Intuition Machines - Machine Intelligence at Scale

Intuition Machines Machine Intelligence at Scale

Contact for Pricing

Home: https://imachines.com

Developer Tools

#Machine Learning
#Fraud Detection
#security platform
#Enterprise Solutions
#Privacy-preserving
#active learning

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What is Intuition Machines?

Intuition Machines (IM) is a leading provider of privacy-preserving AI platforms and research solutions, serving category leaders worldwide. The company specializes in developing sophisticated AI/ML products and services that are utilized by some of the world's largest online services, demonstrating their capability to operate at scale.

Through its flagship products, including the IM Perception Platform and hCaptcha Security Suite, the company delivers cutting-edge solutions in security ML, visual domain ML, and fraud prevention. Their technology maintains accuracy over time through novel semi-supervised evolutionary strategies, addressing the challenge of constantly changing real-world data.

Features

Privacy-Preserving Security: Advanced ML models with minimal false positives and no PII
Active Learning: Continuous adaptation to changing data patterns
Scaled Supervision: Novel semi-supervised evolutionary strategies
Risk Analysis: Scoped and blinded signals for ML model compliance
Enterprise Integration: Web, app, and server-side deployment options

Use Cases

Account Takeover Prevention
Credential Stuffing Detection
Purchase Fraud Prevention
Card Testing Protection
Chargeback Fraud Detection
SMS Tolling Fraud Prevention
Visual Recognition Systems
Enterprise Security Solutions

FAQs

How does Intuition Machines maintain accuracy over time?

The platform uses novel semi-supervised evolutionary strategies and active learning to continuously adapt to changing real-world data patterns.
What types of fraud can the platform detect?

The platform can detect various types of fraud including account takeovers, credential stuffing, purchase fraud, card testing, chargeback fraud, and SMS tolling fraud.
How does the platform handle privacy compliance?

The platform uses scoped and blinded signals that help ML models stay compliant with global privacy laws while maintaining effectiveness in detection and risk analysis.