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DryNight

Concept-stage medical device

A bladder alert before wet sheets.

DryNight is being developed as a lower-abdomen wearable and private wristband cue for children with nocturnal enuresis. The aim is to detect bladder filling early enough for a child, parent, or caregiver to act before moisture is detected.

Stage
Pre-prototype
First use case
Pediatric nocturnal enuresis
Near-term work
Signal feasibility and usability studies

Prototype direction

Lower-abdomen sensing, private haptic cue, caregiver alert only when needed.

Concept
DRYNIGHT
Lead signal
Ultrasound feasibility
Claim status
Not validated

Problem

Bedwetting is treated like a behavior problem. It is a timing problem.

Most household tools respond after moisture appears. That delay turns a medical and developmental issue into laundry, embarrassment, and interrupted sleep. DryNight starts from a narrower question: can bladder filling be detected early enough to give the child a private cue?

Current alarms detect wetness

Moisture clips are useful for some families, but they begin after urine reaches clothing or bedding.

The child often carries the burden

Cords, loud alarms, and repeated failures can make the child feel exposed instead of supported.

Caregivers need earlier information

A useful system gives a quiet signal before the event, not a louder signal after the damage is done.

Quantitative prevalence and market-size claims should be added only after primary-source verification.

Product direction

The first milestone is simple: detect filling early enough to act.

DryNight is being scoped as a soft lower-abdomen sensor, a child-worn haptic cue, and an optional caregiver alert. The product claim will only be earned after signal feasibility, usability, and clinical validation work.

  1. 01

    Study the signal

    Evaluate ultrasound and other noninvasive sensing methods against the practical realities of sleep, movement, skin contact, and body variation.

  2. 02

    Build the wearable

    Prototype a cordless sensor and wristband cue that a child can sleep with comfortably for repeated nights.

  3. 03

    Validate the threshold

    Test whether the system can distinguish bladder filling from noise early enough to wake the right person at the right time.

Product thesis

Measure bladder state, not wet fabric.

The starting technical hypothesis is that a lower-abdomen wearable can estimate bladder filling well enough to trigger a private pre-void cue. Ultrasound is the lead candidate because external academic work has explored abdomen-worn bladder monitoring, but DryNight will evaluate the best sensing path before locking hardware.

  • Pediatric nocturnal enuresis as the first product focus
  • Miniaturized ultrasound as the lead sensing candidate
  • Bioimpedance and other noninvasive signals evaluated in parallel
  • Cordless adhesive patch and private haptic wristband cue
  • Data minimization from the first prototype
  • Exploratory hardware conversations before partner claims are made
Bladder DryNight patch MEMS ultrasound Signal Volume
MEMS ultrasound Private haptic cue Data minimization

Current household tools

  • Cord-and-clip moisture alarms
  • Signal after wetness begins
  • Public sound in a private moment
  • Repeated cleanup after the event

DryNight thesis

  • Cordless lower-abdomen sensing
  • Signal before wetness begins
  • Private cue to child or caregiver
  • Design centered on dignity and sleep

Market focus

Start with the child who hides the sheets.

DryNight starts with pediatric nocturnal enuresis because the pain is specific, recurring, and poorly served by existing consumer tools. Adult incontinence remains a relevant expansion path, but the first proof point has to be narrow.

Primary market

Pediatric nocturnal enuresis.

The first user is a child who can sleep through a full bladder and a parent trying to help without shame. The initial product experience should be private, comfortable, and narrow enough to test rigorously.

Market signal
Families already buy alarms, mattress protection, and repeated workarounds
Validation
Bench testing, overnight usability, and pediatric continence input
Expansion market

Long-term care and aging.

The same type of early bladder signal could eventually support older adults and caregivers. That market has different workflows, liability, staffing constraints, and reimbursement questions, so it belongs after pediatric feasibility.

Market signal
Home care and long-term care once the signal is proven
Validation
Workflow interviews before committing to a care-facility study

Design standard

Not an alarm that tells a child he failed. A signal that gives him a chance.

Elvis Ndansi is building DryNight from a personal problem, but the company still has to meet the same evidence standard as any medical device.

Elvis Ndansi, founder, author, father, and the child who once hid the sheets.

Founder story

I wet the bed until I was twelve.

I grew up in Cameroon. My grandparents tried everything: raw okra, anthills, every remedy the village knew. Nothing worked. I stopped going to boarding school so no one would find out. I became the cleanest, most driven student I could be, because I was convinced no one could ever know what I was hiding at night.

Now my nine-year-old son wets the bed every night. His is more severe than mine. I refuse to shame him the way I was shamed. But the best alarms on Amazon still have cords, still detect moisture after the fact, still fail him.

So I started building what I wish I had. DryNight begins with my son, but the standard is broader: a child should not have to be wet before the system understands that help is needed.

Elvis Ndansi, Founder

Evidence status

The site should make clear what is known, and what still has to be proven.

DryNight is not presenting product performance data yet. The evidence plan starts with external precedent, hardware feasibility, usability, and then clinical validation. That sequence matters because investor confidence depends on the discipline of the claim.

Status

External precedent

Academic groups have explored abdomen-worn bladder monitoring and pre-void alerting. DryNight will cite specific publications only after each claim is verified against the primary source.

Evidence review in progress

Status

Sensor decision

Miniaturized ultrasound is the lead candidate, but the device architecture should stay open until bench testing compares signal quality, comfort, power, cost, and manufacturability.

Hardware path under review

Status

Regulatory posture

No diagnostic, treatment, clearance, or approval claim belongs on the site until regulatory counsel and clinical advisors have reviewed the intended use.

Not cleared or approved

Status

Clinical partners

The first partner conversations should focus on study design, family burden, usability, and the minimum evidence required before making commercial claims.

Partner with us

Team

A small team, with the missing seats named plainly.

EN

Elvis Ndansi

Founder & CEO

Founder of DryNight and author of Beyond Blames. He brings the lived experience, the book launch, and the urgency behind the first product question.

BT

Bryan Tegomoh, MD, MPH

Clinical and strategic advisor

Physician-epidemiologist supporting the clinical framing, evidence discipline, and early regulatory thinking.

Advisory roles we are actively recruiting

  • Pediatric urology (clinical lead)
  • Biomedical sensing and wearable engineering
  • Regulatory affairs (medical devices)
  • Contract manufacturing and supply

Technical conversations

Early and non-committed. Named partnerships should wait for signed agreements.

  • Wearable engineering Exploratory discussions for sensor architecture, form factor, and manufacturability.

Contact

DryNight is early. The right conversations matter now.

The useful next step is not a waitlist count. It is a focused group of parents, clinicians, engineers, operators, and investors who can pressure-test the product before the claims get ahead of the evidence.

  • Parents and families shape what "works" at 3 a.m.
  • Clinicians and operators help us design studies that matter
  • Engineers and researchers keep our technical claims honest

Investor inquiries should focus on feasibility, evidence plan, and the path to a defensible first prototype.

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