Apply co-folding models to your drug discovery programs while keeping your data fully protected
Benchmark models on your in-house data
Explore outputs via a GUI or integrate them into existing workflows
Securely fine-tune models to your domains of interest
Optimized for enterprise security and scalability requirements
Built for scientists, ApherisFold integrates seamlessly into existing R&D stack — supplementing, not replacing, your internal pipelines. It scales efficiently across multiple GPUs, users, and models, and meets enterprise-grade security and performance requirements.
Secure local inference
Deploy ApherisFold locally such that no data leaves your corporate network and internal security policies are met.
In-house model benchmarking
Securely evaluate and compare models on your in-house data using performance guidelines and a benchmarking kit.
Model fine-tuning
Securely customize models to your domain of interests, either on your own data or on third-party data via federated data networks.
Visualization and integration
Explore molecular structures through 3D visualization via a scientist-friendly GUI or connect outputs to existing drug discovery workflows programmatically via an API.
Federated benchmarking in beta testing
Participating companies benchmark models locally on their proprietary data, with all computations staying inside their environments. Only aggregated, privacy-preserving performance metrics are shared to a joint dashboard, creating a federated view of model performance across organizations.
One application - multiple ways to use it
Connect outputs programmatically via an API
Explore 3D molecular visualization through a scientist-friendly GUI
Our users apply ApherisFold for the following drug discovery tasks
Apheris is the partner for secure local inference, benchmarking, and fine-tuning of OpenFold3
This AISB Network initiative aims to improve OpenFold3’s ability to predict complex molecular interactions relevant to industrial drug discovery. The model, developed by the AlQuraishi Lab at Columbia University, will be trained on participating members' proprietary protein–small molecule interaction data in a confidentiality-preserving federated environment powered by Apheris. Participating members are AbbVie, Astex, Bristol Myers Squibb, Johnson & Johnson, and Takeda.
Apheris powers the Federated OpenFold3 Initiative
Access ApherisFold
Securely use the latest co-folding models, like OpenFold3 and Boltz-2, on your proprietary data.
Click here if the form doesn't work