AccelBio.aiis a research acceleration platform for life science and medical researchers. Through models, algorithms, and reproducible modeling and analysis workflows, we help researchers analyze molecular data more efficiently, narrow focus, quickly filter out low-value candidates, and save time and cost.

• User data is only used for their own training, inference, and reproducibility preservation;
• The platform does not use user experimental data for unified training, model improvement, or any unauthorized purpose;
• Strict data isolation and access control policies prevent cross-user access;
• Users can permanently delete all data, model weights, and analysis results at any time;
• We record necessary versions, parameters, and environment metadata to support scientific reproducibility.

• Dedicated model training: Train dedicated models with your molecular data and activity labels for unknown molecule inference.
• Research focus: Use clustering and structural analysis to detect shared physical or chemical patterns and narrow experimental scope.
• Asset retention: Uploaded data, model weights, and clustering results remain with the user.

• We do not make research conclusions or experimental decisions for scientists;
• We do not automatically generate or recommend drug candidates;
• We do not build cross-user unified bioactivity databases;
• We do not convert user data into platform-owned assets;
• We do not promise experimental or clinical outcomes.