Quantistry
Quantistry helps enterprises accelerate materials and chemical innovation by delivering lab-grade simulation insights faster and cheaper than traditional R&D. It combines quantum chemistry, physics-based modeling, and machine learning in a cloud-based Materials Intelligence Platform delivered as browser-native, natural-language workflows with no infrastructure or PhD-level setup required. The product functions as a B2B SaaS for industrial customers across energy storage, aerospace, pharmaceuticals, and materials science, enabling discovery, optimization, and validation of new materials. Quantistry integrates advanced simulation cores and ML models to produce predictive properties and design candidates at scale for industrial R&D teams.
Quantistry
Quantistry helps enterprises accelerate materials and chemical innovation by delivering lab-grade simulation insights faster and cheaper than traditional R&D. It combines quantum chemistry, physics-based modeling, and machine learning in a cloud-based Materials Intelligence Platform delivered as browser-native, natural-language workflows with no infrastructure or PhD-level setup required. The product functions as a B2B SaaS for industrial customers across energy storage, aerospace, pharmaceuticals, and materials science, enabling discovery, optimization, and validation of new materials. Quantistry integrates advanced simulation cores and ML models to produce predictive properties and design candidates at scale for industrial R&D teams.
TL;DR
Product: QuantistryLab — cloud-native, browser-accessible materials & chemical simulation platform
Founded / HQ: 2019, Berlin (Freie Universität Berlin spinoff)
Tech: Quantum chemistry + multiscale physics simulations + machine learning
Customers / Use cases: Industrial R&D in energy storage, aerospace, pharmaceuticals, materials science
Recent funding: €3.0M seed round (closed March 12, 2024) led by Ananda Impact Ventures
Company Overview
Problem Domain
Accelerating materials and chemical R&D and discovery through predictive simulation and ML to reduce cost and time of experimental cycles.
Founded
2019
Industry
DeepTech
Tech Stack
Funding Track Record
€3,000,000
Co-investors include Chemovator (BASF), IBB Ventures, and a family office
Investor Signal
“Led by an impact/industry investor (Ananda Impact Ventures) with strategic co-investment from industry-linked Chemovator (BASF) and regional investor IBB Ventures”