AI-augmented platform for molecular and materials discovery

Revvity has unveiled Signals Xynthetica, a new AI-augmented design platform developed to support molecular and materials discovery by tightly integrating computational modelling with experimental data. Delivered as a models-as-a-service offering within the Revvity Signals platform, the system enables research teams to design, evaluate and refine candidate molecules within a single, governed digital environment.

Signals Xynthetica brings together in-silico generation, predictive modelling and experimental validation, allowing AI predictions to be continuously informed by real laboratory outcomes. This approach is designed to move discovery workflows away from trial-and-error experimentation toward more predictive, data-driven design, improving confidence in early-stage decisions.

The platform supports a range of discovery strategies, including de novo molecular design, property prediction and multi-objective optimisation. By embedding predictive models directly into scientists’ existing workflows, Signals Xynthetica allows organisations to apply and manage AI tools at scale without the need to build or maintain complex infrastructure, while ensuring transparency, governance and data stewardship.

Early access programmes are planned for the first half of 2026, positioning Signals Xynthetica as a key component of Revvity’s broader strategy to advance AI-enabled discovery across life sciences and materials research.

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