Multiscale Technologies
Multiscale Technologies helps manufacturing and R&D teams speed product innovation by creating AI-driven digital twins that reduce physical trials and shorten development cycles. Its core product, the MIND platform, ingests tabular data, documents, simulations and domain expertise to build Bayesian digital twins and predictive models using active learning, knowledge fusion, and deep learning. MIND is delivered as a SaaS platform with no-code tools, a curated metadata catalog, Delta Lake integration, APIs/SDKs, workflow builders, and a decision-intelligence layer for fab- and factory-ready deployments. The company targets semiconductor, automotive, aerospace, metals, chemicals and consumer electronics firms seeking faster time-to-market, lower R&D costs, and closed-loop automation across product and process development.
Multiscale Technologies
Multiscale Technologies helps manufacturing and R&D teams speed product innovation by creating AI-driven digital twins that reduce physical trials and shorten development cycles. Its core product, the MIND platform, ingests tabular data, documents, simulations and domain expertise to build Bayesian digital twins and predictive models using active learning, knowledge fusion, and deep learning. MIND is delivered as a SaaS platform with no-code tools, a curated metadata catalog, Delta Lake integration, APIs/SDKs, workflow builders, and a decision-intelligence layer for fab- and factory-ready deployments. The company targets semiconductor, automotive, aerospace, metals, chemicals and consumer electronics firms seeking faster time-to-market, lower R&D costs, and closed-loop automation across product and process development.
TL;DR
Founded: 2020
Core product: MIND — physics-informed AI platform for digital twins and SMPO
Target customers: Semiconductor fabs and industrial R&D (automotive, aerospace, metals, chemicals, consumer electronics)
Total funding (reported): $18.6M–$22.8M (multiple data sources differ)
Headquarters / offices: U.S. and Hyderabad (offices in Seattle, San Francisco, Boise, Atlanta, Hyderabad)
Company Overview
Problem Domain
Accelerating product and process development (R&D and SMPO) for semiconductor and industrial customers dealing with sparse/noisy data and multiscale engineering problems.
Founded
2020
Industry
Data and Analytics
Tech Stack
Funding Track Record
$11.1M
Multiple earlier rounds reported (dealroom reports a January 2023 round)
Investor Signal
“Alumni Ventures, Micron Ventures, Novelis, AlleyCorp, GKFF, Ridgeline Ventures”