Evidence Sources

Public statement

Merck stated that Vence uses connected sensors, artificial intelligence and animal behavioural research, and described Vence as available in the United States.

What the source establishes

Establishes U.S. availability, virtual fencing, cattle tracking and movement management with AI references.

Interpretation

Directly relevant to boundary, zone, location and AI-reference elements within the Vence product family.

Public statement

Continuous monitoring using accelerometers and body temperature identifies outliers, generating alerts and lists of animals requiring assessment.

What the source establishes

Establishes distributed animal sensing with automated abnormal-condition identification.

Interpretation

Potentially relevant to sensor, anomaly-determination and alert elements.

Public statement

Collected data is used by machine-learning algorithms to identify cattle varying from baseline norms.

What the source establishes

Establishes machine-learning processing with baseline modelling — the strongest AI evidence in the review universe.

Interpretation

Potentially relevant to the AI event determination and machine-learning feedback elements.

Public statement

The app description describes advanced AI algorithms analysing outlier behaviour for individuals and groups.

What the source establishes

Extends the AI evidence from individual animals to group-level analysis.

Interpretation

Supports a dedicated AI evidence card for the Merck ecosystem.

Public statement

More than 2 million U.S. dairy cows were announced in August 2025 as monitored using SenseHub Dairy.

What the source establishes

Evidence of technology scale and U.S. adoption of the broader SenseHub platform.

Interpretation

Supports maximal U.S. deployment relevance for the broader platform.