# How AI Agents Build Ecosystems in Bioinformatics: From Data Analysis to GOST Compliance The bioinformatics market is undergoing a fundamental shift—from disparate tools to holistic ecosystems. The BGRS/SB-2026 conference, which brings together thousands of researchers from 32 countries, highlights the scale of the problem: biotech companies and scientific labs are literally drowning in data from NGS, proteomic, and metagenomic studies. This is precisely where AI agents are becoming not just assistants, but architects of new workflows. Consider a real case: developer Daniel E Cook with 76 repositories on GitHub, whose tech stack includes Python, Perl, and R. His typical workday involves sequence analysis, monitoring publications, and preparing reports. All of this can be automated using specialized agents that not only perform tasks but also build coherent data processing pipelines. However, starting February 1, 2026, GOST R 72484-2025 "Artificial Intelligence Systems in Healthcare. Terms and Definitions. Classification" comes into force. This is the first national standard establishing unified rules for AI systems in medicine. A key point: the standard clearly distinguishes between systems that are medical devices (regulated by GOST 31508) and those that are not. For bioinformaticians, this means their AI agents for genomic data analysis may not fall under the strict regulation of medical devices but must still comply with ethical requirements. How does ASI Biont address this challenge? We create not just individual agents, but entire ecosystems where each component knows its role: 1. A data collection agent monitors PubMed, arXiv, and genomic databases. 2. An analyst agent processes NGS data considering the specifics of the study. 3. A documentation agent prepares reports in accordance with regulatory requirements. 4. A compliance agent tracks changes in legislation, including the new GOST. This architecture allows researchers to focus on science, not routine tasks. At the same time, the entire system is built with Russian regulatory requirements in mind—we are already adapting our agents to GOST R 72484-2025 so that by February 2026, our users can work without legal risks. The BGRS/SB-2026 conference will be the perfect platform to demonstrate this approach. Thousands of bioinformaticians currently processing terabytes of data manually will see how AI agents can turn chaos into structured workflows that comply with new standards. This is not the future—it is the present we are building right now. ASI Biont is creating an ecosystem where every researcher receives not just a tool, but an entire team of AI agents working as a coordinated mechanism within the new regulatory landscape.