About Sinque

The scale tells you where you are.
We built something that tells you where you're going.

Sinque is the patient side of a quiet revolution in weight loss care — a way of monitoring behavior, not just biomarkers, so that progress becomes visible long before the number on the scale agrees.

The first principle

Daily weight is mostly noise. And we kept asking patients to trust it.

A weight reading is a snapshot. It is shaped by hydration, glycogen, the salt in last night's dinner, the hormones of the moment, and a dozen other variables that have nothing to do with whether a treatment is working.

Yet every weight-loss program in history has handed patients a scale and asked them to read meaning into it — to feel encouraged on a good day, defeated on a bad one, and somehow stay engaged for the months it takes for real change to appear.

Most patients can't. Two-thirds abandon their treatment within a year. Not because the medication failed. Not because they lacked willpower. Because the tool we gave them was lying every other morning, and the lies hurt more than the truth would have.

Sinque exists because someone needed to fix that.

What we figured out

Behavior is the signal.
Biology is the noise.

The thing that actually predicts whether a patient succeeds is not their weight today. It's what they're doing — how often they step on the scale, how they respond to a difficult week, whether they keep showing up when the dial doesn't move.

Read behavior, and you can see momentum before the number does. Read behavior, and you can spot disengagement before it becomes dropout. Read behavior, and you can give clinicians a chance to act while there is still time to act.

This is the principle the entire platform is built on. Everything else — the algorithm, the app, the dashboard, the way Sinque feels in your kitchen at 7am — flows from this one idea.

"What predicts a patient's trajectory is not their current weight. It is what they are doing — how often they engage, how they respond to a difficult day, whether they keep showing up."

— EW2Health platform principle

The technology

Predictive Behavioral Analytics.
A patented way of reading the person, not just the pound.

PBA is the engine inside Sinque. It is a machine learning model, patented by EW2Health, trained on something most health technology ignores: the behavior surrounding each measurement, not just the measurement itself. Here is how it actually works.

The first fourteen days

The model spends the first two weeks of every patient's journey doing something unusual: nothing visible. No trend arrows. No verdicts. Just listening. Daily weight fluctuates by half a kilo to two kilos for reasons that have nothing to do with treatment — hydration, glycogen, hormones, stress. Most algorithms ignore this and report the raw number anyway. PBA learns the shape of each patient's natural noise first, so that when it begins forecasting, it knows the difference between a real signal and a salty dinner.

Noise filtered, behavior surfaced

Once the baseline is learned, the model continuously separates biological variation from genuine behavioral change. A 1.2 kg jump after a heavy meal is recognized for what it is. A pattern shift over five days is recognized for what that is, too. The patient sees a trend they can trust. The clinician sees a story they can act on.

Fifteen days ahead

From there, PBA projects each patient's trajectory up to fifteen days into the future. Clinicians stop reviewing charts looking for problems and start reviewing who is at risk today — while there is still room to intervene. This is the difference between a clinic that reacts to dropouts and a clinic that prevents them.

PBA is a registered, patented analytics methodology developed by EW2Health B.V. — validated across more than 500,000 weight measurements and currently undergoing further validation through the Mayo Clinic Platform Data Accelerate program (2026).

What we built on

None of this is our science.
All of it informs our design.

The behavioral findings that shaped Sinque belong to decades of careful research by people more credentialed than us. We didn't invent these ideas. We built a product that finally takes them seriously.

Pillar one

The Ostrich Problem

People avoid monitoring information that feels threatening. A patient who senses they had a hard week often stops weighing in altogether — not because they have given up, but because the scale has become a verdict. Sinque is designed to remove that verdict. You see a trajectory, not a number. The threat dissolves.

Chang, Webb & Benn (2017)

Pillar two

Stages of Behavior Change

Behavior change happens in stages — and the right kind of support depends on which stage someone is in. A patient in maintenance needs stability cues, not motivation nudges. A patient drifting backward needs early support, not late correction. Reading behavior tells the clinical team which stage each patient is actually in, regardless of what the chart suggests.

Prochaska & DiClemente (1983)

Pillar three

The Self-Weighing Evidence

Regular self-weighing is one of the strongest known predictors of sustained weight management — when it does not become a source of shame. The clinical evidence is clear and consistent. The challenge has always been keeping patients engaged with the scale long enough to benefit. That is the engagement problem Sinque was designed around.

Michie et al. (2009); VanWormer et al. (2009)

What's next

Behavior tells you most of the story.
Sometimes, biology has something to add.

GLP-1 medication has shown the world that willpower is not the whole story. Biology pushes back. So while behavior remains the strongest signal we read, the next chapter of the platform adds two biological signals alongside it — for the moments when a patient is doing everything right and the weight still isn't moving.

Glucose variability

Working toward integration with continuous glucose monitoring (Roche), so the platform can see whether a patient's metabolism is responding the way it should — or whether something deeper is interfering.

Cardiorespiratory fitness

Working toward integration with VO₂max data (Garmin), to capture overall metabolic health as a third dimension alongside weight trend and glucose variability.

Together, these form the 3D biomarker model — a deeper view, layered onto everything PBA already does. Launching late 2026.

What we believe

The scale should not be a verdict.
It should be an instrument — quiet, accurate, and on your side.

Treatment should not depend on willpower alone.
It should be supported by technology that sees what's happening before things go wrong.

And a patient should never have to fight their care provider for attention.
Their data should already be there, waiting, telling the right story.

This is the standard Sinque is built to.

The company behind Sinque

Sinque is built by EW2Health.

EW2Health is a Netherlands-based health technology company building behavioral intelligence tools for weight loss care. The company partners with weight-loss clinics in the Netherlands, Brazil, and the United States, providing them with the analytics platform that powers Sinque on the patient side.

EW2Health's patented Predictive Behavioral Analytics technology has been validated across more than half a million weight measurements and is currently part of the Mayo Clinic Platform Data Accelerate program.

Want Sinque at your clinic?

Sinque is offered through partnered clinics. If you're a patient, ask your care team. If you're a clinic, we'd love to talk.

Find a partner clinic For clinics: book a demo →

The scale tells you where you are. We built something that tells you where you're going.