Resilient infrastructure, mapped down to the person it protects
SEER is a resilience layer for critical infrastructure, built down to the building and the resident. It integrates block-level thermal and power exposure data with health records to identify who is vulnerable when heating, cooling, or grid service degrades, for care providers and public health authorities to act on.
Exposure
Passive survivability hours, block by block. How long a building stays inside a safe temperature range once heating or cooling service fails.
Vulnerability
Pflegegrad, medication, mobility, already recorded by the care provider. We rank by signal strength, not by guesswork.
Coupling
Exposure times vulnerability times service dependency. Every score returns the two or three features that drove it.
Numbers Speak
Extreme heat is already one of Germany's
deadliest weather-related risks, and one of the most under-reported in
official statistics.
Cold carries the same blind spot in reverse: failed
heating and cold snaps get even less attention, against the same vulnerable
residents.
Heat-attributable deaths in Germany, 2026 (through mid-July)
Deaths per 100,000 among ages 85+
Deaths per 100,000 among ages 65–74
Recorded as heat deaths on official records
Germany's KRITIS-Dachgesetz makes this a legal obligation, not a nice-to-have. It requires a risk analysis, a resilience plan, and registration with the BBK, due this month, for an estimated 1,300 operators of critical infrastructure.
Why this matters
Person, not postcode
Aggregate maps show you which neighbourhood is exposed. SEER identifies which resident inside it is actually at risk, because extreme weather doesn't affect a postcode, it affects a person.
Individual-level risk
Zero patient data at risk
The care provider sends a pseudonymous token with clinical features. SEER returns a score and the reason against that token. Only the provider's own system ever maps token back to person.
Privacy by design
Active case-finding
Built for the people already doing the outreach. Carers and nurses get a ranked list of who to check on — instead of waiting for a call for help.
Built for carers & nurses
Audit-ready
Every risk score is explainable and logged — ready for clinical governance, safeguarding reviews, and regulatory audit from day one.
Governance & compliance
Street-, record- and person-level
From a street segment down to an individual record, SEER resolves risk at every level of granularity your team needs.
Full-resolution granularity
Built for three different jobs
One resilience score, three views. Carers act on it, Bezirke plan around it, Kassen fund it.
Carers
A visit list reordered by risk, not by postcode. Fourth floor, lift out, extreme weather forecast, Pflegegrad 3, on diuretics. Works offline, syncs later.
Bezirke
Building-level risk down to Planungsraum. See every high-risk building with no registered care provider, the people nobody is currently visiting. Winter mode runs the same map cold-side, layered with heating type and energy debt.
Kassen
Cohort-level exposure across the insured population, with modelled avoidable admissions and the evidence base for prevention spend.
Our Team
Our team pairs three decades of clinical medicine and a public-health MPH from Imperial College London with AI research from BIFOLD Berlin, grounding every risk prediction in both frontline healthcare experience and rigorous data science.
Pao Ying Heng
Winfred S. Ooh-Azlin
Visit our offices at
Prenzlauer Allee
10405, Berlin, Germany