Revvity announced the introduction of its forthcoming Signals Xynthetica Models-as-a Service (MaaS) AI offering within the Revvity Signals platform. The Signals Xynthetica offering will enable AI-augmented molecular and materials design, and brings together advanced in?silico generation, predictive modeling and experimental validation within a single, governed environment that allows scientific teams to iteratively design, test and refine candidate molecules with increasing confidence.

Across life sciences and materials research, the application of Artificial Intelligence (AI) and Machine Learning (ML) is shifting discovery from trial-and-error experimentation toward predictive, data driven design. While powerful algorithms and models continue to emerge, their real?world impact is limited without tight integration with high?quality experimental data and the workflows scientists already use. The Signals Xynthetica offering is intended to address this gap by embedding models directly into the scientific context, connecting AI predictions with real wet-lab outcomes to drive continuous learning and improvement.

The Signals Xynthetica platform will support a wide range of in-silico design approaches, including de novo generation, property prediction and multi-objective optimisation. Delivered as an AI MaaS offering, it enables organisations to access, govern and apply predictive models without building or maintaining a complex AI infrastructure. Models can be used consistently across projects, refreshed as new data emerges, and evaluated transparently alongside experimental results.

“AI has enormous potential to transform how molecules and materials are designed, but that potential is only realiesd when models are connected to real scientific workflows and data. The Signals Xynthetica platform is about operationalising predictive science that brings in-silico design and experimental validation together in a continuous loop, accelerating discovery across industries.”

The Signals Xynthetica offering is expected to become a cornerstone of Revvity’s broader vision for AI-augmented discovery, enabling customers to harness predictive power at scale while maintaining strong governance, data stewardship, and scientific rigour. Pre-registration for customers is underway with early access programmes available in 1H 2026.