Leading the Future of Scientific Innovation

Revvity Signals NEXUS Europe highlights advances in digital transformation for research laboratories

At NEXUS Europe 2025, the premier Revvity Signals Software User Conference, Revvity Signals brought together diverse users to share best practices and learn about the latest advances in digital transformation and the use of artificial intelligence (AI) in lab automation. Presenters from AstraZeneca, Flamma Group, Lundbeck, Axxam, FrieslandCampina, Givaudan, Calyxia, and Merck KGaA shared their experiences implementing and using the Signals platform in a wide range of industries, including pharma and biopharma, flavors and fragrances, food, electronics, and advanced materials.

Revvity Signals is a valuable partner on these journeys, facilitating implementation of advanced data management tools that free up scientists’ time, provide new data analytics capabilities, and accelerate the path from data to insight.  At each company, from large to small, Revvity Signals increased collaboration and efficiency for their research and development teams, and set the stage for even greater innovation as these organizations continue their digital transformation. And as AI technology continues to develop at an unprecedented rate, Revvity Signals has a vision to stay at the forefront by harnessing these tools, which have the potential to shape the future of discovery research and clinical research informatics.
 

Leading the Transformation of Knowledge Capture and Communication

Signals Notebook™ from Revvity Signals is an industry-leading, cloud-native electronic lab notebook (ELN) that provides a centralized platform for knowledge capture and collaboration. The ELN integrates seamlessly with a wide range of software used in lab data handling and communication. This includes  ChemDraw,™ the gold standard for chemical communication, which enables scientists to digitally communicate chemical structures and reactions, and is natively integrated into Signals Notebook.

At this year’s NEXUS event, Revvity Signals celebrated the 40th anniversary of ChemDraw and highlighted its evolution since its introduction in 1985. Key milestones include its integration into CAS SciFinder® in 2014 and the addition of Hierarchical Editing Language for Macromolecules (HELM) in 2017, which allows scientists to draw more complex biological structures. In 2024, Revvity Signals began offering a cloud-powered version of ChemDraw : Signals ChemDraw. With Signals ChemDraw comes ChemDraw+, an application that allows you to create and access chemical drawings anytime, anywhere, in a secure environment using a web browser. Signals ChemDraw also saves time by allowing scientists to easily find hidden chemical drawings anywhere in their folder hierarchy, and easily reuse or modify a copy of the drawings.  

More recently added Advanced HELM features allow easier and more accurate representation of new drug modalities, such as peptides, oligonucleotides and antibody drug conjugates. In a presentation at the 2025 event, AstraZeneca described how its team collaborated with Revvity Signals on some of these features, which are critical to AstraZeneca’s development of new biopharmaceutical modalities.

Figure 1:  Signals ChemDraw offers a set of advanced tools that significantly facilitates the representation, modification, and annotation of complex biomolecules
 

Vision for Signals One

Signals One is taking the great features of Signals Notebook—experimental capture, interfaces and integrations, inventory management, and material management and registration—and adding data intelligence, including structured data handling, Signals analytics, structure-activity-relationship analysis and decisioning, and AI enhancement.  The data intelligence capabilities of Signals One are extending Signals Notebook to support the entire Design-Make-Test-Decide lifecycle in R&D.

This expansion includes increasing the system’s capabilities for advanced data processing, analytics, and visualization—capabilities that will only increase with the growth of AI technologies. With such advanced tools, the intelligence gained from the data that has been effectively captured and structured in Signals Notebook can support faster decision-making, ultimately leading to accelerated innovation. Indeed, this is the vision for Signals One™—to be a comprehensive, market-leading, rapidly expanding, software-as-a-service (SaaS) data intelligence platform built on the pillars of Signals Notebook.

Over the past year, Revvity Signals has also added two levels of advanced analytics and visualization. For routine use, Signals One includes native analytics to perform tasks such as in vitro, in vivo, and group comparisons. For more advanced needs, Signals One provides natively integrated Spotfire, for developing assays and other advanced needs.

“We can support virtually any kind of data processing you might want to do. The guiding North star goal is to make the user experience as intuitive as possible.” —Dan Weaver, Director Product Portfolio, Revvity Signals Software
 

Driving Lab Execution with Signals Labgistics

Another new solution in the pipeline for  Revvity Signals is to support execution of complex scientific workflows with Signals Labgistics. This new product, which will be developed over the next few years, begins with the ability for users to create an open-ended workflow to define a process using AI. Users will narrate what they want to accomplish, and the AI model will generate a process.  

“We have understood that there is a need for additional tools that move beyond knowledge capture into really driving the execution in the lab.” —David Gosalvez, Chief Strategy Officer-Signals, Revvity Signals Software  

Figure 2:  Revvity Signals plans to build on its platform for knowledge capture, creating a unified platform for lab execution in research and development as well as scale-up and manufacturing quality control and assurance.
 

Harnessing AI

Revvity Signals is leading the way in using AI to provide tangible benefits for its users. Generative AI and large language models (LLMs) can be used to write, summarize, and find and organize results. LLMs can also be used behind the scenes to make software more intelligent. For example, using semantic search, models can find patterns in experiment data to highlight something that has been missed in a report. These capabilities will be added to upcoming releases in Signals One.

Going beyond generative AI, Revvity Signals expects generative AI to have a big impact on scientific development by making virtual screening and in-silico design more accessible. AI-augmented discovery and design is beginning to be used in pharma, materials, and chemicals industries. The algorithms used in this design require curated data to feed into the models, including both private data collected in Signals One and public data.

“We think this is the way that more of discovery research is going to be done across all industries—with a much more comprehensive and expansive generative, in- silico AI design. And we believe we can help.” —David Gosalvez, Chief Strategy Officer-Signals, Revvity Signals Software  
 

Partner Ecosystem

Revvity Signals has developed a partner ecosystem with software from other specialist companies, which is integrated into the Revvity Signals solutions to provide additional value for users.

With LabVoice, an AI-enabled digital assistant integrated into Signals Notebook, scientists can use voice commands for tasks such as looking up procedures. Researchers can also scan sample barcodes or results, which the assistant uploads automatically into Signals Notebook. Another smart digital tool, the LabTwin digital voice assistant, uses voice activation to streamline users’ interactions with the Signals inventory and materials libraries.

Scitara DLX can act as an AI mediator to integrate APIs of different platforms, such as Signals and the Waters Empower® Chromatography Data System. The user interacts conversationally with the Scitara AI agent, which executes the tasks on the user’s behalf. The Revvity Signals team expects these AI-based technologies to advance rapidly.

Presenters from Merck KGaA and Scitara Corporation described how the Merck Electronics team deployed Scitara DLX to capture data from a wide range of analytical instruments and send it to Signals Notebook, for use in lab reports, as well as to a relational database, to be structured and defined with an ontology layer for further analysis in the company’s data analysis platforms.
 

Unlocking New Possibilities

The Revvity Signals team listens carefully to users to identify and anticipate evolving needs and to create innovative solutions that benefit the entire user community through an intuitive user interface with AI-based capabilities that enables laboratory scientists to work more efficiently, driving faster innovation. The Revvity Signals team is also looking ahead to how AI tools will transform discovery and design, and the team will continue to work directly with the scientific community to build specialized tools that meet their needs.

“Your [the users] passion has fueled our innovation. Your feedback guides how we improve our products. Your ambition is what pushes us to excel.” — Ralph Dioguardi, Chief Commercial Officer, Revvity Signals Software
 

Join the Journey

Revvity Signals’ offerings can be customized to meet a company’s needs for modernizing how labs work. Ongoing new releases bring the latest technology to users with easy updates and user-friendly interfaces to smooth the way.

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