Revvity unveils AI-powered Signals Xynthetica to accelerate molecular and materials design

Revvity unveils AI-powered Signals Xynthetica to accelerate molecular and materials design

By: IPP Bureau

Last updated : December 17, 2025 10:48 am



The Signals Xynthetica solution brings AI-driven in-silico generation, predictive modeling, and experimental validation into a single, governed environment


Health science solutions provider Revvity has announced the upcoming launch of Signals Xynthetica Models-as-a-Service (MaaS), a new artificial intelligence offering within the Revvity Signals platform designed to speed and strengthen molecular and materials discovery.
 
The Signals Xynthetica solution brings AI-driven in-silico generation, predictive modeling, and experimental validation into a single, governed environment, allowing scientific teams to iteratively design, test, and refine candidate molecules with greater confidence. 
 
By embedding AI models directly into scientists’ existing workflows, the platform aims to move discovery beyond trial-and-error experimentation toward predictive, data-driven design.
 
While AI and machine learning are reshaping life sciences and materials research, Revvity said their impact has often been constrained by poor integration with experimental data and day-to-day laboratory processes. Signals Xynthetica is intended to close that gap by directly linking AI predictions with wet-lab results, enabling continuous learning as new data is generated.
 
The platform will support a broad range of in-silico design approaches, including de novo generation, property prediction, and multi-objective optimization. 
 
Delivered as an AI MaaS offering, Signals Xynthetica allows organizations to deploy and govern predictive models at scale without the burden of building or maintaining complex AI infrastructure. Models can be reused across projects, updated as new data becomes available, and evaluated side-by-side with experimental outcomes.
 
“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.”
 
Revvity expects Signals Xynthetica to become a cornerstone of its broader strategy for AI-augmented discovery, helping customers apply predictive science at scale while maintaining strong governance, data stewardship, and scientific rigour.

Revvity Revvity Signals Signals Xynthetica in-silico generation predictive modeling

First Published : December 17, 2025 12:00 am