AMLBot has launched AI Tracer, a self-service blockchain analysis tool designed to let users trace digital assets across multiple networks without requiring specialist training. The tool maps visible fund movements from a transaction hash and attempts to follow the money even when it crosses blockchains through bridges or becomes split among several wallets. According to the announcement, the process is automatic: the AI walks through the transaction graph, moves from the starting address through intermediate wallets to the final destination, and compares every wallet it meets against known entity labels such as exchanges, services and flagged addresses.

Key facts at a glance

• AMLBot, a crypto forensics and compliance company, has launched an AI-powered self-service tool called AI Tracer.
• The tool traces visible fund movements from a transaction hash across blockchain networks, including through bridges and multi-wallet splits.
• AI Tracer labels entities it encounters, such as exchanges and flagged addresses, but cannot see internal exchange transfers or guarantee asset recovery.
• Supported networks include Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano and Ripple.
• Users get a free basic check, with paid plans offering higher limits on automated checks.
• The tool is designed for journalists, researchers, traders, law enforcement and independent compliance teams.

What is AI Tracer?

AI Tracer is a new product from AMLBot, a company that provides know-your-customer and anti-money-laundering services for crypto businesses. The product is being marketed as a self-service investigation tool. Instead of manually clicking through block explorers and writing custom scripts, a user can enter a transaction hash and let the software map where the funds appear to have gone.

The launch comes at a time when crypto-related fraud, hacks and extortion payments are still a persistent problem. While the public nature of blockchains should make it possible to follow transactions, the reality is more complicated. Users often move money through multiple addresses, convert it into another asset, or send it through cross-chain bridges. Each of these steps can make a manual investigation slower and more error-prone.

AMLBot designed AI Tracer to automate that process. The tool generates a visual map of fund flow, showing the starting point, the intermediate wallets, and the endpoint that the AI was able to identify. It also matches addresses against known entity labels. This is similar to the 'tagging' systems used by professional blockchain intelligence platforms, where exchanges, mixers, gambling services and sanctioned wallets are marked so that investigators can understand who is likely involved in a transaction chain.

How does it work?

According to the company, the AI traverses the transaction graph automatically. It starts from the address associated with the provided transaction hash and follows the movement of funds from that address through intermediate wallets. The system attempts to determine the endpoint that the money reached, then checks every wallet it encounters against a built-in library of labels.

For example, if a user wants to see where stolen stablecoins ended up, AI Tracer can identify whether the funds were sent to a centralized exchange, a gambling platform, or a wallet that has already been flagged as suspicious. This can help victims understand whether the funds are being laundered through a known service or simply parked in an anonymous wallet.

The tool also claims to handle cross-chain bridge operations. When funds are moved from one blockchain to another, a bridge contract typically locks or burns the original asset and mints a wrapped version on the destination chain. Following that kind of flow manually can be difficult, because the user needs to switch between block explorers and understand each chain's token standards. The AI Tracer is designed to connect those dots automatically.

Another important feature is its ability to trace funds that are split among multiple wallets. This is a common evasion technique. Rather than sending a large amount to a single exchange address, a criminal may route the money through dozens of wallets to make it harder to track. The AI Tracer follows each branch of the split and identifies where the funds eventually converge or land.

What are the limitations?

The company is upfront about what the tool cannot do. AI Tracer cannot see transfers between internal exchange accounts. This means that if funds are deposited to an exchange and then moved to another user's account inside that exchange, there is no on-chain record of that transaction and the tool will not be able to follow it. It also cannot determine why a payment was made, because on-chain data does not always carry the context of a real-world agreement.

In addition, AI Tracer will not freeze assets or guarantee recovery. Tracing funds is only the first step in an investigation. Victims still need to contact law enforcement, provide evidence, or work with legal counsel to attempt to recover stolen money. The report produced by the tool is intended to be a starting point, not the final word.

AMLBot also stresses that the tool does not replace an audit or legal process. While its automated checks may save time and provide useful intelligence, any official action will require proper documentation and verification. Users should treat the generated report as evidence-gathering support, not as a substitute for professional investigation.

Which networks are supported and what does it cost?

AI Tracer is launching with support for a wide range of networks. The list includes major cryptocurrencies such as Bitcoin, Bitcoin Cash, Litecoin, Ethereum and Ripple, as well as smart-contract platforms like Solana, Cardano, TRON and BNB Chain. Ethereum Layer 2 networks such as Arbitrum, Base, Optimism and Polygon are also supported. This broad coverage is intended to reflect the way users actually move funds, especially in an ecosystem where cross-chain transfers have become routine.

The pricing model includes a free check, which lets new users test the tool without paying. Paid plans are available for users who need higher limits on the number of automated checks. This tiered approach makes the tool accessible to both occasional users and professional teams who need to process multiple investigations in a single day.

Who is the tool for?

AMLBot has identified several groups that could benefit from AI Tracer. Journalists and researchers can use it to understand where funds flow in high-profile hacks or scandalous transactions. Traders and everyday crypto users can investigate suspicious transfers before interacting with a counterparty. Law enforcement agents investigating crypto crime can use it as an initial screening layer, allowing them to prioritize cases and identify leads before seeking more advanced forensic support.

Independent investigators and compliance teams are another important audience. Small crypto businesses may not have the budget to hire a specialist firm for every transaction review. A self-service tool with entity labels and easy-to-read reports can give them a baseline level of visibility. This is especially relevant in jurisdictions where regulatory pressure is increasing and companies are expected to monitor on-chain risk more closely.

Why self-service tracing matters now

The launch reflects a broader trend in the crypto industry: the move toward user-friendly compliance and investigation tools. In the early days of Bitcoin, following transactions was a deeply technical exercise. Over time, the industry developed sophisticated analytics platforms, but many remained expensive and complex. Now, with the growth of AI, some of that complexity can be hidden behind an intuitive interface.

The need for such tools is also growing because of the continued scale of crypto-related crime. Scammers, ransomware groups and hackers have become more organized. They use bridge protocols, decentralized exchanges and privacy-enhancing techniques to obscure their tracks. A free or low-cost automated tracer can help democratize access to forensic data, allowing smaller victims and independent researchers to ask basic questions about their funds.

The company's own casework points to the importance of social engineering in crypto crime. Many victims are not hacked through technical vulnerabilities but are persuaded by impersonation, fake investment platforms, or fraudulent customer support schemes. These attacks often end with the victim sending funds to an address controlled by the criminal. Once that happens, rapid tracing can sometimes be the only way to find out where the

Source: Cointelegraph News