Find your solutions with Antibody Discovery & Development service

Our solution leverages state-of-the-art artificial intelligence and machine learning to design and optimize antibodies from scratch. By simulating antigen-antibody interactions and predicting optimal binding regions, our platform accelerates the discovery and development of high-affinity, specific antibodies for therapeutic, diagnostic, and research applications.

Our services are ideal for biotechnology and pharmaceutical companies, academic research labs, and diagnostic developers. Whether you’re working on immunotherapy, vaccine development, or diagnostic assay innovation, our platform can help streamline your antibody discovery process and reduce R&D timelines.

The process starts with your input data—such as antigen structure, target epitopes, and desired binding properties. Our AI algorithms then generate a diverse library of antibody sequences and predict their binding affinities using molecular simulations and deep learning models. We prioritize the most promising candidates for further experimental validation, significantly reducing the number of costly lab iterations.

Our platform can design a variety of antibodies, including monoclonal antibodies, bispecific/multispecific antibodies, and antibody fragments (such as Fab or scFv). The system is flexible and can be customized to meet the specific requirements of your therapeutic or diagnostic application.

Absolutely. We tailor our AI models to your target molecules, experimental constraints, and specific design goals. Our team works closely with you to adjust algorithm parameters and integrate your proprietary data, ensuring that our solution meets your unique research or commercial objectives.

Our platform features robust API support and standard data export formats (e.g., CSV, JSON) to seamlessly integrate with your Laboratory Information Management Systems (LIMS) and computational pipelines. Additionally, we offer comprehensive onboarding and training to ensure smooth adoption by your team.

Our models are trained on extensive datasets of antigen-antibody interactions and refined through continuous feedback from experimental validations. While our predictions are highly reliable, we recommend conducting in vitro or in vivo validation to confirm the functional performance of selected antibody candidates.

Yes, we provide proof-of-concept (PoC) trials and collaborative validation support. Our experts can help you set up experiments to test top candidate antibodies in your lab, ensuring that our computational predictions translate effectively into high-performance molecules.

We offer flexible pricing tailored to the scope of your project. Options include subscription-based models for ongoing research needs and project-based pricing for specific antibody discovery campaigns. Please contact us for a detailed consultation and custom quote.

Our dedicated customer support team is available to assist you at every stage—from onboarding and technical training to troubleshooting and updates. We offer multiple support channels, including email, phone, and live chat, as well as comprehensive documentation and FAQs.