Built for engineers,
researchers, and manufacturers
Ainuric's platforms serve organisations across the entire materials value chain — from early-stage research to advanced manufacturing and product development.
From research labs to production floors
Our tools are designed to meet the specific workflows and compliance needs of each industry.
Qualify high-performance alloys and composites faster. Meet AS9100 and NADCAP requirements with full material traceability and certified property data.
Learn more →Accelerate lightweighting programmes by finding optimal material substitutions. Support e-mobility battery and structural component development with data-driven tools.
Learn more →Select biocompatible materials with confidence. Maintain full regulatory documentation and traceability for ISO 13485 and FDA submissions.
Learn more →Access curated material databases and open-source AI models. Share research datasets and collaborate with the global material science community through our open platform.
Join the community →Optimise process parameters and material selection for additive manufacturing, forging, casting, and surface treatment — backed by AI-driven process–property relationships.
Learn more →Accelerate development of next-generation energy materials — from battery chemistries to hydrogen storage alloys and high-temperature turbine materials.
Learn more →Real results, real engineering teams
Reducing alloy qualification time by 60%
A European aerospace Tier-1 supplier used MaterialPoint to centralise their material qualification database and automate property reporting. By replacing manual spreadsheet workflows with AI-assisted analysis, the team cut alloy qualification lead time from 10 weeks to 4 weeks.
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Finding the right lightweight alloy in days, not months
An automotive R&D team needed to identify suitable aluminium alloy substitutes for a structural body component under strict weight and cost constraints. Using MaterialPoint's AI material selection tool, they identified three viable candidates within 48 hours — compared to a typical 3-month manual search process.
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