Case Study: Persist AI achieves AI-ready, streamlined R&D data management with Scispot

A Scispot Case Study

Preview of the Persist AI Case Study

How Persist AI is Preparing AI-Ready Data with Scispot

Persist AI, an AI-enabled biotech company, needed a better way to manage tabular, assay, image, and instrument data across experiments and sources. Before Scispot, the team relied on Excel and Google Sheets, which made it difficult to maintain version control, audit trails, permissions, and a single source of truth as the company grew.

With Scispot’s configurable data and workflow management platform, Persist AI centralized lab data, linked experiments to in-silico and physical lab information, automated data transfer and cleanup, and made its R&D workflows more organized and AI-ready. Scispot helped Persist AI reduce manual work, improve data accessibility for Python-based analysis and ML models, and scale cost-effectively, with the company also aiming to cut drug formulation development time by about 50%.


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Persist AI

Karthik Raman

Chief Executive Officer


Scispot

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