BIQADX — The Intelligence for Smarter Healthcare

India-first diagnostic innovation — research to validation. Founded by Arun Kumar, West Delhi.

0Research & product programs
0Honest development stages
India-firstBased in New Delhi

From remote communities to central labs — and scalable solutions.

Step 01

Access challenge

Rural & community clinics lack near-patient testing — access stays limited.

Step 02

The sample journey

Samples travel to distant labs, maintaining integrity over days.

Day 1 · CollectionDay 2 · TransportDay 3 · Receipt
Step 03

Central lab: costly to scale

Central labs offer high capacity but are costly and hard to deploy everywhere.

Step 04

Scalable resolution

Decentralized diagnostics enable timely treatment, cost savings and healthier communities.

Cartridge-based testing

Prototype · R&D

Cartridge-driven workflows organise sample handling and controlled testing steps — the physical core of the platform.

AI-assisted interpretation

Concept · R&D

Assistive signal review and reporting support that helps clinicians — never a replacement for clinical judgment.

Quality-first checks

R&D

Result integrity, invalid-result handling and traceability treated as a core discipline from day one.

Cloud-connected reporting

Software · R&D

A planned data, reporting and analytics layer for future, validated diagnostic workflows.

Sustainability thinking

Sustainability · R&D

Lower-waste consumables and responsible material research carried across the portfolio.

Twelve programs.
One connected portfolio.

Full portfolio

Each program is a concept, research program, prototype, roadmap or future-validation direction — not a clinical, regulatory or commercial claim.

The BIQADX vision

Building the future of decentralized diagnostic intelligence.

One intelligence layer — reaching every point of care.

01ConceptIdea & thesis
02R&DDisciplined research
03PrototypeWorking builds
04RoadmapPath to scale
05ValidationEvidence & readiness

Evidence first, claims later — analytical, clinical and regulatory pathways mapped before any performance claim. AI stays assistive; the clinician always decides.

From the lab.

All updates