Invert is an AI-powered bioprocess data management platform designed to streamline the collection, structuring, and analysis of bioprocess data. By integrating with various equipment and software systems, Invert automatically ingests unstandardized data, harmonizes it, and provides real-time insights to optimize bioprocess operations. This enables teams to make confident development decisions, reduce manual data handling, and accelerate time to milestones. Key Features and Functionality: - Data Acquisition: Ingests unstandardized bioprocess data from multiple sources through a simple drag-and-drop interface, automatically structuring it for immediate use. - Data Exploration: Allows users to browse and visualize key metrics such as pH, dissolved oxygen, and product titer across bioprocess runs. - Analysis Tools: Enables side-by-side comparison of runs, annotation of critical process events, and automation of calculations to identify trends and deviations. - Collaboration: Facilitates the generation, editing, and sharing of reports with internal and external collaborators, enhancing communication and decision-making. - Metric Management: Merges metrics from all sources to ensure data consistency and quality control. - Process Lineage: Characterizes end-to-end processes, identifying bottlenecks and understanding interactions between upstream and downstream operations. - Pre-built Models: Offers easily trainable models on user data, with or without coding, to support process optimization and outcome prediction. Primary Value and Problem Solved: Invert addresses the common challenges in bioprocessing, such as fragmented data, manual data cleaning, and inefficient analysis tools. By automating data management and providing real-time insights, Invert reduces the time and effort required to manage large bioprocess datasets. This leads to faster, more confident decision-making, improved process reliability, and accelerated development timelines, ultimately bringing life-changing therapies and sustainable products to market more efficiently.