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What is complead?

complead is an AI-native financial crime compliance and fraud prevention platform that helps organizations manage customer risk, detect suspicious activity, and automate compliance operations. Its Fusion engine combines customer onboarding, identity verification, screening, monitoring, fraud detection, and investigations within a single risk management environment. Rather than maintaining separate risk records across different compliance tools, the platform uses a unified customer record, shared rules, and explainable risk scores to support consistent decision-making. Client screening and ongoing monitoring check individuals and organizations against more than 3,000 sanctions lists, politically exposed persons databases, and regulatory watchlists. Customer Risk Rating and KYC tools evaluate customer risk using information such as profession, income, and geographic location to support due diligence and ongoing assessments. KYB verification helps organizations validate businesses, identify beneficial ownership, and evaluate potential risks before establishing commercial relationships. Adverse media screening monitors negative news and reputational information that may indicate financial crime, regulatory, or business risks. Transaction monitoring analyzes financial activity continuously, while real-time fraud prevention uses AI-native rules and alerts to identify potentially suspicious transactions and behavior. The platform includes compliance dashboards, case management, investigation workflows, and agentic AI capabilities for risk operations, fraud investigations, and regulatory SAR or STR reporting. Its cross-border compliance capabilities support more than 220 jurisdictions, with workflows designed to accommodate regulatory requirements associated with authorities such as FinCEN, the FCA, and MAS.

What is Quantexa?

Leveraging graph analytics during the entirety of the customer journey can reveal concealed risks and highlight unforeseen opportunities. Traditional Master Data Management (MDM) systems often find it difficult to handle the extensive and varied data produced by numerous applications and external entities. The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and insufficient context, ultimately impairing decision-making and leaving business potential untapped. An ineffective MDM framework can lead to far-reaching consequences, detrimentally affecting both customer interactions and operational productivity. Without prompt access to thorough insights regarding payment behaviors, emerging trends, and potential risks, your team's capacity to make quick, informed choices is hindered, leading to increased compliance costs and challenges in broadening your reach. When data is not integrated efficiently, it fosters disjointed customer experiences across various channels, sectors, and regions. Efforts aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management. This absence of a comprehensive data strategy not only diminishes customer satisfaction but also constrains avenues for business expansion and innovation. Ultimately, a robust MDM system is essential for fostering a seamless customer experience and driving sustainable growth in today’s competitive landscape.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Custom pricing based on the selected modules and screening or transaction volume. Contact complead for a tailored quote. A free trial is available.
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

complead

Date Founded

2020

Company Website

complead.ai/

Company Facts

Organization Name

Quantexa

Date Founded

2016

Company Location

United Kingdom

Company Website

www.quantexa.com

Categories and Features

AML

Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Investigator Notes
Pattern Recognition

KYC

Not specified

Categories and Features

AML

Not specified

Fraud Detection

Not specified

RegTech

Not specified

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