About Rapidoly

We’re on a mission to protect crypto investors from scams and rug pulls through advanced AI-powered analysis. Our platform provides institutional-grade token security research and blockchain intelligence to help investors make informed decisions.

Our Mission

The cryptocurrency space is filled with innovation and opportunity, but it’s also plagued by scams, rug pulls, and malicious actors. Every day, innocent investors lose millions to fraudulent tokens and projects.

Rapidoly was created to level the playing field. We use cutting-edge artificial intelligence and machine learning to analyze token contracts, holder distributions, liquidity patterns, and hundreds of other data points to identify potential risks before they become losses.

Our goal is simple: make crypto investing safer for everyone by providing transparent, accurate, and real-time risk assessments that anyone can understand.

$24.2B+

Assets Analyzed

19+

Tokens Analyzed

15+

Data Sources

57+

Reports Generated

Our Values

Security First

We prioritize the safety of crypto investors above all else, providing transparent and accurate risk assessments.

Real-Time Analysis

Our AI systems work 24/7 to analyze new tokens as they launch, providing instant risk assessments.

Community Driven

We believe in empowering the crypto community with the tools and knowledge to make informed decisions.

Accuracy & Transparency

Our algorithms are continuously refined to provide the most accurate risk assessments with full transparency.

Our Technology

Rapidoly leverages advanced machine learning algorithms and real-time blockchain analysis to provide comprehensive risk assessments.

AI-Powered Monitoring

Our systems monitor blockchain networks 24/7, analyzing new tokens within minutes of deployment.

Advanced Model Training

Advanced machine learning models trained on thousands of known scams and legitimate projects.

Comprehensive Analysis

Comprehensive analysis including contract audits, liquidity checks, and holder distribution patterns.