Clinic infrastructure & RPM
CoachCare, Rimidi, HealthSnap. Track patients in clinical workflows — but analytics stay descriptive. They show now, not next.
CoachCare · Rimidi · HealthSnap
Investor opportunity · Seed round openPredict.
Predict.
Prevent.
Perform.
We are building the predictive infrastructure for the $1.5 trillion obesity care category — and we own the behavioral prediction space no one else owns.
GLP-1 medications have rewritten obesity treatment. But two out of three patients drop out within a year, and most regain the weight after stopping. The drug works. The behavior fails. Ew2health is the AI prediction layer that fixes the leak — already deployed, already revenue-generating, and validated in 30+ pilots.
The problem
A $1.5 trillion crisis with a leaky bucket at its center.
Obesity is the defining metabolic challenge of our generation — and the systems built to treat it are bleeding patients, revenue, and outcomes.
2B
people affected globally
$1.5T
annual financial burden worldwide
€10B
looming Netherlands healthcare bill
65%
patient dropout rate in obesity programs
Clinics invest heavily in patient acquisition, only to watch two out of three leave before achieving lasting outcomes. The financial impact is devastating. The clinical impact is worse.
The prediction gap
A fragmented market where no one owns prediction.
Obesity care today is built from disconnected categories of tools. Each captures part of the picture. None combine behavioral monitoring, predictive analytics, obesity specialization, and clinical deployment into one system.
The competitive landscape
Horizontal health platforms
Broad, disease-agnostic infrastructure aggregating data and third-party tools. No depth in obesity. No proprietary predictive layer.
Huma
Obesity clinics with internal tech
Care delivery built around in-house tools. Supports their own operations — not designed as scalable infrastructure for other clinics.
Enara Health · Knownwell · Alfie
Direct-to-consumer GLP-1
Patient acquisition and medication access. Lightweight, consumer-facing tech — not integrated into clinical workflows or predictive care.
Found · Ro
Wearables & biomarker platforms
Generate raw signals and trends. Don't translate data into clinical insight or predictive behavioral intelligence.
Withings · Garmin
Across every category, the same gap remains: no one combines behavioral monitoring, predictive analytics, obesity specialization, and clinical deployment into one system. That is the space Ew2health occupies.
The Ew2health stack
Three layers. One predictive infrastructure.
A patient-facing app, a clinic-facing dashboard, and a proprietary AI engine — designed to operate as one system, not three disconnected tools.
Layer 01 · Patient
Sinque — the behavioral health compass
An emotionally safe app that captures behavioral and weight signals 3–4 times per week, without judgment or shame. Patients stay engaged. Clinics get high-frequency data that allows them to personalize care.
Layer 02 · Clinic
The behavior radar dashboard
Real-time visibility into engagement, weight loss velocity, and dropout risk for every patient. Clinical staff see who needs attention, what to do, and when to act — before disengagement becomes departure.
Layer 03 · AI
Predictive Behavioral Analytics (PBA)
Our proprietary engine extracts behavioral signals from raw weight data, filters biological noise, and forecasts dropout risk before patients leave. The model improves with every patient — a flywheel competitors cannot start.
The defensible moat
Five layers of compounding defensibility.
This is not a feature set. It is structural defensibility — patented, validated, embedded, and self-reinforcing.
01
Patented prediction
US Patent 11,633,160 protects the method of forecasting weight trajectory from behavioral signals. A method patent, not a model patent — defensibility is structural, not cosmetic.
02
Signal extraction at scale
Proprietary algorithms transform noisy daily weight measurements into clean behavioral trends. Built on 500,000+ weight data points and growing. Trade-secret methodology refined with every patient.
03
Clinical decision layer
AI-powered triage tells clinics who to contact, what to recommend, and when to act. Raw data becomes prioritized action — the layer no competitor delivers.
04
Workflow lock-in
Once integrated, Ew2health embeds into daily clinic operations — intake, monitoring, intervention. Switching costs become structural the moment the dashboard becomes the workflow.
05
The data flywheel
More patients generate more data. More data trains stronger predictions. Stronger predictions drive better outcomes. Better outcomes attract more clinics. The loop compounds — and competitors cannot start theirs.
Compounding loop
Each layer compounds the next. Competitors cannot start the loop retroactively.
Strategic validation
Validated by the institutions that define the category.
Ew2health has been chosen by world-class healthcare and technology partners — at the highest standards of clinical and commercial rigor.
DATA ANALYTICS
Mayo Clinic Platform_Accelerate
First Netherlands-based startup selected for the Mayo Clinic Platform_Accelerate program. Building advanced predictive models against tens of thousands of GLP-1 treatment records — improving our analytics at the highest standard of medical excellence.
Real-world deployment
Petrobras Workplace Nutrition Program
Two pilots — Motiva (12 months) and MotivAÇÃO (6 months) — produced 7.34 kg average weight loss versus 1–1.5 kg in standard care, and 87% retention at 6 months versus a 20–50% benchmark.
Clinical research
Hospital Israelita Albert Einstein
Pilot deployment at one of Latin America's most respected medical institutions. The relationship continues as Ew2health expands its clinical research footprint.
Ecosystem partnerships
Roche & Garmin
Strategic integrations with Roche (CGM data) and Garmin (VO₂max wearables) extend our 3D biomarker architecture — and create deep ecosystem barriers competitors cannot easily replicate.
Working alongside
The expansion path
From clinics today to the global infrastructure layer.
Three customer horizons, each one larger than the last — and each one validated by what we already deliver today.
Now · 2026–2027
Medical weight-loss clinics
Our buying customer today. Active in the Netherlands and Brazil, generating recurring revenue, real-world clinical data, and the operational proof that anchors everything that follows.
NL · BR
Next · 2027–2029
Telemedicine, clinic chains, self-insured employers, pharmacies
Licensing the platform across networks. Expansion into the United States and United Kingdom, followed by Latin America. New customer segments where predictive infrastructure compounds value.
US · UK · LATAM
Strategic · 2029+
Pharma, medtech, wearables — global infrastructure
Ew2health becomes companion infrastructure for GLP-1 retention and the clinical-grade software layer for continuous diagnostics. India, China, Middle East. Strategic exit optionality with healthcare technology, pharma, and telemedicine acquirers.
GLOBAL
The team
Founder-led. Multidisciplinary by design.
A physician applying machine learning since 2023. A physicist with corporate scale experience at BCG and Cargill. An operator with international business expertise. The combination is deliberate — clinical credibility, strategic ambition, and operational discipline are all required to build infrastructure for a category.
Full team and bios on our about page.
Visit the about page →Investor access
We are raising a seed round to scale in Brazil and The Netherlands.
Request access for round size, terms, use of funds, traction metrics and the full financial forecast. The data room link is sent immediately and is valid for 30 days.