Simreka

Simreka develops software that lets manufacturers run virtual R&D experiments instead of physical trial-and-error. The platform covers three main areas: virtual formulation experiments, which use simulation models and proprietary datasets to identify candidate formulations for applications such as coatings, polymers and cosmetics; a process simulation module for designing and optimizing manufacturing processes, including unit operations such as mixing, heating and cooling with material and energy balances, parameter optimization for temperature, concentration and residence time, bottleneck identification, and prediction of quality, yield and environmental impact; and MatIQ, a generative AI and large language model module positioned as a domain copilot for materials and chemicals questions, patent and literature extraction and summarization, and recommendations on process conditions and substitutes.

The platform also includes forward simulation (predicting properties such as viscosity, pH, stability, compatibility and toxicology from raw material profiles and processing conditions), reverse simulation (deriving ingredient paths from target properties, region or cost), a vectorized formulation data bank, a regulatory engine screening against frameworks including REACH, GHS and TSCA, and sustainability scoring covering toxicity, biodegradability, carbon impact and circularity. Regional formulation variants can be simulated for markets including the EU, US, India and LATAM. Simreka positions the stack as Industry 4.0 infrastructure for R&D and innovation functions, spanning interconnectivity between R&D, compliance and manufacturing tools, predictive modeling, digital twins and identification of bio-based or circular material alternatives at the ideation stage.

At the time of its 2019 seed round, the company described an enterprise simulation software and data service backed by a proprietary database of more than 100 million chemicals and materials and over 1,000 manufacturing processes, including properties, updated pricing and process data accessible via an API.

Founding story

Dr. Akshay Patel is a co-founder and the CEO of Simreka.

Business model

Enterprise software: Simreka licenses its simulation and AI platform and an associated chemical/material data service to manufacturers, with cloud-native and hybrid deployment options and integration into existing LIMS/ELN systems, regulatory data providers and cloud storage and analytics platforms. Database content such as material properties, pricing and manufacturing process data is accessible via an API.

Traction

The company reported in 2019 that it had worked with SAP customers over the preceding 12 months and that an existing Fortune 100 customer reduced complex trial timelines from tens of months to days, with time-to-first-value of two months. Published case studies cover thermoplastics for food contact applications, high thermal stability plastics, high-performance plastics for automotive exteriors and tire materials for high-torque applications. The company states customers report up to 10x faster time-to-market and 30-50% lower R&D costs, with new product launch times moving from 12-18 months to 3-6 months.