Biographica’s platform
Full biological context
Our models go beyond single data sources by integrating the full spectrum of biological context: protein sequence and structure, regulatory DNA variation, interaction networks, transcriptomic dynamics, and the latest literature. This multi-modal approach allows us to capture subtle dependencies that drive trait expression. By fine-tuning predictions to specific genetic backgrounds, we ensure that targets are not just theoretically promising, but practically relevant.
Integrated platform
We combine wet lab and dry lab into a single, iterative discovery engine. Proprietary datasets provide the foundation for model training, while in planta validation closes the loop-delivering both the evidence needed for customer conviction and the data needed to continuously refine our models. This tight integration accelerates the discovery cycle and compounds predictive power with every experiment.
Novel edits
Our platform is designed not just to identify genes, but to uncover the full range of possible edits. From protein-coding variants to subtle changes in regulatory DNA, we highlight opportunities across the genome. By expanding beyond conventional targets, we open the door to more precise, effective, and durable innovations in crop improvement.
