3S-E13
Data-driven R&D zone
Turning dormant materials data into AI assets, and AI assets into new materials
About 80% of materials R&D data remains unstructured — lab notebooks, failed-experiment data — and most of it goes unused.
KAILOSLAB is a materials data foundry: we turn that dormant data into AI-ready assets. AIMI, our materials AI platform, reads what general-purpose OCR cannot — chemical formulas and complex experimental tables — and structures experimental records, papers and patents under our own data standard. It then predicts material properties and works back from a target property to the composition that achieves it, accelerating development.
At the nano tech 2026 booth, you can see how AIMI is applied across three domains: nanomaterials, beauty and IP.
AIMI is an AI platform for materials R&D that turns your lab's dark data into AI-ready assets, helping shorten development cycles.
① Automatically converts scattered dark data, literature and patents into AI-ready data (Material OCR, 99% accuracy on chemical formulas).
② Links composition, process and property through causal relations in a knowledge graph for explainable AI.
③ Recommends candidate materials by inverse design from target properties.
④ Application-specific modules: automated SEM/TEM image analysis, process anomaly detection.
⑤ On-premise deployment. Each customer's dedicated model and database remain customer-owned, never used to train other customers' models.
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