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Description
MouseCat is an innovative AI solution designed to combat financial crime by assisting risk management teams in identifying suspicious activities, streamlining investigations, and taking action before funds can be misappropriated. This platform gains insights into a business's operations by analyzing standard procedures, past data, case notes, policies, and input from human users, enabling it to detect irregularities in transactions, accounts, devices, and counterparties. When it encounters unusual activities, MouseCat utilizes the same data accessible to human investigators to build evidence trails, clarify its reasoning, and can either escalate cases for human evaluation or autonomously act on findings with high confidence. Its capabilities extend to preventing fraud and scams, effectively identifying first-party and third-party fraud, account takeovers, scams, synthetic identities, and various suspicious activities across payment methods such as cards, ACH, wires, Zelle, checks, and cryptocurrencies. Additionally, MouseCat is proficient at analyzing historical fraud and chargeback information, proposing new rules and model features, recognizing widespread fraud patterns, and revealing coordinated activities among users, ultimately enhancing the efficiency of financial crime prevention efforts. With its advanced features, MouseCat not only protects businesses but also significantly reduces the risk of financial loss.
Description
Who Called Me is an online reverse phone lookup tool based in the UK, aimed at assisting individuals in identifying unfamiliar or dubious callers. Users can simply input a phone number into the provided search field to gain immediate access to comprehensive details about the caller, which include reports submitted by other users, classifications of scams, and activity maps by region. This service accommodates a diverse array of phone types, such as mobile, landline, and VOIP, and organizes suspicious numbers into different scam categories, including energy scams, refund scams, life insurance scams, and HMRC scams. Each number profile offers user ratings, comments, and an overview of activity across various regions in the UK. The platform prioritizes delivering precise and current information regarding phone numbers, ensuring that users receive trustworthy data. Who Called Me is an indispensable tool for those wishing to confirm the authenticity of incoming calls and safeguard themselves against potential fraudulent schemes. Additionally, it empowers users to make informed decisions about whether to answer or ignore unknown calls, enhancing their overall peace of mind.
API Access
Has API
API Access
Has API
Integrations
ACH Payments
Zelle
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MouseCat
Founded
2026
Country
United States
Website
www.mousecat.ai/
Vendor Details
Company Name
WOTCHA
Country
United Kingdom
Website
who-called.co.uk
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval