Overview

DataHowLab is a cloud-native SaaS platform designed to transform bioprocess development in the biopharmaceutical industry. By leveraging advanced AI and machine learning technologies, it enables teams to develop better processes with fewer resources. The platform facilitates seamless collaboration, allowing teams to access powerful technologies and work together on shared developments conveniently. DataHowLab supports the entire lifecycle of bioprocess development, from early-stage research to commercial production, providing tools for data analysis, modeling, and simulation to optimize processes efficiently.​

Features and Capabilities

• AI-Enabled Experimental Design: Utilizes advanced modeling technologies to design optimal experiments, reducing the number of trials needed and accelerating process understanding.​
• Contextualized Data Management: Integrates with existing data historians and hardware devices to create a centralized, contextualized data foundation for informed decision-making.​
• Comprehensive Analytics Suite: Offers a curated set of tools for performing complex analyses and creating customizable visualizations, facilitating collaborative work through shared project boards.
• Embedded Workflows and Automations: Includes built-in workflows and automation features to enhance productivity and reduce uncertainty in complex process development tasks.​
• Lifecycle Support: Provides a unified platform supporting all stages of bioprocess development, from screening and optimization to scale-up and validation.​
• Digital Twin Technology: Enables the creation of digital twins for in silico simulations and real-time process monitoring, aligning with Pharma 4.0 initiatives.
• Robust Security Measures: Ensures data security and privacy through continuous audits by independent specialists, with models that become unique when trained on proprietary data.​
• Training and Support: Offers comprehensive training through the DataHow Academy, including written lessons and video tutorials on data processing, model development, and more.​