Diagnostic tests miss up to 80% of their targets. Not because sensors are bad but because input samples are.
Every year, billions of diagnostic tests are run across food production, clinical labs, and water systems. The detection technology keeps getting better. But what actually goes into the test hasn't changed.
Culture-based confirmation takes 4–5 days for Salmonella. Over a week for Listeria. PCR cuts it to 12–24 hours but after 8–48 hours of enrichment. A cut melon has a two-day ship window. Most facilities release product before results come back.
Your team pulls a grab sample (25 grams out of thousands of pounds). If the pathogen is in the other 99.99%, your test returns "not detected." You're not testing the batch. You're testing your luck.
Process wash water instead of a grab sample. Detect <1 CFU/mL without overnight enrichment. Know before product ships, not four days after.
Average shrink rate for fresh produce at retail. $15 billion in unsold fruits and vegetables per year in the U.S. alone. You have no batch-level microbial data i.e. no way to know which shipments will hold and which will break down on the shelf.
Routing, pricing, markdown timing. All decisions made without microbial data. High-load and low-load batches get the same shelf allocation, the same timeline. You're managing spoilage reactively instead of preventing it.
Microbial load data per shipment for the first time. Route high-load batches to faster channels. Price and markdown with data, not guesswork.
Smear microscopy, used as a diagnostic for two-thirds of global TB cases, returns nothing below 10,000 organisms per mL. Culture detects 100. That 100× gap means half of all TB cases are missed on the test most of the world relies on.
Blood cultures need 24–72 hours of incubation. Candida species can take 80 hours. Sepsis mortality increases 7% for every hour of delayed appropriate therapy. The pathogen is there but not enough for a test to see.
The instruments keep improving - better optics, better PCR, better AI. But if the target isn't in the fraction you tested, or there aren't enough organisms to register, a better instrument doesn't help.
Same $2 smear, same microscope, same technician. Concentration bridges the 100× gap between smear and culture, catching the paucibacillary cases it used to miss.
Rapid biosensors need 10²–10⁴ CFU/mL to register signal. E. coli O157:H7 sickens at 10–100 cells. At the concentrations that matter, every rapid method returns zero signal without 24–48 hours of enrichment. You can't surveil what you can't see.
Wastewater surveillance detected H5N1 in Texas before clinical cases were reported proving environmental monitoring can outpace the clinical system. But pathogens shed into millions of gallons of flow. Without concentration, the signal drowns.
Concentrate pathogens from millions of gallons of flow into a testable volume. Turn wastewater surveillance from a lagging indicator into a real-time detection layer.
Our polymer surfaces capture specific target organisms as they flow past, concentrating everything into a single spot for testing. No pipetting. No enrichment. Works with your existing detection equipment.
A microscopy slide with our polymer built in. The cap concentrates all organisms into a designated spot. Your technician finds them in seconds instead of scanning for minutes. Fits into existing workflows with no retraining.
An inline system that sits in your wash water or production line. It processes 100% of the entire batch within minutes. Feed the output into your existing PCR, culture, or microscopy. Same-day results before product ships.
Without enrichment, every major method fails at low concentrations. MagnaFlow produces signal in minutes.
CFU/mL · Log scale - lower is harder to detect · No enrichment for MagnaFlow
Having an impact in bio and health is more possible than ever. If you want to help shape the future of how the world detects disease and contamination, we want to hear from you.
[email protected] →It's easy to assume that with time, the right technology will reach everyone. That you just need more of what already exists. More testing platforms, more messaging apps, more AI. But confounders to hard problems ensure that more of the same doesn't solve them. Environment, politics, history, economics. Problems persist, people get left behind.
The opposite of more, then, is new.
We're solving for the current and future health of our communities and environments. Not just for zero-to-one, but for emergent phenomena. Drizzle is the great equalizer. So should be health.
Follow our progress as we build diagnostics that include everyone.