DeepSeq.AI
DeepSeq.AI uses generative AI and large-scale functional screening to design protein therapeutics that meet multiple properties such as binding, manufacturability, and efficacy. The company combines generative machine learning models with high-throughput wet-lab assays, next-generation sequencing (NGS), and bioinformatics to generate and learn from massive protein function datasets and to engineer optimized biologics. Its platform supports protein library design and conditional sequence optimization and is delivered as a SaaS platform for biopharma customers. DeepSeq.AI integrates with common bioinformatics workflows and targets pharmaceutical and biotech companies developing biologics. The technology is positioned to accelerate discovery timelines by enabling parallel optimization of multiple sequence properties at scale.
DeepSeq.AI
DeepSeq.AI uses generative AI and large-scale functional screening to design protein therapeutics that meet multiple properties such as binding, manufacturability, and efficacy. The company combines generative machine learning models with high-throughput wet-lab assays, next-generation sequencing (NGS), and bioinformatics to generate and learn from massive protein function datasets and to engineer optimized biologics. Its platform supports protein library design and conditional sequence optimization and is delivered as a SaaS platform for biopharma customers. DeepSeq.AI integrates with common bioinformatics workflows and targets pharmaceutical and biotech companies developing biologics. The technology is positioned to accelerate discovery timelines by enabling parallel optimization of multiple sequence properties at scale.