Scispot Launches AI-Powered Scientific Analytics and Custom Dashboard

Scispot, the leading Gen AI-powered biotech tech stack provider, has introduced AI-powered analytics into its Lab Operating System (LOS). This new feature enables users to create personalized dashboards for lab R&D, production, and operational data. Users can also analyze experiment results without any coding skills, using a natural language interface powered by Scibot.

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The AI-powered Analytics and Dashboard transforms how different departments within a biotech company interact with their data. CXOs can now create dashboards by conversing with Scibot, gaining insights into financial analytics, operational efficiencies, and strategic metrics. Laboratory operations personnel can track daily instrument utilization, cost analytics, and workflow efficiency. Researchers can monitor experiment results, inventory usage, and detect anomalies, enhancing the precision and productivity of their scientific endeavors.

“Our mission is to accelerate biotech R&D by democratizing data access, allowing users to gain actionable insights regardless of their technical background. This innovation is a significant step toward that goal.” Satya Singh, President and CPO of Scispot

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Researchers can now design custom dashboards and perform advanced analytics directly within Scispot using natural language processing. This eliminates the need for coding skills and reliance on computational teams. The AI-powered dashboard instantly creates personalized scientific data visualizations. This feature makes biotech R&D data easily accessible, simplifies the analysis of both historical and new experimental data and lab equipment utilization, and effortlessly detects experiment anomalies.

Scispot’s new analytics lets scientists create graphs and scorecards from selected notebook pages and lab databases using natural language. Popular tools, such as p-value calculators, t-test calculators, chi-square tests, and linear regression analyses, can now be generated easily, replacing the need for software like GraphPad Prism, Spotfire, and Tableau. Scientists can drag and drop charts as widget tiles, view and generate suggested prompts, and directly edit graphs using natural language. Lab Managers can create dashboards to track material costs, inventory, and instrument utilization, while CXOs and management can track productivity and strategic metrics, all while ensuring data security and privacy.

“We are thrilled to introduce our AI-powered analytics, redefining data interaction,” said Satya Singh, President and CPO of Scispot. “Our mission is to accelerate biotech R&D by democratizing data access, allowing users to gain actionable insights regardless of their technical background. This innovation is a significant step toward that goal.”

As a leader in integrating AI into biotech labs, Scispot empowers scientific research with its apps, including LOS, ELN, and LIMS alternatives. By incorporating AI-enabled analytics into its platform, Scispot sets new standards in biotech R&D.

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