Retrosynthesis
Supercharged
ChemAIRS® combines machine learning and chemical intuition to generate feasible, diverse synthetic routes for both existing and novel molecules.
Expand Synthesis Possibilities
ChemAIRS combines machine learning and chemical intuition to generate feasible, diverse synthetic routes for both existing and novel molecules.
Accelerate Route Design
ChemAIRS offers multiple reaction strategies, providing chemists with new ways to optimize yield, reduce costs, minimize complexity, and shorten synthesis routes.
Optimize Routes
with Building Block (BB) Data
ChemAIRS integrates tens of millions of building block data points, enabling chemists to identify shorter, more efficient routes. This feature helps reduce synthesis steps by 20% to 70%, improving overall process efficiency.
Enhanced Reliability
with ELN Integration
By accessing millions of ELN (Electronic Lab Notebook) entries, ChemAIRS identifies reliable synthetic routes based on previous experimental success, ensuring higher reproducibility and efficiency.
Secure Local Deployment
With dynamic access control, ChemAIRS allows research teams to configure data permissions by project group, maintaining strict confidentiality and security for proprietary research.
