Redefining Smart Contract Security

Our breakthrough methodology combines automated analysis with human expertise to identify vulnerabilities that traditional auditing approaches miss.

Pioneering Since 2019

Multi-Layered Analysis Framework

We developed our proprietary three-stage auditing process after analyzing over 2,000 smart contracts and identifying common failure patterns that existing tools overlook. Our approach examines code logic, economic incentives, and real-world attack vectors simultaneously.

This comprehensive framework has helped prevent potential losses exceeding million across DeFi protocols in Bangladesh and Southeast Asia. We don't just check for known vulnerabilities – we anticipate how malicious actors might exploit unforeseen combinations of contract interactions.

Advanced Code Analysis in Action
2019-2020
Founded our research lab in Kushtia, focusing on Ethereum smart contract vulnerabilities. Developed initial automated scanning tools.
2021-2022
Expanded to multi-chain analysis including Binance Smart Chain and Polygon. Created our signature economic attack simulation engine.
2023-2024
Launched real-time monitoring systems and established partnerships with major DeFi protocols across South Asia.
2025
Introducing AI-assisted threat modeling and expanding our educational programs for blockchain developers in Bangladesh.
2,847 Smart Contracts Analyzed

What Sets Us Apart

Six years of focused research have led to breakthrough innovations in blockchain security analysis

Economic Attack Simulation

We model real-world economic incentives to predict how attackers might manipulate contract behavior for profit, going beyond traditional code review.

Cross-Chain Vulnerability Detection

Our tools identify risks that emerge when contracts interact across different blockchain networks – a growing concern in today's multi-chain ecosystem.

Real-Time Threat Monitoring

Continuous surveillance of deployed contracts helps catch emerging threats and zero-day exploits before they cause significant damage.

Raihan Chowdhury

Lead Security Researcher

"Traditional auditing approaches often miss the forest for the trees. We've learned that the most dangerous vulnerabilities usually emerge from complex interactions between multiple contracts, not isolated coding errors. That's why we built our analysis framework to think like an attacker."