Loading the SOTA2 catalog…
ReactWise
AI-powered software for chemical process development that uses Bayesian Optimization and Machine Learning to accelerate reaction optimization for pharmaceutical and biotech companies.
- Founded
- 2024
- Headquarters
- Not disclosed
- Company size
- 1–10
- Products tracked
- 2
Products by ReactWise
Pricing for ReactWise
Contact sales
Contact ReactWise for current plans, volume pricing, and enterprise terms.
Trust profile
Security and compliance
ISO/IEC 27001
SOC 2 Type II
Penetration Testing
Audit Logs
Data Encryption at Rest
Data Encryption in Transit
Private Networking
Latest updates from ReactWise
New feature
ReactWise Launches Explainability and Robustness Tools for Process Scale-Up
ReactWise has updated its platform to include deeper model explainability features. The new capabilities allow users to identify parameters driving yield and impurity, visualize robust operating regions, and simulate the effects of process deviations. These tools are designed to facilitate tech transfer, regulatory submissions, and scale-up decision-making by providing a mechanical understanding of optimal process conditions rather than relying solely on experimental optimization results.
New feature
ReactWise Launches MemoryBO Transfer Learning for API Process Development
ReactWise has introduced MemoryBO, a transfer learning algorithm that integrates with Electronic Laboratory Notebooks (ELN) and data lakes. This feature allows users to leverage historical campaign data to inform new process development experiments. By structuring existing experimental data, the platform enables teams to carry forward knowledge from previous work on related intermediates, reducing the need to restart investigations for similar chemical processes.
New feature
ReactWise Updates Kinetic Modeling Workflow with New Visualization and Analysis Features
ReactWise has released an update to its kinetic modeling workflow that enables users to group time series data by experimental runs and visualize kinetic curves side by side. This improvement facilitates rapid comparison of species behavior across different temperatures and concentrations. By streamlining the visualization and grouping process, the update allows users to move directly into kinetic model identification using the platform's Kinetics360 tool, reducing the time required for data manual preparation.