Simreka
Simreka provides an AI-powered virtual experiment platform that enables R&D teams in chemicals, materials, and manufacturing to simulate formulations and predict material properties before committing to physical lab work. The platform combines forward and retro simulation to reduce ideation-to-launch timelines by up to 60-70% and cut physical experiments by 70%, while incorporating built-in regulatory compliance checks for standards like REACH and GHS.
- Chemical Technology
- New Materials
- Artificial Intelligence
- Manufacturing / Industry 4.0
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
R&D teams in chemicals, materials, and manufacturing rely on lengthy, expensive physical lab experiments to develop and optimize new formulations. Traditional trial-and-error approaches slow time-to-market, increase development costs, and limit the number of viable candidates that can be explored. Regulatory compliance and sustainability requirements add further complexity to the product development process.
Solution
Simreka provides an AI-powered virtual experiment platform that enables R&D teams to simulate experiments and generate formulations before committing to physical lab work. The platform combines forward simulation, which predicts material properties from formulations, with retro simulation, which identifies formulations that meet target specifications. By leveraging AI and domain-specific data intelligence, Simreka reduces ideation-to-launch timelines by up to 60-70%, cuts physical experiments by 70%, and enables teams to explore 10x more candidates through intelligent search and filtering. The platform also incorporates built-in regulatory compliance checks and supports on-premise deployment or secure cloud hosting to protect proprietary R&D knowledge.
Target Audience
Primary customers are R&D teams in chemicals, materials, and manufacturing industries, including enterprises developing plastics, composites, packaging, coatings, personal care products, and batteries. The platform serves stakeholders across research, development, compliance, and procurement functions.
Features
- Forward simulation to predict material properties and performance from ingredient compositions
- Retro simulation to generate candidate formulations that meet specific target performance criteria
- AI-powered candidate search and filtering to explore 10x more viable material options
- Built-in regulatory compliance simulation for REACH, GHS, and eco-label standards
- Material informatics databank providing domain-specific data intelligence
- Flexible deployment options including on-premise hosting or secure cloud infrastructure
- Supports multiple material domains including plastics, composites, packaging, coatings, and batteries