BitslabAI offers an AI-driven scanner for Web3 smart contracts that automatically discovers vulnerabilities, generates attack paths, and validates proofs of concept through fuzzing. The platform delivers reproducible findings with under 5% false positives, enabling developers to focus on confirmed risks and streamline remediation. It also provides expert manual audit services for critical blockchain infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Web3 developers often struggle to identify and confirm security vulnerabilities in smart contracts, leading to noisy alerts, high false‑positive rates, and delayed remediation of exploitable bugs.
Solution
BitslabAI offers an AI‑driven scanning platform that analyzes smart contract logic, generates potential attack paths, and automatically validates findings with reproducible proof‑of‑concept exploits. By integrating logic understanding, fuzzing‑based exploit simulation, and a low false‑positive rate (<5%), the service delivers developer‑ready evidence for confirmed risks. The platform also provides optional manual audits and formal verification for high‑value blockchain infrastructure, enabling teams to prioritize genuine threats and accelerate secure deployment.
Target Audience
Primary customers are Web3 development teams, blockchain startups, and security engineers who need fast, accurate triage of smart contract vulnerabilities before deployment.
Features
- AI model that parses contract code to understand business‑logic level risks and surface latent vulnerabilities
- Automated attack‑path generation combined with fuzzing to produce reproducible POC exploits
- Validation workflow that filters out noise, achieving less than 5% false positives
- Developer‑focused output including test inputs and remediation guidance
- Optional expert manual audits and formal verification for critical contracts
- Large curated datasets (20K+ expert‑curated records, 40K+ public entries) powering the detection engine