Our work spans five interconnected innovation areas — each addressing a distinct failure in the infrastructure medicine currently depends on. Hardware, intelligence, chemistry, and software, designed as one integrated architecture rather than separate products bolted together. Each area is at its own honest development stage; together, they form the design thesis of the entire company.
The shift
For a century, a diagnosis meant a sample sent away — to a distant lab, a costly chemistry, and a wait measured in days. BIQADX collapses that distance. The answer is computed where the patient is, in minutes, without the reagents that made testing a privilege.
It is not a faster version of the old model. It is a different model entirely — intelligence at the edge of care.
The old model vs. the new
A sample is drawn by a trained phlebotomist, labelled, packaged, and transported to a centralised laboratory. A pathologist or automated analyser processes it using expensive, calibrated instruments. The result returns hours or days later, if the patient returns at all. Every step requires infrastructure, training, logistics, and money. Every step is a point of failure.
A small sample — a fingerprick drop, a breath, a wrist reading — is collected by the person already closest to the patient. The platform reads multiple sensing modalities, applies on-device AI and quality gates, and delivers a structured result in minutes at the point of care, offline if necessary. No cold chain. No specialist operator. No distant laboratory.
This is not a faster version of the old model. It is a different model built on different first principles.
Capabilities
Perishable reagents are the single biggest obstacle to decentralised testing. They require cold-chain storage, careful handling, expiry management, and ongoing procurement. Our platform is being engineered to extract clinically meaningful information using physical measurement and computational interpretation rather than conventional wet chemistry.
A single biological sample carries many types of information — optical absorption and fluorescence, electrochemical potential, impedance, thermal response, and mechanical properties. Our platform is being designed to acquire multiple signal types simultaneously from one small sample.
The intelligence layer is part of the architecture from the start. On-device neural inference interprets multi-modal signals, applies quality-confidence gating, and packages outputs into structured HL7/FHIR-compatible formats — offline-first.
Every decision begins with the hardest deployment scenario: intermittent power, no trained lab technician, heat, limited consumables, and a patient who has already travelled too far. Ruggedness, simplicity, and affordability are first-order design constraints.
Results generated at the edge of care are designed to travel safely to the systems that need them. Zero-trust local computing, structured clinical output, and secure transmission turn point-of-care testing into public-health intelligence.
Our EcoLabware program is developing biodegradable, compostable alternatives across blood-collection tubes, specimen containers, cartridge housings, and PPE — anchored by patent application No. 202531060831, filed and under examination.
How we think
The experience
A single drop. No preparation, no chemistry to mix, no specialist required.
The platform reads many signals at once and interprets them on the spot.
A clear, actionable answer in minutes — ready to guide the next decision in care.
Built on trust
Reliability is not a feature we add. It is the first principle every instrument is designed around.
Where it's used
Advanced, multi-signal testing that slots into the workflows of hospitals and reference labs — without the wait.
Rugged, simple, and affordable enough for the rural and Tier 2/3 settings diagnostics has always struggled to reach.
From the wrist to the kitchen table, testing that begins before the clinic — quiet, private, and continuous.
Questions
It computes the answer where the patient is — reagent-free, multi-modal, and AI-native — rather than shipping a sample to a distant, costly lab. It is a different model of diagnostics, not a faster version of the old one.
The platform is designed for minimal training and a single, clear workflow — so trustworthy testing is possible in the hands already on the frontline.
Minutes, on-site — fast enough to guide the very next decision in someone's care, instead of a follow-up days later.
Affordability is a first principle, not an afterthought. By removing perishable reagents and designing for the realities of the last mile, we lower the cost of every answer.
Results travel securely from the edge of care to the institutions that need them — turning individual answers into population-scale insight, safely.