ReactWise provides data-driven optimization software for chemical process development using multi-task Bayesian Optimization algorithms. The platform integrates with laboratory instruments to automate experiments and guide users toward optimal reaction conditions with fewer experimental runs. This approach delivers molecular-level insights and accelerates the timeline for reaction optimization and scale-up readiness.
Funding
Funding not disclosed
Founders
Product
Problem
Developing optimal chemical process parameters for reactions is a time-consuming and iterative process. Identifying ideal conditions to maximize yield and purity often requires extensive experimentation, leading to prolonged development cycles and increased resource expenditure.
Solution
ReactWise offers an AI-powered co-pilot designed to accelerate chemical process optimization. The platform enables the rapid development of bespoke reactivity models using proprietary chemical descriptor databases and user-provided data to predict reaction yields and selectivities. It facilitates seamless integration with automated laboratory equipment, enabling closed-loop workflows and autonomous discovery by directly sending instructions to hardware and integrating with analytical instruments. This approach significantly reduces manual intervention and streamlines the experimental process. ReactWise provides deep insights into chemical reactions, uncovering hidden trends and key parameters that enhance yield, purity, and scalability. Furthermore, its collaborative features support team-wide synergy through shared dashboards and real-time data access, ensuring efficient communication between chemists, engineers, and external partners.
Target Audience
The primary customers are R&D chemists, process engineers, and pharmaceutical development teams seeking to accelerate reaction optimization and improve process efficiency.
Features
- AI co-pilot for rapid development of reactivity models to predict yields and selectivities.
- Proprietary chemical descriptor database for solvents, catalysts, and other reagents.
- Direct integration with automated laboratory hardware for closed-loop workflows.
- Autonomous discovery capabilities through integration with analytical equipment.
- Machine learning-driven optimization to identify peak reaction conditions.
- Yield and impurity prediction tools.
- Shared dashboards and real-time data access for team collaboration.
- Secure, multi-tenant AWS database hosting with end-to-end encryption.
- Option for on-premise deployment for enhanced data security.