%

Target Audience

Consilient primarily serves financial institutions seeking to improve their AML/CFT risk management, including banks, credit unions, and other financial service providers.

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