Revvity, Inc. (NYSE: RVTY) has announced the forthcoming launch of Signals Xynthetica™ Models-as-a-Service (MaaS), a new AI-driven capability within the Revvity Signals platform designed to streamline molecular and materials discovery. The platform aims to help scientific teams move beyond traditional trial-and-error experimentation by embedding predictive AI models directly into laboratory workflows.
Integrating AI-Powered In-Silico Design with Experimental Validation
Artificial intelligence and machine learning are increasingly reshaping research across life sciences and materials science. However, many labs struggle to fully operationalize AI due to disconnected data systems and complex infrastructure requirements.
Signals Xynthetica is designed to bridge that gap by combining:
- De novo molecular generation
- Property prediction modeling
- Multi-objective optimization tools
- Direct integration with experimental (wet-lab) data
- Governance and data stewardship controls within a unified environment
By connecting predictive modeling with real-world experimental outcomes, the platform enables iterative design cycles where models continuously improve as new data is generated.
“AI has enormous potential to transform how molecules and materials are designed, but that potential is only realized when models are connected to real scientific workflows and data,” said Kevin Willoe, president of Revvity Signals Software. “The Signals Xynthetica platform is about operationalizing predictive science that brings in-silico design and experimental validation together in a continuous loop, accelerating discovery across industries.”
Models-as-a-Service Simplifies AI Infrastructure for Labs
Delivered as a Models-as-a-Service (MaaS) offering, Signals Xynthetica enables organizations to access and apply predictive AI models without building and maintaining complex in-house AI infrastructure. Models can be deployed consistently across projects, updated as new datasets become available, and evaluated transparently alongside experimental results.
For lab managers, this approach offers several practical advantages:
- Reduced IT and infrastructure burden
- Centralized governance for model usage
- Improved collaboration across research teams
- Scalable AI deployment without disrupting existing workflows
Revvity positions Signals Xynthetica as a cornerstone of its broader AI-augmented discovery strategy, emphasizing predictive power at scale while maintaining scientific rigor and data integrity.
Pre-registration is currently underway, with early access programs expected in the first half of 2026.
