Multiscale Technologies utilizes AI-driven simulations and high-throughput testing through its MIND platform and SMaRT machine to accelerate materials design and manufacturing processes. This approach significantly reduces time to market and material waste while enhancing quality control and cost efficiency for product companies across various industries.
Funding
$20.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Materials design and manufacturing processes often involve lengthy R&D cycles, extensive physical testing, and high material waste, leading to increased time to market and costs for product companies. Traditional methods struggle to efficiently explore the vast design space and optimize manufacturing parameters for desired material properties and performance.
Solution
Multiscale Technologies offers the MIND platform and SMaRT machine, an integrated solution that leverages AI-driven simulations and high-throughput testing to accelerate materials innovation and optimize manufacturing processes. The MIND platform seamlessly connects data from simulations and experiments, using AI/ML models to reduce the number of iterations required to achieve desired material properties. The SMaRT machine enables rapid testing of small sample sizes under various environmental conditions, generating comprehensive data for model training and validation. By combining these tools, Multiscale Technologies enables companies to expedite product development, reduce costs, enhance quality control, and optimize environmental sustainability. The platform facilitates the creation of digital twins, enabling the simulation of real-world conditions and analysis of extensive datasets to predict material behavior and optimize manufacturing workflows.
Target Audience
The primary customers are product companies in industries such as chemicals, aerospace, defense, semiconductor & electronics, and industrial manufacturing seeking to accelerate materials design, optimize manufacturing processes, and reduce R&D costs.
Features
- AI-powered MIND platform for materials informatics, integrating data from simulations and experiments
- SMaRT machine for high-throughput testing of small samples under rigorous temperatures (cryogenic to 2000°F)
- Streamlined data ingestion from 200+ sources, including legacy and image data extraction
- AI-driven feature engineering, correlation heat maps, and model building for predictive analytics
- Recommendation engine for Design of Experiments (DoE) and prediction engine for manufacturing process optimization
- No-code application development for easy access to complex machine learning models
- Centralized digital asset management and closed-loop automation for R&D and manufacturing teams
- Integration with popular development tools like Jupyter notebook for custom functions and features
- Enterprise-grade security with end-to-end encryption and role-based access control (RBAC)