Machine IntelligenceArtificial Intelligence
Exploring how AI understands complex knowledge, processes scientific data, and becomes a new kind of tool for research and creation.
Exploring how AI understands complex knowledge, processes scientific data, and becomes a new kind of tool for research and creation.
From genomes to complex living systems, using computational methods to understand life's information and genetic variation.
Turning mathematical ideas into computational methods that solve real problems.
Turning research, algorithms, and ideas into software systems that people can actually use.
From genomic data platforms to AI agents, we build digital products that connect science and computation.
Wheat Multi-omics Knowledgebase
A data platform for wheat genomics and multi-omics research, integrating genome, genetic variation, expression, functional annotation, and intelligent analysis.
Learn more →Rice Disease Resistance Explorer
An NLR data exploration system for rice disease-resistance research, studying resistance genes, diversity, haplotypes, and pangenome structure.
Learn more →AI Agent for Biological Research
An intelligent agent system for life-science research, assisting with literature search, data analysis, gene exploration, and knowledge organization.
Learn more →Interactive Genomic Visualization
A modern interactive visualization framework for genomic data.
Learn more →Experimental AI Playground
A playground for testing the latest AI models, agent workflows, and scientific intelligence applications.
Learn more →We believe the most important scientific discoveries of the future will emerge where disciplines meet. Biology needs better computational methods, artificial intelligence needs to understand the complex knowledge of the real world, and software is becoming part of the infrastructure of modern science.
So we don't just study problems — we design tools, build databases, ship software, and document the process along the way.
Biology is becoming a data-intensive science. We believe the next generation of AI will do more than generate content — it will understand scientific data, connect knowledge, and assist discovery.
From data to model to discovery — AI should not just generate content. It should become the infrastructure for understanding life, connecting knowledge, and accelerating scientific discovery.
Research should not stop at analysis. Good ideas deserve good software.
Research should not stop at analysis.
Good ideas deserve good software.
Filll Studio (飞荔科学) is an independent science and technology studio. We work at the intersection of artificial intelligence, life science, algorithms, and software engineering, and we try to connect these fields together.
We believe the most important scientific discoveries of the future will emerge where disciplines meet: biology needs more advanced computational methods, artificial intelligence needs to understand the complex knowledge of the real world, and software is becoming part of the infrastructure of modern science.
So we don't just study problems — we design tools, build databases, develop software, and document the journey.