The reasoning layer above your materials data
Elixir reasons across a connected map of materials, properties, operating conditions, and failure modes, so your team can ask which material to choose, why it might fail, and what to build next, and get back a shortlist you can follow and defend.
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Watch a materials decision come together.
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- Selection
- Field
- Aerospace alloys
Find replacements for titanium alloys that stay strong above 500 °C, hold yield strength over 600 MPa, and resist creep and oxidation.
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Ontology maps for decision making
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Material intelligence & innovation solutions for engineering design & R&D workflows.
Enriched database with material-informed AI models
+600,000 cross-industry materials with regular updates
100+ properties and techno-economic metrics
Computational tools to validate AI predictions
Gas adsorption prediction now available for any material
Top material benchmarks for CO2 capture and heat management
Partners & Collaborators
Who Elixir Is For
Product and design engineers
The material you have does not meet the new requirement or performance envelope, and the ones in your database do not either. Elixir expands the candidate set beyond what a static material library in your CAD software holds, screens every constraint together instead of one at a time, and returns a ranked shortlist which saves months of material exploration.
Materials researchers
You are running a search campaign and the property you need was never measured. Elixir predicts missing properties across 600,000+ materials, shows you the confidence level, and keeps the evidence trail behind every candidate. We will also show you the paths to go above and beyond existing materials.
Elixir Software Platform
Material Intelligence
Identify high-performance and cost-effective materials by running queries through extensive databases.
Material Discovery
Access pre-trained generative and predictive AI models, along with first-principles calculation tools, to design and validate better materials.
Better Materials
for Better Technologies
Eliminating design fixedness and data fragmentation through a continuously updated material database.
Shorten design cycles with AI-assisted material selection and scenario simulations.
Identify and procure product-ready and product-feasible materials while minimizing supply chain risks.
Latest News
The Real Cost of Advanced Packaging Material Qualification
Yield losses from material failures can cost a fab line $1-10M per year. Most of that cost traces back to qualification ...
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Why Sorbent Materials Fail Before They Reach Commercial Scale
Sorbent degradation over repeated capture-and-regeneration cycles can cut CO2 capture efficiency by 15-40%, and thermal ...
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Chemia Discovery Expands to Montréal
Chemia is expanding to Montréal to grow its AI development activities and strengthen collaborations, while continuing it...
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Chemia Discovery Joins NEXT AI Montréal 2025
We’re thrilled to announce that Chemia Discovery Inc. has joined the 2025 cohort of NEXT AI Montréal, a leading program ...
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Chemia Discovery Joins DémultiplIA 2025
We are honored to be part of the first cohort of DémultiplIA, a program that drives innovation and growth for Québec-bas...
Read MoreComprehensive and Versatile Material Solutions
for Every Need
Extensive Database & AI-Driven Insights
Our platform contains an enriched database of +600,000 materials using AI-generated data that is validated with first-principles calculations and experiments.
Cost-Effective Solutions & Alternatives
Discover low-cost alternatives to critical materials and unlock value from mining or other low-cost by-products.