Scientific data often becomes fragmented across multiple platforms: experimental assay results reside in ELN/LIMS systems, computational outputs are stored in separate simulation folders, and visualizations require external tools. As a result, data must be reformatted before being used for modeling or screening, and a lack of drag-and-drop interoperability exists between experiments and computation. This leads to slow insight generation, suffers reproducibility, computational screens disconnected from real experimental data, and teams struggling to maintain a single source of truth.
Revilico addresses this by centralizing experimental and computational workflows into a unified ecosystem. Key features include Drive for storing all raw and processed data, a Spreadsheet Editor for rapid visualization and sorting of assay data. The 2D and 3D Viewer provides interactive 3D structural visualization directly from stored files, The Central Hub monitors pipeline status, the Project Hub organizes programs, and drag-and-drop integration moves assay CSV files directly into Docking, QSAR, ADMET-AI, or Generative workflows. Furthermore, the Compound Review + Design Suite allows direct structural editing, and Revilico GPT/Agent & Interpreter generate summaries and quick analyses from stored files.
With this unified ecosystem, your experimental and computational data become: Centralized (one cohesive storage and access layer), Interoperable (instantly usable for modeling and screening), Visualizable (no exporting required), Collaborative (shareable with context preserved), and Computationally ready (directly deployable into pipelines). Instead of moving data between systems, your data lives inside the same ecosystem where you can analyze, model, and simulate.
