Learn more about our agentic AI platform for drug discovery and proteomics research.
Agentic AI refers to autonomous AI systems that can make decisions, plan research strategies, and execute experiments independently. In drug discovery, our agentic AI combines LLM-driven molecular understanding with robotic lab automation to autonomously design, execute, and optimize drug discovery workflows.
Our platform uses Large Language Models trained on over 2 billion protein sequences to understand protein structure, function, and interactions. This enables highly accurate prediction of drug-target interactions, binding affinities, and molecular properties without traditional computational docking.
We're currently in stealth mode conducting private evaluations with Tier-1 research institutions and pharmaceutical companies. Access is by invitation only during this phase.
Our agentic AI platform operates autonomously 24/7, dramatically accelerating the drug discovery cycle from months to days. By combining foundation models with closed-loop experimental optimization, we achieve both speed and accuracy that traditional approaches cannot match.
Yes, we maintain SOC 2 Type II certification, HIPAA alignment, and design our systems for GxP compliance. Security and regulatory compliance are fundamental to our platform architecture.