All world models
World model · 05
Healthcare & Pharma

Decisions that determine who gets care.

Resource allocation in healthcare is not a logistics problem. It is an ethical decision wearing a logistics mask. Who gets treated, who waits, which treatments get funded, which trials get launched. Each decision shapes lives, sometimes ends them. The stakes demand discipline.

World model · Healthcare & Pharma

Helios Brain for Healthcare & Pharma.

Healthcare is the original domain of consequence. Every system, every policy, every protocol shapes lives. We bring the same discipline that aviation and surgery learned through hard experience: rehearse before commitment, document every assumption, never confuse confidence with correctness.

All world models
What this world model rehearses

6 decisions, tested before they are made.

01

Treatment protocol changes at population scale

Before updating clinical guidelines or formulary decisions, project the impact across patient populations. See who is helped, who is harmed, where the trade-offs land. Identify the unintended consequences that aggregate data hides.

02

Hospital network capacity planning

Test capacity allocation across facilities, specialties, and time. See where bottlenecks form under realistic demand. Identify the investments that improve patient outcomes versus those that look good in occupancy metrics.

03

Clinical trial design and recruitment

Simulate trial designs against eligible patient populations before launching. See where recruitment will struggle, where statistical power will fall short, where ethical concerns will surface. Adjust before commitments are made.

04

Pricing and access decisions

For pharmaceuticals and medical devices, test pricing strategies against payer mix, patient access, and long-term volume. Identify pricing that sustains research investment without abandoning patients who need the product.

05

Pandemic and public health response

Model intervention strategies against realistic epidemiological scenarios. Compare lockdown, vaccination, and treatment policies against their downstream effects on health, economy, and social trust. Decide with evidence, not panic.

06

Resource allocation under scarcity

When facing genuine scarcity. ICU beds, transplant organs, scarce medications. Test allocation frameworks against the populations they will be applied to. See the demographic and clinical patterns each framework produces. Make decisions that can be defended ethically as well as operationally.

Hands on · who runs this loop

Three desks, one substrate.

Chief Medical Officer
01

Sees who is helped, who is harmed.

Protocol changes projected across patient cohorts before deployment.

Outcome
Population-level consequence visible up front.
Head of Capacity
02

Catches bottlenecks before they form.

ICU, theatre, and pathway flows simulated under realistic demand.

Outcome
Investment routed to where outcomes actually improve.
Ethics & IRB Lead
03

Defends the allocation framework.

Every triage rule documented, every alternative compared.

Outcome
Decisions defensible ethically as well as operationally.
Compliance context

Built for the regulations that govern your sector.

01Medical Device Regulation (MDR) for clinical decision support
02EU AI Act high-risk classification for healthcare
03GDPR special category data protection
04Clinical trial regulation and IRB requirements
From the healthcare & pharma room

We rehearse the policy change in their model first, then walk into the credit committee with the full picture. The questions get answered before they are asked.

Chief Risk Officer·European Tier-1 Bank