Yaoyu Yang
Founder & CEO
Cypher AI
10/10Traction
Cypher AI provides an AI‑powered platform that automates the analysis of large genomic and proteomic datasets. By applying deep‑learning models, it predicts variant effects, profiles gene expression, and prioritizes therapeutic targets, delivering annotated results, confidence scores, and visualizations through a secure web interface and API integration for pharma, biotech, and academic researchers.
- Artificial Intelligence
- Data & Analytics
- Biotechnology
- Software Only
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Cynthia Pollard
Founder
Michael T.
Founder
Xiaoyu Chen
Founder
Christina Agapakis
Founder
Product
Problem
Biological research generates massive genomic and proteomic datasets that are difficult to analyze quickly and accurately, limiting the ability of scientists to derive actionable insights for drug discovery and personalized medicine.
Solution
Cypher AI offers an artificial intelligence platform that automates the interpretation of large-scale biological data. The system applies deep learning models to identify patterns, predict functional effects of genetic variants, and prioritize therapeutic targets. Users upload raw sequencing or expression data, and the platform returns annotated results, confidence scores, and visualizations through a secure web interface. Integration with existing bioinformatics pipelines is supported via APIs, enabling researchers to incorporate AI-driven analysis without redesigning their workflows. Continuous model updates incorporate the latest scientific literature and public datasets, improving prediction accuracy over time.
Target Audience
Primary customers are pharmaceutical R&D teams, biotech companies, and academic research labs that need rapid, AI‑enhanced analysis of genomic and proteomic data.
Features
- Deep learning models for variant effect prediction, gene expression profiling, and pathway analysis
- Automated data preprocessing pipelines that handle raw sequencing, RNA‑seq, and proteomics inputs
- Interactive dashboards with heatmaps, network visualizations, and confidence metrics
- RESTful API and SDKs for seamless integration with laboratory information management systems (LIMS) and custom pipelines
- Secure cloud infrastructure with role‑based access control and end‑to‑end encryption of sensitive biological data