Your Path to Breakthroughs in Materials R&D in Three Steps
INPUT
1 DEFINE
Easily input your desired material properties or target challenge through our intuitive interface. Quantistry’s platform supports candidate molecules, materials simulation, and high-level R&D goals.
Candidate Molecules or Materials
Target Properties & Constraints
High-Level Goal
(e.g., "Improve thermal stability")
OUR PLATFORM
2 PREDICT
Our AI engine determines the optimal computational pathway, orchestrating quantum mechanics, classical physics, and advanced ML/AI models to find the best candidates among millions of possibilities.
Intuitive Interface & Insights Dashboard

AI Orchestration & Learning Layer
Determines optimal computational pathway

Quantum & Physics Simulation Engine
Embeds physical laws to ensure scientifically valid results
Synthetic Data
Augmentation and gap filling for faster convergence
OUTPUT
3 DECIDE
Receive clear, validated insights and data visualizations that guide your next R&D decision — not just raw data. With materials property prediction and AI-powered prediction models, Quantistry delivers actionable results that reduce uncertainty and accelerate innovation in digital R&D.
Optimized & Novel Material Candidates
Validated Insights
Not Raw Data
Clear Performance Predictions
Powered by a Uniquely Intelligent
Materials Intelligence Mix
AI-Driven Discovery
Rapidly screen millions of potential candidates with AI-powered predictions to identify high-promise materials that traditional methods would miss.
Physics-Based Validation
Ensure every prediction is scientifically sound. Our physics-based approach, rooted in quantum mechanics, molecular dynamics and experimental validation, prevents AI “hallucinations” and delivers industry-leading results.
Cloud-Native & Accessible
Put the power of a high-performance computing cluster in the hands of your R&D team. With Quantistry’s digital lab for materials, everything runs securely through a simple, browser-based interface.


Trusted by Industry Leaders
Joint R&D program
Optics

6
years

4
years
Batteries
“The rapid insights gained from Quantistry were beyond our expectations. It's rare to find a chemical simulation platform that so quickly becomes integral to our R&D work in battery materials”

Lubricants
4
years

Optoelectronics
2
years

Energy Tech
2
years

Batteries
1
year

Semiconductors
<1
year
Joint Publication Partner
Automotive

4
years
IR spectroscopy for street drugs
Public Sector

3
years
Joint R&D program
Aerospace

2
years
Novel Materials Program
Construction Materials

<1
year