Scientific AI
Inform every experiment with powerful in silico data
Scientists need access to the most advanced analytics and AI models, right where their data lives. Benchling brings the most cutting-edge scientific AI and analytics directly into the hands of your wet lab scientists — so they can curate data, serve models, generate insights, and move forward with speed.
Transform into an in silico-first organization
Give scientists access to the most cutting-edge scientific AI, directly in Benchling. With access to the latest scientific models like AlphaFold, Chai, and Boltz, your team can get insights and predictions to drive their work forward faster. With AI models alongside your team’s collective historical data, in silico computation becomes a flywheel that accelerates breakthroughs.
Centralize and curate datasets across R&D teams
Build a data foundation by automatically connecting data from instruments and systems across your organization. With Benchling, you can easily curate and check dataset quality to ensure it’s ready for modeling. Plus, get full dataset traceability with models and predictions.
Use machine learning to uncover your best next experiment
With Experiment optimization in Benchling, let machine learning predict the best parameters for your experiment, or rapidly identify key variables. Combine classical ML techniques with Bayesian Optimization to explore drivers of past experiments' success and recommend optimal new collections of designs or experiments for your next iteration.
Speed up drug discovery with Molecular design
Speed up drug discovery with AlphaFold in Benchling. Use this built-for-science AI program to predict the structure of protein sequences, visualize them in 3D models, and interact with them — alongside all your experimental context on a single secure platform.
Build interactive antibody visualizations with PipeBio
Use the power of PipeBio and Benchling together to identify better antibodies and therapeutic peptides, faster. With PipeBio, wet lab scientists can easily analyze antibody and peptide sequences with functional assay data and bioinformaticians to deploy their own code and run workflows.
