Crypto forensics and compliance company AMLBot has introduced a new self-service tool designed to make blockchain investigations accessible to everyone, regardless of technical expertise. The tool, called AI Tracer, automatically maps the visible movement of digital assets from a single transaction hash across multiple blockchain networks. It is intended to address a long-standing barrier in the crypto industry: the need for specialized software and deep technical knowledge to trace funds on public ledgers.
The launch comes amid growing demand for blockchain analytics solutions, as both individuals and organizations seek to recover stolen funds or understand suspicious activity. AMLBot claims that AI Tracer simplifies the tracing process by using artificial intelligence to navigate the complex web of transactions that make up modern blockchain activity. The company says the tool is particularly useful for tracing assets that move through cross-chain bridges or are split among multiple wallets, scenarios that have historically puzzled amateur investigators.
The challenge of tracing crypto transactions
Blockchain technology is often described as a transparent ledger, but the reality is far more complex. While every transaction is recorded publicly, connecting those transactions to real-world identities or understanding the ultimate destination of funds requires sophisticated analysis. Specialized tools from firms like Chainalysis, Elliptic, and CipherTrace have dominated the market, but they are often priced for enterprises and require training to use effectively. For individual victims of theft, small businesses, or independent journalists, such tools have been largely out of reach.
Moreover, the rise of cross-chain bridges, decentralized exchanges, and privacy-enhancing technologies has made tracing even more difficult. When funds move from one blockchain to another, they may pass through a bridge that locks tokens on the source chain and mints equivalent tokens on the destination chain. Following the trail across these bridges requires a deep understanding of how each bridge operates. AMLBot's AI Tracer aims to automate this process, allowing a user to paste a transaction hash and receive a visual map of where the funds have gone.
How AI Tracer works
According to the company's announcement, the AI Tracer operates automatically. The AI traverses the transaction graph, starting from the initial address and following the movement of funds through intermediate wallets toward the final endpoint. At every step, it matches the wallets it encounters against known entity labels, including exchanges, services, and flagged addresses. This allows the tool to indicate, for example, that a portion of the stolen funds ended up at a specific cryptocurrency exchange or was sent to a mixer.
The process is designed to be intuitive. A user simply inputs a transaction hash or a wallet address, and the AI Tracer generates a visual representation of the fund flow. The tool can identify when assets are split among multiple wallets, a common technique used by criminals to obfuscate the trail. It can also trace assets that move across different blockchains through bridges, which has been a major pain point in the field of crypto forensics.
AMLBot emphasized that the tool does not require the user to have any prior knowledge of blockchain technology or coding. The self-service model is a departure from traditional forensic services, where a client typically has to hire a specialist to conduct an investigation. By making the technology available as a SaaS product, AMLBot hopes to empower a broader range of users to take the first steps in protecting their assets.
Limitations and transparency
While AI Tracer is a powerful tool, AMLBot has been clear about its limitations. The tool cannot see transfers between internal exchange accounts. For instance, if a user sends funds to an exchange address and the exchange then moves the funds to a cold wallet, the AI Tracer will not be able to see that internal movement. This is a fundamental limitation of all blockchain analytics tools, as internal exchange ledger movements are not recorded on-chain.
Additionally, AI Tracer is not able to determine why a payment was made, nor can it freeze assets or guarantee the successful recovery of stolen funds. The reports generated by the tool are intended as a starting point for investigations, not as a replacement for a full audit or legal process. This disclaimer is consistent with broader practices in the crypto forensics industry, where tracing tools are used to formulate leads that are then pursued through legal and law enforcement channels.
The company also stressed that the tool is not a regulatory compliance solution. While it can flag known addresses and help users identify suspicious activity, it does not perform sanctions screening or produce formal compliance reports. Instead, it is designed to be a first step in an investigative workflow.
Supported networks and pricing
AI Tracer supports a wide range of blockchain networks, reflecting the multi-chain nature of the modern crypto ecosystem. The initial list of supported networks includes Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano, and Ripple. This covers the most prominent public blockchains, though the company has not ruled out adding more networks in the future.
The tool offers a free check, allowing users to test its capabilities without any commitment. For more advanced use cases, paid plans are available with higher limits on the number of automated checks. This tiered pricing model is designed to cater to a diverse range of users, from occasional researchers to professional investigators who may need to process a high volume of transactions.
AMLBot said the tool will be particularly useful for journalists, researchers, traders, and everyday crypto users who want to understand transaction paths. It is also aimed at law enforcement agents investigating crypto crime, as well as independent investigators and compliance teams. By eliminating the initial barrier of specialized knowledge, AI Tracer could become a valuable resource for anyone involved in unraveling blockchain activity.
The rise of crypto crime and the need for accessible tracing
The launch of AI Tracer comes at a time when cryptocurrency-related crime continues to evolve. In a related statement, AMLBot noted that social engineering drove 65% of the crypto cases it probed in 2025. This highlights a concerning trend: while technological vulnerabilities exist, a significant portion of crypto thefts originate from human manipulation, such as phishing, impersonation, and romance scams. Victims of these schemes often lose their digital assets to criminals who move funds quickly across exchanges and mixers to avoid detection.
The ability to trace stolen assets is critical for law enforcement and for victims seeking to file reports or pursue legal action. However, the complexity of blockchain transactions often leaves victims without any recourse, particularly if they lack the technical skills to follow the money trail. AMLBot's AI Tracer aims to bridge this gap by providing an accessible, automated solution that can give users a clearer picture of where their funds have gone.
Blockchain intelligence has become a growing sector within the crypto industry, with companies offering a range of services from transaction monitoring to wallet risk scoring. The introduction of self-service tools represents a democratization of this field, moving away from the traditional consultancy model toward a more direct-to-user approach. This shift may be welcomed by individuals who have limited budgets but still require reliable tracing capabilities.
The company's decision to support multiple networks is also an acknowledgment that criminals frequently use cross-chain hopping to obscure their tracks. By enabling tracing across 14 networks, AI Tracer provides a more comprehensive view than tools that are limited to a single blockchain. This is particularly important for tracing funds that move from Bitcoin to Monero or using other privacy protocols, though AI Tracer may not be able to penetrate all privacy layers.
How AI Tracer fits into the broader forensic ecosystem
While AI Tracer is a significant innovation, it is not the first attempt to create self-service blockchain analytics tools. Several other platforms have emerged in recent years, offering graph-based visualization and address labeling. However, AMLBot differentiates itself by emphasizing AI-driven automation and cross-chain capabilities. The company positions AI Tracer as a complement to existing audit and legal processes, rather than a replacement.
The tool's limitations, such as its inability to see internal exchange transfers or freeze assets, are inherent to the public nature of blockchain. No on-chain tool can provide a complete picture of all off-chain activity. Nevertheless, the value of AI Tracer lies in its ability to structure and simplify the vast amount of on-chain data that is available to anyone. By automating the tedious process of mapping out transaction paths, it allows investigators to focus on higher-level analysis and decision-making.
For law enforcement agencies, tools like AI Tracer can serve as a preliminary screening mechanism. Detectives can quickly check whether a transaction hash leads to a known exchange or a sanctioned address, helping them prioritize cases and allocate resources more efficiently. Similarly, compliance teams at financial institutions can use such tools to conduct initial due diligence before escalating matters to full-scale investigations.
Looking ahead
AMLBot's launch of AI Tracer marks another step in the maturation of the crypto industry. As digital assets become more mainstream, the demand for accessible investigative tools will likely continue to grow. The company's focus on self-service access and multi-chain support suggests a recognition that the future of blockchain intelligence lies in giving power to the individual rather than keeping it confined to specialized firms.
The tool is not perfect, and AMLBot has been transparent about what it can and cannot do. But for journalists attempting to trace funds in a story, researchers studying flows on a particular blockchain, or victims trying to understand how their assets were moved, AI Tracer offers an entry point that was previously unavailable. It is a reminder that blockchain technology, for all its complexity, can also provide a paper trail that, with the right tools, is easier to follow than many traditional financial systems.
As the cryptographic landscape continues to evolve, tools like AI Tracer will need to adapt to new evasion techniques and new networks. AMLBot has already shown its willingness to innovate, and the launch of this AI-powered tool indicates that the company is committed to staying at the forefront of the blockchain analysis sector. Whether the tool will become a standard resource for crypto investigations remains to be seen, but its arrival is a positive development for those seeking to bring greater transparency to the digital asset space.
Source:Cointelegraph News