KAILOSLAB, a materials data foundry, uses AI to overcome trial-and-error bottlenecks in materials R&D. Through our materials-focused AI platform AIMI, we integrate reliable high-throughput data with predictive AI models, accelerating innovation in nanocomposites, semiconductors, and batteries.

AIMI(AI for Materials Innovation) is a materials-focused AI platform. It turns unstructured dark data into AI-ready assets to precisely predict target properties. High-throughput experiments cut time per composition by 91.6%; AI shortens candidate discovery time to 1/10, saving R&D time and costs.