Concentration layer
for the bio stack

Diagnostic tests miss up to 80% of their targets. Not because sensors are bad but because input samples are.

20×
More targets captured from any sample
<$0.50
COGS at scale per device
100K×
Below PCR detection threshold without enrichment
Sample
Collection
CONCENTRATION
THE GAP
Detection
PCR, culture, LFA
Result
& Data

Your tests are only as good as the sample going in.

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.

4–5 days

Your shelf life is shorter than your test

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.

25g

The sample that clears an entire lot

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.

Drizzle + Food Safety
Same-day results.
Full-batch coverage.
Today
25g sample
4–5 day wait
Ship blind
With Drizzle
All wash water
<1 CFU/mL detection
Results before release

Process wash water instead of a grab sample. Detect <1 CFU/mL without overnight enrichment. Know before product ships, not four days after.

11–13%

Spoilage you can't predict

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.

0 data

Every batch treated the same

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.

Drizzle + Fresh Produce
Batch-level
shelf-life prediction.
Today
No microbial data
Uniform routing
Reactive markdowns
With Drizzle
Load per batch
Risk-based routing
Predict, don't react

Microbial load data per shipment for the first time. Route high-load batches to faster channels. Price and markdown with data, not guesswork.

5,000

Bacilli per mL to get a positive TB smear

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.

1–100

CFU/mL in a bloodstream infection

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.

Same
bottleneck

TB. Sepsis. Candidemia. UTIs.

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.

Drizzle + Clinical Dx
20× limit of
detection improvement.
5,000
CFU/mL today
~250
CFU/mL with Drizzle

Same $2 smear, same microscope, same technician. Concentration bridges the 100× gap between smear and culture, catching the paucibacillary cases it used to miss.

10²–10⁴

Detection floor vs. infectious dose

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.

3–4 wks

Outbreaks identified at the hospital, not the source

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.

Drizzle + Biosecurity
Sub-1 CFU/mL
without enrichment.
10²–10⁴
CFU/mL detection floor
<1
CFU/mL with Drizzle

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.

Patented tunable polymers. Entire sample processed.

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.

MagnaSlide
Lab / Clinical
MagnaSlide

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.

MagnaFlow
Factory / Environmental
MagnaFlow

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.

Standard smear microscopy
Without Drizzle
Standard smear at 10,000 CFU/mL - Bacteria scattered are hard to locate.
MagnaSlide microscopy
With Drizzle MagnaSlide
Same sample - all bacteria concentrated into one spot. Easy to find, easy to count.

Data from the hardest samples in diagnostics

TB Diagnostics
60–100%
Performance increase for microscopy
  • 20x better target concentration from sputum
  • Same sensitivity as $25 PCR for $2/test
  • Performance cutoff improved from ~10K to ~500 CFU/mL
Wash Water : E. coli
<1 CFU/mL
Detection without enrichment
  • 63% sensitivity at <1 CFU/mL vs ~0% for all alternatives
  • Direct capture at upto 5L/min flow rate
  • 100% of wash water sampled vs <0.1%
  • 100,000x below PCR without enrichment
Typhoid from Urine
80%
Sensitivity (100% at ≥1K CFU/mL)
  • 88% specificity, LOD 500 CFU/mL
  • Demonstrated microbiological typhoid diagnostic from urine
  • Result in <20 minutes
  • Urine was considered unviable; pathogen loads too low

Orders of magnitude below existing methods

Without enrichment, every major method fails at low concentrations. MagnaFlow produces signal in minutes.

Immunoassay / ELISA
1,000,000
Smear Microscopy
100,000
PCR (no enrichment)
3,500
PCR (with enrichment)
10
MagnaFlow
0.03

CFU/mL · Log scale - lower is harder to detect · No enrichment for MagnaFlow

Backed By
Backed by Open Philanthropy, NIH NIBIB, Good Ventures, Halcyon, VentureWell, Acumen, Johns Hopkins, Bioengineering Innovation and Design, MassChallenge, National Academy of Medicine, Emergent Ventures, SAB Foundation

The members of Drizzle

Digvijay Singh
Digvijay Singh, MSE
Co-founder & CEO · Digvijay previously designed award winning consumer products and leads product, design, and commercialization at Drizzle.
Bonolo Mathekga
Bonolo Mathekga, MSE
Co-founder · Bonolo has a varied background in IVD consulting and leads engineering, clinical, and ops at Drizzle.
Akash Gupta
Akash Gupta
BD (India) · Akash did strategy and business development at Optum and Qure.ai, and is building out market access for Drizzle in India.
Annie Iniya
Annie Iniya, MS
R&D · Iniya is a biomedical engineer and is focused on research and development for upcoming products at Drizzle.
Munendra Singh
Munendra Singh
Manufacturing & Compliance · Munendra is a seasoned professional and is supporting all things manufacturing and compliance at Drizzle Health India.
Nancy Seaton
Nancy Jo Seaton
Food & Ag Advisor · Nancy brings in 30 years of experience in food safety testing industry with previous roles at Subway and Chiquita.
Hank Beitman
Hank Beitman
QMS · Hank built Quality Management systems at Imagen, Exact Sciences, Phillips and Becton Dickinson.
Yukari Manabe
Yukari Manabe, MD
Clinical Advisor · Yuka is a Professor of Medicine and Director at the CIDID at Johns Hopkins, with over 30 years in Global Health diagnostics.

Work with us

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.

Join our waitlist

Follow our progress as we build diagnostics that include everyone.