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.
See Elixir reason
Watch a materials decision come together.
Elixirlive demo
Selection
- Mode
- Selection
- Field
- Aerospace alloys
The question
Find replacements for titanium alloys that stay strong above 500 °C, hold yield strength over 600 MPa, and resist creep and oxidation.
Illustrative demo · representative values
Building proxy chains
yield strength proxy ← bulk modulus K and shear modulus G (E = 9KG / (3K+G))
Ontology maps for decision making
Try it yourself
Pick a starting point, grouped by what you are trying to do
Root-cause analysis
Material selection
Engineering design
or write your own
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
30+ properties and techno-economic metrics
Computational and experimental scientific tools to validate AI predictions
Gas adsorption prediction now available for any material
Top material benchmarks for CO2 capture and heat management
Partners & Collaborators
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.
Procurement Intelligence
Source smarter with overlooked materials and low-cost options, alternative form factors such as coatings, and optimized formulations for multifunctional materials.
Enrich your material database for engineering design and scenario simulations. --> Learn about top cross-industry material benchmarks.
Better Materials
for Better Technologies
Eliminating design fixedness and data fragmentation through a continuously updated material database.
Identify or develop better materials for CO2 capture, heat management, and high-tech.
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
11 Jul 2026
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 ...
Read More11 Jul 2026
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 ...
Read More
14 Apr 2025
Chemia Discovery Expands to Montréal
Chemia is expanding to Montréal to grow its AI development activities and strengthen collaborations, while continuing it...
Read More
25 March 2025
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 ...
Read More
03 Feb 2025
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.
Who We Serve
Material suppliers
Companies manufacture conventional to advanced materials and specialty chemicals.
Engineering simulation and consultant firms
Companies seeking to enrich their material databases and discover better-performing materials.
Specialty chemical manufacturers and OEMs
Companies sourcing specialized, small-scale materials from CROs or third-party suppliers for applications in aerospace, IoT, electronics, and medical devices.
Emerging applications through material intelligence
Realistic, data-enriched physical properties of materials for digital twin simulations and material generation in discovery workflows.