Focus faster — even without AI expertise.
AccelBio.ai provides an automated research pipeline based on Artificial Intelligence technologies, it helps scientists quickly focus on what truly matters—reducing research time, complexity, and cost.
Positioning:
Research acceleration, not a replacement for scientific judgment.
Value:
Speed up analysis and focus, improving research efficiency.
Principle:
Data, model weights, and analysis results remain with researchers.
Capability: scale research from manual to systematic
We organize data, training, inference, and structural analysis into a single workflow that helps you narrow the problem space while keeping decisions in your hands.
Train dedicated models with your structural and activity labels. Training records are reproducible and traceable, and weights are yours.
Batch inference on unknown compounds to quickly filter out poor candidates and save time and cost.
Cluster by structural and chemical features to extract common patterns and focus on fewer, more critical regions.
Steps: five moves, the rest is automated
A fully reproducible pipeline from raw data to actionable results.
Structured steps, consistent outputs — no manual glue code required.
Steps: five moves, the rest is automated
A fully reproducible pipeline from raw data to actionable results.
1. Upload Data
Prepare and upload your experimental or curated datasets.
2. Choose Model
Select a suitable model or configuration for this task.
3. Launch Job
Execute the job and let the system process your data.
4. Review Results
Inspect results and evaluate model outputs.
5. Export
Download or archive the generated results.
Structured steps, consistent outputs — no manual glue code required.
Start your AccelBio workflow
You get:
Dedicated model training, unknown molecule inference, clustering and structural clues.
You own:
Uploaded data, model weights, analysis and clustering results.