Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
evoML enhances the efficiency of developing high-quality machine learning models by simplifying and automating the comprehensive data science process, enabling the conversion of raw data into meaningful insights in mere days rather than several weeks. It takes charge of vital tasks such as automatic data transformation that identifies anomalies and rectifies imbalances, employs genetic algorithms for feature engineering, conducts parallel evaluations of multiple model candidates, optimizes using multi-objective criteria based on custom metrics, and utilizes GenAI technology for generating synthetic data, which is especially useful for swift prototyping while adhering to data privacy regulations. Users maintain complete ownership of and can modify the generated model code, facilitating smooth deployment as APIs, databases, or local libraries, thereby preventing vendor lock-in and promoting clear, auditable workflows. Additionally, evoML equips teams with user-friendly visualizations, interactive dashboards, and detailed charts to detect patterns, outliers, and anomalies across various applications, including anomaly detection, time-series forecasting, and fraud prevention. With its robust features, evoML not only accelerates the modeling process but also empowers users to make data-driven decisions with confidence.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ACH Payments
No
Zelle
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
MouseCat
Founded
2026
Country
United States
Website
www.mousecat.ai/
Vendor Details
Company Name
TurinTech AI
Founded
2018
Country
United Kingdom
Website
www.turintech.ai/evoml
Product Features
AML
Behavioral Analytics
No
Case Management
No
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
No
SARs
No
Transaction Monitoring
No
Watch List
No
Financial Risk Management
Compliance Management
No
Credit Risk Management
No
For Hedge Funds
No
Liquidity Analysis
No
Loan Portfolio Management
No
Market Risk Management
No
Operational Risk Management
No
Portfolio Management
No
Portfolio Modeling
No
Risk Analytics Benchmarks
No
Stress Tests
No
Value At Risk Calculation
No
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No