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About iCyagen
With two decades of expertise in biopharmaceutical research, Cyagen has introduced the iCyagen digital research service platform. We directly address the practical challenges researchers face: fragmented data, inefficient retrieval, generic AI responses that lack professional depth, and disconnected research tools. To solve this, we have built a one-stop, intelligent, and efficient biopharmaceutical research gateway centered on an integrated data infrastructure and a multi-scenario AI Agent matrix. We handle the complex data processing, experimental design, and analysis, allowing you to stay focused on core scientific exploration.
We are the first in the industry to launch enterprise-grade, vertical-domain AI Agents, covering common and specialized research scenarios such as gene editing strategy, intelligent diagnosis of animal symptoms, and antibody analysis. Built on Cyagen’s 20-year proprietary knowledge base and a "Knowledge Graph + LLM" fusion technology, these agents effectively minimize the common "hallucination" issues of general AI. They accurately understand professional requirements, automate complex tasks, and output actionable, professional-grade results.
On iCyagen, you can access an integrated database linking genes, diseases, mutations, and models for comprehensive bioinformatics research. We aim to overcome the traditional isolation of biological databases by integrating these four major data sources at the foundational level. This allows for deep data correlation, millisecond-level cross-library search, and intuitive visualization, providing you with high-granularity, high-fidelity, and fully traceable professional data support.
Additionally, we offer proprietary Bioinformatics + AI tools:
RNA Splicer: Predicts whether base mutations will affect mRNA splicing sites and provides detailed analysis and visualization.
ASO Designer: Screens promising candidate sequences by calculating binding affinity and other key pairing metrics between ASOs and target sequences.
Pathogenicity Predictor: Evaluates the pathogenic risk of genetic variants, computes variant pathogenicity scores using multi‑dimensional genomic evidence, and outputs clinical variant classification results.
From foundational database queries to experimental design for animal and cell models; from supporting research outputs like papers and patents to antibody sequence analysis and structure prediction—iCyagen covers the entire biopharma research lifecycle. Here, you no longer need to switch between multiple platforms, spend excessive time mastering complex tools, or worry about the accuracy of AI responses. Leveraging years of industry roots, Cyagen empowers researchers with data, AI, and digital services to simplify workflows, reduce costs, and enhance efficiency as we explore the possibilities of life sciences together.