In computational discovery programs, efficiency and strategic oversight are hampered by several issues. Pipelines often run asynchronously across disparate engines, and team members frequently launch jobs without mutual visibility. This lack of coordination means failed jobs can go unnoticed, and without a unified view of computational progress, leadership struggles to assess project momentum. The overall result is the creation of delays, duplicated work, and a significant loss of strategic clarity.
Revilico addresses these transparency issues by providing centralized execution management. The system uses a Central Hub to display real-time pipeline status (such as Queued, Running, Completed, or Failed) and a Project Hub to organize pipelines by indication, target, or campaign. Pipeline Sharing allows for visibility across the team without file duplication. To maintain workflow integrity, the Revilico Agent can notify users of failed jobs or stalled workflows over slack or email, and Revilico Agent/GPT summarizes pipeline outputs for rapid reporting.
The ultimate outcome is that computational work becomes highly Visible, Auditable, and Strategically trackable. Instead of team members asking reactive questions like “Who ran this?” or “Is that done yet?”, the entire team operates with shared situational awareness and a clear understanding of the project’s progress.
