Clinician-led
Product decisions are made by someone who has taken the ward round, not interpreted a requirements document about one.
Chenvar Healthtech Private Limited
Building Safer Healthcare for a Better Tomorrow
Healthcare technology and pharmacovigilance infrastructure built for regulated life-sciences environments, with scientific rigor, regulatory readiness and traceable operations at the core.
The platform
Medclariva
The safety record, end to end: the software a drug-safety function runs on, and the training that proves the people running it can do the work.
01
PV SuiteSafety operations
Case intake through signal detection, aggregate reporting and
inspection readiness. Multi-tenant, audit-logged, electronically signed.
In production
02
PV AcademyCompetency training
Case-based assessment scored on causality, seriousness,
expectedness and submission decisions — judgement, not recall.
Private beta
03
Free toolsOpen utilities
Browser-based ICSR extraction and E2B(R3) validation. No case
data leaves the machine.
Available
Why Chenvar
Built by a physician who ships the code.
Healthcare software fails on the details a specification never captures. Chenvar's products are designed and written by a practising consultant physician, which changes what gets built and what gets refused.
01
02
Regulated by default
Audit trails, electronic signatures and role separation are architecture, not a compliance module bolted on before an inspection.
03
AI with a clinician in the loop
Models draft and triage. A qualified human signs. We do not ship systems that put an unreviewed model output into a safety case.
04
Working software
Everything described on this site as in production is running code with a live database behind it. Nothing here is a concept awaiting funding.
Where medicine meets intelligence
Research is part of the work.
Chenvar publishes on the problems it builds against — the pharmacovigilance of software as a medical device, continuous glycaemic surveillance, biosimilar safety in regulated markets. The engineering and the writing inform each other.
- Pharmacovigilance for software as a medical device
- Signal detection and disproportionality analysis
- Clinical decision support and model governance
- Regulatory intelligence across EMA, MHRA, FDA and CDSCO
- Continuous glycaemic surveillance
- Real-world evidence and post-market surveillance
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.