Revvity, Inc. has launched Signals AI, a new addition to its Signals One platform designed to enable scientists to search, understand, and act on complex research and development data using natural language. By leveraging leading large language model (LLM) capabilities, the tool aims to streamline data analysis and enhance decision-making processes in scientific environments. The introduction addresses the growing need for efficient data interpretation in R&D workflows as organizations generate increasing volumes of data across experiments and systems.

The platform utilizes governed data and an ontology-driven scientific context to support reliable and traceable results. This structure ensures that insights generated are accurate and can be audited across various applications. Grounded in structured scientific data, domain ontologies and validated scientific algorithms, Signals AI delivers traceable, scientifically relevant responses through natural language and interactive views of molecules, sequences, and experimental results.

A native agentic framework is a key component of the new solution, turning connected data and knowledge into task-ready insights for scientists. This framework allows for the automation of specific tasks and the generation of actionable intelligence directly from the dataset. The design focuses on reducing the manual effort required to derive value from large volumes of scientific information.

"The addition of the Signals AI capabilities within Revvity’s Signals One platform reflects a fundamental shift in how scientists work with R&D knowledge," said Kevin Willoe, president of Revvity Signals Software. "For decades, scientific software has organized information into predefined applications, workflows and dashboards. The new features Signals AI introduces provide a new model where researchers can engage directly with organizational knowledge, ask questions in natural language and dynamically transform information."

The launch represents an expansion of Revvity's capabilities within the Signals One ecosystem. By incorporating advanced AI tools, the company seeks to provide researchers with more intuitive ways to interact with their data. The solution is positioned to support a wide range of scientific disciplines by providing context-aware analysis. Select capabilities of Signals AI are available today, with additional capabilities expected to be released and enhanced in the coming weeks.