Features
Turn internal experimental data, papers, and patents into usable knowledge. Select promising synthesis routes from diverse candidates, check reaction feasibility, and develop a process concept covering steps and reaction conditions.
AI that organizes knowledge and builds databases
Convert internal experimental data, papers, patents, and other sources into organized knowledge that can be put to use.
AI that finds synthesis routes
Multiple route exploration AIs generate diverse candidates, and consensus AI selects promising synthesis routes.
AI that checks reactions
Check reaction feasibility in advance using data and quantum chemistry calculations.
AI that develops process concepts
Develop a conceptual process design, including steps and reaction conditions, based on the synthesis route.
Convert internal experimental data, papers, patents, and other sources into organized knowledge that can be put to use.
Multiple route exploration AIs generate diverse candidates, and consensus AI selects promising synthesis routes.
Check reaction feasibility in advance using data and quantum chemistry calculations.
Develop a conceptual process design, including steps and reaction conditions, based on the synthesis route.
Fine-grained access control by department, team, and user, with SSO integration.
Visualize departmental usage and support flexible billing and cost allocation.
Connect external systems and internal tools through APIs.
Monitor calculation jobs, rerun them, and set execution priorities.
Operate in AWS environments and connect through a VPC for secure use.
Next step
Tell us about the work you want to address: knowledge creation, route exploration, reaction validation, or conceptual process design. We will review your task and data requirements and discuss implementation.
