CuspAI is a technology company focused on applying artificial intelligence to materials discovery and design for the chemical and environmental sectors. Its approach combines machine learning with computational chemistry and domain data to predict structure–property relationships, explore large design spaces, and identify candidates with targeted performance.
The company’s platform supports the discovery and optimization of functional materials—such as adsorbents, porous materials, catalysts, and related chemistries—for applications including separations, water treatment, and decarbonization. By integrating in silico screening with iterative experimental validation, CuspAI helps shorten R&D cycles, prioritize synthetically accessible candidates, and balance multi‑objective criteria like selectivity, stability, and cost. It collaborates with industrial and research partners to translate computational insights into practical materials solutions.
None yet. When a new project in the record names CuspAI as owner, partner or investor, it shows here.
Founding-member move ties chemical R&D to a 45+ partner network using CuspAI’s MIRA platform for end-to-end generative‑AI materials discovery.
Generative AI designed novel MOFs targeting PFAS (GenX, PFBS, PFOS), screened ~300T structures, yielded 5,000 candidates narrowed to ~20 in six months; next phase: development and testing
Revenue and EBITDA declined due to market softness. Water Solutions remained strong. Strategic acquisitions and partnerships aim to boost growth. 2025 outlook remains unchanged.
