
FAR Biotech uses advanced computation to speed up finding drug candidates for difficult targets. It employs a quantum biomodelling platform that models drug-target interactions with quantum similarity, augmented by AI, machine learning and big data to identify lead molecules. The company operates in preclinical drug discovery, serving pharma and biotech customers. Its technology targets hard-to-drug targets across neurodegeneration, oncology and infectious diseases. The approach aims to scale discovery and improve success in high-value therapeutic areas.

FAR Biotech uses advanced computation to speed up finding drug candidates for difficult targets. It employs a quantum biomodelling platform that models drug-target interactions with quantum similarity, augmented by AI, machine learning and big data to identify lead molecules. The company operates in preclinical drug discovery, serving pharma and biotech customers. Its technology targets hard-to-drug targets across neurodegeneration, oncology and infectious diseases. The approach aims to scale discovery and improve success in high-value therapeutic areas.