Crypto forensics and compliance company AMLBot has officially launched its AI Tracer, a self-service blockchain analysis tool designed to let users with no specialist knowledge trace digital assets, even after they have been stolen. The tool maps visible fund movements from a transaction hash across blockchain networks, automating what traditionally required expensive software and deep technical expertise.
According to a press release shared with Cointelegraph, the AI Tracer is intended to address the growing need for accessible blockchain investigation tools. It can follow funds that move through cross-chain bridges, where assets are transferred from one blockchain to another, as well as transactions where funds are split among multiple wallets. This makes it particularly useful for tracing stolen cryptocurrency that has been laundered through complex routing.
How AI Tracer Works
The company explains that the process is fully automatic: the AI traverses the transaction graph, follows the movement of funds from the starting address through intermediate wallets toward whatever endpoint the money reached, and matches known entity labels — such as exchanges, services, and flagged addresses — against every wallet it encounters. This allows users to quickly see where funds originated, how they moved, and where they ultimately ended up.
AMLBot says the tool is designed to be user-friendly, with an interface that does not require prior experience in blockchain analysis. Users simply paste a transaction hash or wallet address, and the AI generates a visual map of fund flows. The system also flags interactions with entities that have been associated with criminal activity, helping investigators identify potential points of seizure or intervention.
One of the key advantages of AI Tracer is its ability to handle cross-chain transactions. In recent years, cybercriminals have increasingly used bridges to move stolen assets between blockchains, making it harder for law enforcement and victims to follow the money. By automatically tracing across supported networks, the tool removes a significant barrier in crypto investigations.
Supported Networks and Pricing
Currently, AI Tracer supports a wide range of blockchain networks, including Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano, and Ripple. This covers most major cryptocurrencies that are commonly involved in thefts and frauds, making the tool broadly applicable for users around the world.
The tool offers a free check for users who want to test its capabilities, as well as paid plans with higher limits on the number of automated checks. Pricing is structured to accommodate both casual users and professional investigators who may need to run multiple trace requests on a regular basis. By offering a freemium model, AMLBot hopes to democratize access to blockchain intelligence, which was previously available only to well-funded compliance teams and government agencies.
Limitations and Legal Considerations
Despite its capabilities, AI Tracer has clear limitations, as noted in the announcement. The tool cannot see transfers between internal exchange accounts, meaning that if funds are moved from one user's account to another within the same exchange platform, the AI will not be able to trace that step. It also cannot determine why a payment was made, freeze assets, or guarantee recovery of stolen funds. The reports generated by AI Tracer are intended as a starting point for investigations and do not replace an audit or legal process.
This is an important reminder for users who may expect a single tool to solve complex crypto crimes. Blockchain tracing provides intelligence, but action still requires cooperation from exchanges, law enforcement, and legal authorities. The company emphasizes that its reports should be used alongside official investigative procedures.
Who Can Benefit from AI Tracer
AMLBot says the tool is suitable for a diverse range of users, including journalists, researchers, traders, and crypto users who want to read transaction paths for their own purposes. It is also aimed at law enforcement agents investigating crypto-related crimes, as well as independent investigators and compliance teams working for businesses that handle digital assets.
For journalists, the tool can be used to uncover the flow of funds in high-profile hacks or fraud cases, adding a layer of factual data to reporting. Researchers studying blockchain behavior can analyze transaction patterns across multiple addresses and networks. Traders might use it to verify the legitimacy of counterparties before engaging in over-the-counter trades or large transactions. Law enforcement officers can quickly generate visual evidence for court cases, while compliance teams can conduct due diligence on wallet addresses that come through their platforms.
The Growing Importance of Blockchain Forensics
Blockchain forensics has become one of the most critical fields in the cryptocurrency industry. As digital assets gain mainstream adoption, the volume of criminal activity involving crypto also rises, including hacks, ransomware attacks, and scams. The ability to trace funds on a public ledger is often the only way to identify perpetrators and recover stolen assets. However, traditional tools for this purpose have been complex, expensive, and often require specialized education in cryptography and blockchain technology.
AMLBot's AI Tracer represents a shift toward automation and accessibility in this space. By leveraging artificial intelligence to interpret transaction graphs and match addresses against known entity databases, the tool reduces the time and skill required for basic tracing tasks. This aligns with a broader trend in blockchain intelligence, where machine learning models are increasingly used to detect suspicious activity, cluster addresses, and predict criminal behavior.
The use of AI also allows for scalability. Manual tracing of a single transaction can take hours or even days, especially when funds are moved through multiple addresses and chains. An automated system can produce similar results in seconds, enabling investigators to focus their attention on analysis and action rather than data collection.
AMLBot's Track Record in Crypto Compliance
AMLBot, short for Anti-Money Laundering Bot, is a known entity in the crypto compliance sector. The company has developed a suite of tools aimed at helping businesses comply with anti-money laundering regulations, including wallet screening, transaction monitoring, and risk scoring. In 2025, the company reported that social engineering drove 65% of the crypto cases it investigated, highlighting the growing role of human manipulation in cryptocurrency crime.
That statistic underscores the need for robust tracing tools. Social engineering attacks often involve convincing victims to send funds to attackers, and tracing those funds once they are sent is a critical step in response. AI Tracer can help victims and law enforcement quickly identify where the funds went and which exchanges or services received them, potentially leading to frozen accounts or legal action.
By adding AI Tracer to its portfolio, AMLBot is strengthening its position as a provider of end-to-end crypto investigation solutions. The company already offers manual investigation services, but this new tool allows users to conduct basic traces independently, with the option to escalate to professional support if needed.
Challenges and Future Outlook
Despite the promise of AI-powered tracing, there are challenges that the industry still faces. Privacy-focused cryptocurrencies and mixing services can obscure fund flows, making it difficult to trace transactions even with advanced tools. Moreover, the legal landscape for crypto is continuously evolving, and rules regarding data sharing and cross-border cooperation vary by jurisdiction. These factors may limit the effectiveness of any tracing tool in certain scenarios.
Nevertheless, the launch of AI Tracer is a positive development for those seeking greater transparency in the cryptocurrency space. It empowers individuals to take the first step in investigating suspicious transactions, without needing to engage a specialized firm or wait for law enforcement to act. As AI technology continues to improve, such tools are likely to become even more powerful, possibly incorporating predictive analytics and real-time alerts for flagged addresses.
For now, AI Tracer provides a practical solution for an immediate problem: helping people find out what happened to their digital assets. Whether used by a victim of a phishing scam, a journalist investigating a hack, or a compliance officer performing due diligence, the tool offers a self-service window into the blockchain's public record.
The support for multiple major networks ensures that a broad audience can use the service, and the free tier lets newcomers test the waters before committing to a paid plan. As more people become aware of the tool, it could become a standard starting point for blockchain investigations, complementing rather than replacing professional forensic services.
Source:Cointelegraph News