AI Infrastructure for
Drug Discovery

How it works

Trusted by

Universities

Columbia
Miamioh
Missouristate
Msu
Ncsu
Tamu
Tufts
Uchicago
Ucsd
Umass edu
Umich
Vanderbilt
Virginia
Yale
Columbia
Miamioh
Missouristate
Msu
Ncsu
Tamu
Tufts
Uchicago
Ucsd
Umass edu
Umich
Vanderbilt
Virginia
Yale

Visual Workflow Editor

Drag-and-drop nodes to compose multi-step pipelines. Predict structure, design binders, check properties – all in one canvas.

Managed Infrastructure

We handle GPUs, containers, and scaling. Click run – we execute on cloud compute. No DevOps required.

AI-Assisted Analysis

Intelligent agents help prepare inputs, interpret results, and suggest next experiments. Science co-pilot built into every workflow.

Reproducibility First

Every run is versioned, every environment is isolated. Share a workflow link and your collaborator gets identical results.

Team Workspaces

Collaborate across shared compute, data, and experiments. Track results, share workflows, and manage projects as a team.

Experiment Tracking

Automated logging of every run, parameter, and output. Compare experiments side-by-side with built-in analytics.

cloud.fastfold.ai
Feature 4 screenshot

Organize experiments and runs in project workspaces.