Innovation

Where medicine meets intelligence.

Chenvar publishes on the problems it builds against. The research and the engineering are the same enquiry approached from two directions.

Research areas

Six lines of work.

01

SaMD pharmacovigilance

Software as a medical device breaks the assumptions of classical drug safety. A model that updates weekly does not have a stable exposure. We work on what surveillance means when the product changes under the patient.

02

Continuous surveillance

Continuous biosensors generate signal that periodic reporting cannot represent. Our work on continuous glycaemic pharmacovigilance proposes a framework for it.

03

Clinical AI governance

Algorithm-change control, clinical validation strategy and where the clinician sits in the loop when a model contributes to a decision.

04

Regulatory intelligence

A versioned corpus of guidance across EMA, MHRA, FDA and CDSCO/PvPI, structured so that a rule can be traced to the document and version that issued it.

05

Safety in Indian markets

Biosimilar surveillance, phenotype-specific drug risk in South Asian populations, and the pharmacovigilance gaps that follow from applying Western reference data.

06

Post-market surveillance

Real-world evidence, literature surveillance and the evidentiary threshold at which a signal should change what a label says.

Get in touch

Tell us what you are building.

Partnership, pilot, procurement or investment — enquiries are read and answered by the founder, not a queue.