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Building the Structured Data Layer
Behind Hospital Hygiene.

Hospitals define protocols.
They measure outcomes.
Execution remains structurally invisible.

Hospitals monitor outcomes. They do not monitor execution.


Structured capture at the
point of execution

Protocol → Execution → Verification → Analytics


Continuous structured
execution dataset

Every environmental cleaning and disinfection action becomes part of a unified, structured dataset — recoverable, comparable, and analyzable over time.

Over time, this becomes a longitudinal environmental intelligence layer.


For the first time, execution and microbiological
evidence are structurally linked.

Execution data + Oversight events + Analytical evidence

0+
Million
people affected by hospital-acquired
infections annually
(U.S. + EU/EEA combined)
$0B+
estimated direct annual hospital costs
(U.S. CDC estimates + EU burden
estimates)
Sources: CDC HAI Prevalence Survey; CDC direct medical cost estimates;
ECDC Point Prevalence Survey 2022–2023; European Commission burden reports.

Validated in a real hospital environment.

HIGIA was deployed for 12 months at Hospital Basurto (Bilbao), one of Spain’s reference public hospitals, under the supervision of the hospital’s Preventive Medicine Department.

Deployment scale

  • 6 critical hospital areas
  • 200+ rooms structured
  • 50 devices integrated

Operational adoption

  • 150+ staff members
  • 44,257 structured execution events

Architectural validation

  • 12 months real-world deployment
  • Preventive Medicine Department supervision

As environmental regulation intensifies and AI
systems require structured operational data,
execution-layer infrastructure
will become mandatory.

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