KAMA FLOW supports the development of AI-based longevity solutions.

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On July 24, the final of the "AI Agents for Longevity" hackathon took place, bringing together over 100 specialists from different countries to collaboratively solve challenges in biotechnology and artificial intelligence. KAMA FLOW Investment Director Sergey Gaivoronsky participated as a jury member, evaluating promising projects.

Participants worked on tasks in three main areas:

• LLM Benchmark based on OpenGenes: development of metrics and tasks for assessing language models in extracting facts from scientific publications on aging. The work was based on a manually annotated database of over 1,700 articles reviewed by biologists.


• AI agents for extracting ligand–protein binding data from patents: creation of an open-source pipeline for finding and structuring parameters (IC50, Ki) in unstructured patents, including automated reading, filtering, and validation of information.


• Longevity Priority: tools for identifying and ranking the most promising directions in aging science based on the analysis of scientific publications, patents, and industry reports.

"Working on complex challenges such as life extension requires not only expertise but also enthusiasm. I was impressed by how 20 teams, in just a few days, presented meaningful solutions using AI agents for tasks proposed by industry leaders such as Gero.ai. Thanks to the advances in GenAI, longevity startups are now attracting the attention of major funds, technology companies, and even pharmaceutical giants. We are confident that artificial intelligence will transform the biotech and medtech industries, which is why we support communities such as Blastim, the organizer of this hackathon. It was an honor to serve on the jury with leading market experts and to present a special prize to a developer who used AI to create a tool to accelerate scientific work. We believe that the use of AI co-pilots can significantly boost both individual and collective productivity, and we strive to support and implement such approaches,"  

noted Sergey Gaivoronsky.

During the event, the special KAMA FLOW nomination was awarded to Margarita Soloshenko for her project AgingBioHypotheses—a scientifically rigorous hypothesis generator for aging biology research that uses artificial intelligence and big data analysis to uncover hidden patterns and identify new directions in longevity science. We congratulate Margarita and wish her continued success and outstanding scientific achievements!