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Specialized in Cryptocurrency & Blockchain Investigations
Our team specializes in navigating complex crypto disputes with discretion and expertise. We provide tailored solutions for digital asset recovery, fraud and scam investigations, and blockchain forensics.
Fraud & Scam
Investigation
Investigating Ponzi schemes, fraudulent ICOs, and deceptive investment platforms in the crypto space.
Digital Asset Recovery Solutions
Assisting individuals and businesses in recovering stolen or lost digital assets.
Cybercrime & Hacking Investigations
Investigating wallet breaches, phishing attacks, and other forms of crypto-related cybercrime.
Litigation Reports and Support
Providing expert reports and evidence analysis for legal proceedings involving cryptocurrency disputes.
Due Diligence & Background Checks
Conducting comprehensive investigations into crypto companies, founders, or potential partners to verify legitimacy.
Blockchain
Forensics
Tracing and analyzing cryptocurrency transactions to identify sources, destinations, and patterns of illicit activity.
Regulatory Compliance Support
Helping clients navigate legal and compliance issues related to cryptocurrency operations.
Smart Contract & Token Audits
Assessing smart contracts and tokens for vulnerabilities, fraudulent design, or malicious activity.
DID YOU KNOW?
"Cryptocurrency fraud losses exceed billions annually worldwide"
Crypto-related fraud continues to grow year-on-year, impacting individuals, businesses, and institutions across jurisdictions."
"Less than 20% of victims attempt professional asset tracing"
Most scam victims stop at exchanges or law enforcement, significantly reducing recovery and evidentiary success rates."
"Blockchain transactions are permanent — errors are irreversible"
Unlike traditional banking, crypto transactions cannot be reversed, making early forensic investigation critical."
"Professionally documented blockchain evidence increases legal usability by over 60%"
Courts, law firms, and regulators rely on structured forensic reports rather than raw transaction data."
