SENYRA is developing a portable molecular screening system that combines electrochemical sensing and machine learning to identify molecular risk signals directly within operational workflows.
Quality teams receive a clear Pass / Flag / Hold decision in under 10 minutes, helping them act while materials remain under operational control.
Most testing infrastructure is designed to deliver certainty. Operations need visibility sooner.
SENYRA combines hardware and machine learning software into a single system that helps quality teams identify potential issues before samples are sent to external laboratories.
Our first application focuses on a class of heat-stable contaminants that can remain present after standard processing. The long-term goal is a single platform that provides visibility across multiple quality-critical risks.
As new challenges emerge, additional targets can be introduced through software models rather than new hardware systems, enabling faster expansion and broader coverage over time.
Most testing workflows still depend on external laboratories, with results often arriving days after samples are collected.
Quality and safety requirements continue to increase as regulators introduce new thresholds and tighter controls.
Longer and more fragmented supply chains make earlier visibility increasingly important.
Understand potential risks before materials move further through production.
Run checks when operational decisions are being made, not only according to laboratory schedules.
Investigate, divert or hold materials while action is still possible.
Collect material during intake, receiving or routine quality control.
The system captures molecular signatures and analyses them using machine learning.
Receive a Pass / Flag / Hold recommendation in under 10 minutes.
Laboratories remain essential for confirmation, compliance and detailed analysis.
SENYRA adds an earlier screening layer that helps teams identify potential issues sooner and decide which samples require further investigation.
We are speaking with manufacturers, ingredient suppliers, laboratories and quality teams interested in earlier visibility across critical production workflows.
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