Invert, a leader in AI-driven bioprocess software solutions, has unveiled Invert Assist, an innovative AI-powered analysis interface for bioprocesses that allows users to conduct data analysis and process modeling using natural language prompts. This launch marks a significant step towards Invert's goal of leveraging AI to shorten development and manufacturing timelines in the biopharmaceutical sector, thereby expediting the creation of life-saving therapeutics.

Biopharmaceutical developers and manufacturers often grapple with the overwhelming volume and complexity of their upstream and downstream bioprocess data. This data frequently remains siloed and underutilized due to constraints on scientists' time, layers of corporate IT, and fragmented workflows across different scales and sites. Furthermore, new therapeutic modalities, such as complex biologics and cell and gene therapies, introduce even more intricate processes that necessitate deeper insights. These hurdles contribute to an "analysis to action" gap that stifles bioprocess innovation and hampers manufacturing efficiency. Invert Assist aims to bridge this gap by linking data analysis directly to critical decision-making.

Invert Assist is a comprehensive AI solution that performs bioprocess analysis, a task that typically requires hours of manual coding by expert teams, assuming such expertise and resources are available. Through a straightforward chat interface, users can instruct Invert Assist to identify trends and correlations, isolate factors influencing differences between production runs, construct predictive process models and simulations, and summarize multiple experiments with key takeaways across unit operations, from upstream cell culture to downstream purification. "We've built Invert to close the gap between data and action. Our new AI offering is an obvious next step, transforming bioprocess data into actionable insights, without the user needing to write code. What once took months, now takes seconds," states Martin T. Permin, Invert CEO and Founder.

Internal evaluations at Invert have demonstrated that Invert Assist consistently surpasses general-purpose large language models (LLMs), such as OpenAI's ChatGPT, in bioprocess-specific tasks. To evaluate model performance, Invert created specialized assessments tailored to bioprocess data and tasks. When tasked with providing recommendations for process optimization, Invert Assist's responses consistently received scores over twice as high as those from general-purpose models.

Utilizing Invert's core bioprocess software, Invert Assist establishes a reliable foundation of unified, harmonized, and contextualized data, ensuring that results are derived from the users' own high-quality, real-time process data across various unit operations and production scales. Unlike many LLMs, Invert Assist is designed to function within regulated biomanufacturing environments, executing fully accessible Python code for traceable, verifiable outcomes. The development of Invert Assist was guided by decades of practical bioprocess experience, focusing on addressing the real-world challenges faced by the industry from the laboratory bench to the manufacturing floor. "Invert Assist was designed with Invert's strengths: domain-specific expertise, deep industry knowledge, and AI-ready data," Permin adds. "That's why we are confident in describing it as the first AI system that is purpose-built for bioprocess."