Digital health · Prevention · Bonn / UKB
The warning that knows the patient, not the postcode.
Lat. monenda: that which must be warned of
A hot afternoon doesn't hit every patient the same way. For some, it's the medication they're already on that turns it dangerous. Monenda checks the day's environmental data against each patient's chart and only reaches out to the ones actually at risk, by text, signed by their own GP.
Ihre Praxis prüft
SMS
Ihre Praxis
The problem
One warning for a whole district. Every patient is different.
Extreme weather keeps getting more frequent and more severe, and the way we warn people about it hasn't caught up. A heat warning still goes out to an entire district at once, covers little beyond temperature, and has no way of knowing who is actually behind any given front door. What decides whether someone is in real danger is their health and what they're taking for it, not which postcode they happen to live in.
We're building this for GP practices and care providers, plus the statutory insurers whose Hausarztverträge already budget for exactly this kind of preventive outreach.
19,000
hospital days
more admissions on an average heat day in Germany
Karlsson & Ziebarth
+31.5%
cost rise
in dehydration-related hospital costs since 2010
Günster et al., 2010–2019
11,900
heat deaths
recorded by the RKI, already past week 30 of 2026
RKI, Wochenbericht Hitzemortalität
It's patients over 75 with heart or lung conditions who bear the brunt of this, patients any GP practice can already identify from its own records.
The method
Four checks stand between the weather and a warning.
Built on the DWD's own open data.
Heat, UV, pollen and air quality, pulled straight from Deutscher Wetterdienst's public feed. Official, refreshed continuously, and free to use.
Built from what the practice already has on file.
Existing diagnoses, plus any medication known to raise heat risk. Nothing new to enter, nothing new for the patient to wear or carry.
Tuned to the patient, not the district line.
Put two patients on the same street on the same hot day, and only one might hear from us, because it's their own condition and prescription doing the deciding.
The practice has the final word.
Every trigger is a rule a GP can actually read, not a score nobody can explain. Nothing reaches a patient until the practice has signed off.
Deployment posture
GP sign-off required
Nothing goes out to a patient without a clinician reviewing it first.
Readable rules, no black box
Every trigger traces back to a rule the GP can inspect, never an opaque score.
EU-hosted
Infrastructure runs inside the EU from end to end.
Practice keeps control
Patient records stay with the practice. Monenda never holds them.
How it works
From open weather data to a warning the patient trusts.
01
Read
Every morning, the pipeline pulls fresh DWD data: heat, UV, pollen, air quality.
02
Match
That gets checked against what the practice already has on file: diagnoses, heat-risky medication, age, postcode.
03
Assess
A set of explicit rules decides whether this specific patient has crossed their own threshold, never a hidden score.
04
Confirm
The GP reviews exactly what triggered the alert and signs off before it goes anywhere.
05
Warn
A short text goes out under the practice's name, telling the patient exactly what to watch for that day.
More examples
Two very different risk profiles, one kind of warning.
Same mechanism, same plain SMS under the practice's name. No app required, either way.
COPD, air quality
PM2.5 from a winter inversion reaches deep into the small airways, and the lag between exposure and a flare-up can run several days, long enough for an early warning to still matter. Alerting every COPD patient would just be noise. Alerting the exacerbation-prone tail, with time to act, is the point.
Ihre Praxis prüft
SMS
Ihre Praxis
The team
We met at a hackathon. We haven't stopped building since.
The team formed at The Future of Health Hackathon at ETH Zürich, hosted by {her} (hercode). What started as a weekend build turned into a shared conviction to keep going. Between the four of us we cover the clinical read, the engineering, and financial oversight sharp enough to survive an audit. Two of us are PhD candidates who work with patient data as part of our day jobs, and we're spread across Germany, Italy and Spain.
Tired, but happy after 48 hours of building at the Future of Health Hackathon at ETH. From right to left: Gaspar Astorga Palma, Annalena Lange, Paul Johannssen and Marta Bolognini, with Camilla, a hackathon teammate who isn't part of the founding team.
Marta Bolognini, MD
CEO & Medical Officer
AI in Medicine (UniSR Milan). Clinical anchor.
Paul Johannssen, MSc
CTO
Full-stack / data engineer, PhD candidate.
Annalena Lange, MSc
COO
ML engineer, PhD candidate, University of Bonn.
Gaspar A. Astorga Palma, MSc
CFO
Business intelligence and big data. Audit and technology risk at KPMG, EY and VW Group.
Where this is headed
From concept validation to the first season pilot.
- Q4 2026 – Q2 2027
Prototype
Build the connector into practice systems and the rule engine behind it, get the MDR classification written up, and file with the G-BA Innovationsfonds.
- Summer 2027
First live pilot
Run a full season live in 3–5 GP practices, tracking how much more counselling actually reaches patients compared with today's manual process.
- 2028 – 2030
Scale
Move from free pilots to paid practice licences, add cold-weather and air-quality modules, then bring payers on board across HZV populations.
Get in touch
Building, piloting, or funding? Let's talk.
BD co-founder
For payer and GP sales.
Pre-seed funding
To take the prototype into its first season pilot.
Clinical pilot partner
A GP network or HZV insurer.