Searching for wellness: Serkanto AI
Wellness is a universal pursuit, transcending borders and social classes. The key question remains: how do we achieve it? At Kresko, we are committed to supporting this quest through innovation and a solid scientific foundation. Our bioinformatics platform, powered by a growing library of over 350,000 dietary RNAs—expanding every second—aims to drive improvements in people’s lives.
Facing the challenge of modern nutrition
We know that food industrialization has expanded and diversified access to an ever-growing array of options. However, it has also significantly reduced the nutritional quality of what we consume, stripping away essential bioactive compounds that directly impact our health and that of future generations.
This is the paradox of modern nutrition.
At Kresko, we are committed to generating knowledge that can help change this reality by restoring the benefits of dietary RNAs. To identify which dietary RNAs to prioritize, where to source them, and how they contribute to wellness, we have developed an AI-powered bioinformatics platform that detects patterns and relationships between these compounds and their effects on human health, accelerating the discovery and development of new products.
Transforming health through research
One of the greatest obstacles in modern science is the difficulty of quickly and accurately identifying which bioactive compounds truly impact health and where they originate. Many natural ingredients in today’s market lack the solid scientific validation needed to support their benefits.
To address this challenge, Serkanto AI was created, offering a faster and more precise way to identify bioactive RNAs in nature—particularly in medicinal plants and fungi.
Its development is based on a multidisciplinary approach that integrates RNA biology, artificial intelligence, and bioinformatics, bringing together these fields to analyze and interpret complex biological data. Thanks to its precision, the platform can validate the biological effects of RNAs with minimal false positives, at low cost, and in a short time. It achieves this by integrating massive sequencing data, biological databases, and experimental findings, all enhanced by AI. The result is a solid foundation of knowledge that can be applied to wellness-focused industries.
Serkanto's powerful integration capabilities stem from two key AI-driven learning approaches. On one hand, Machine Learning (ML) enables systems to learn from data without explicit programming, allowing Serkanto AI to identify patterns in biological data and predict the effects of dietary RNAs on health. On the other hand, Deep Learning (DL)—a more advanced form of ML—uses multi-layered artificial neural networks to analyze complex datasets. In Serkanto AI, DL is applied to model interactions between dietary RNAs and human cells, enabling even more accurate predictions.
A milestone in innovation
In this brief yet productive journey, one of the key milestones of the platform was the identification of bioactive RNAs in milk, achieving an 88% accuracy in its predictions. By combining different bioactive RNAs, we successfully developed our first MVPs—one for improving sleep and another for cellular skin regeneration.
Today, the platform has mapped approximately 350,000 dietary RNAs and is actively studying over 10,000 species. Looking ahead, our goal is to expand its capabilities by integrating more experimental validation data, refining our functional prediction models, and exploring emerging markets such as RNA-based nutraceuticals. These advancements will contribute to the sustainable growth of the functional foods, cosmetics, and wellness industries, strengthening the scientific foundation for next-generation bioactive compounds.
Let’s talk
If you’re interested in partnering or investing in the future of dietary RNAs, let’s connect.
