Digital twins · Forecasting · Greece first

A living copy of the real world. So you can see what's coming.

Kassandra Labs builds digital twins: data models of places, systems and societies that AI can run forward to test risks and outcomes before they happen.

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Scenario range, one variable over time
Illustrative
NOW RISK THRESHOLD
ObservedLikely rangeThreshold
What a digital twin is

Not a crystal ball. A model you can question, test and check against reality.

Fig 01 · Mirror

Copy the system

Combine open and partner data into one structured model of a place, a market or a population.

Fig 02 · Simulate

Run it forward

Change one input, such as heat, rainfall or turnout, and see how the rest of the system responds.

Fig 03 · Foresee

See the range

Get likely ranges with stated uncertainty and sources, not a single confident guess.

Use cases

Five areas where seeing ahead matters most.

/01Climate & disastersWildfire, flood, heat and earthquake scenarios for planners and responders./02Elections & societyModel how opinion and participation might shift, for research and public debate./03Migration & populationExplore ageing, movement and flows across regions and islands./04CitiesStreet-level temperature, traffic and service demand for municipalities./05Business & investmentStress-test plans and portfolios against changing conditions.
How it works

From raw data to a decision. Every step traceable.

Step 1

Data

Open public datasets plus partner data, checked and documented at the source.

Step 2

Twin

A structured model of the system and how its parts affect each other.

Step 3

Scenarios

AI runs many possible futures and shows the spread, not one answer.

Step 4

Decisions

Clear outputs for planners, researchers and investors, with assumptions shown.

How it works in detail →

Why Greece first

A country that lives with fire, flood, heat and earthquakes.

Greece packs islands, mountains, dense cities and seasonal populations into one territory. That makes it demanding to model and a strong place to start. We begin where we know the ground, then expand.

How many high-risk fire days could an island region see next summer?

Example
LowLikely rangeHigh

Where in a city will night-time heat stay highest during a heatwave?

Example
Block-level mapScenario A / B / C

How might a region's working-age population change over 20 years?

Example
TodayRange with uncertainty+20 years
Security principles

Research worth protecting. Built that way from day one.

Encrypted by default

Data encrypted in transit and at rest.

Least-privilege access

Each partner sees only their own project.

EU data, GDPR first

Personal data minimised and handled in line with the GDPR.

Full audit trail

Every dataset, model run and change is logged.

Read our security principles →

Research

Notes on twins, risk and forecasting.

Explainer

What is a digital twin, and why is Europe building one of the planet?

A plain guide to digital twins: what they are, how they differ from a map, and what the EU's Destination Earth shows about where they are heading.

Read →Climate & disasters

The 2023 Evros wildfire, and what a digital twin could add

In 2023 a fire in Evros, Greece, became the largest EU wildfire recorded since 2000. What it shows, and where digital twins can help planning.

Read →Forecasting

How to read a forecast: when "likely" is a number

Why good forecasts give ranges, how the IPCC turns words like "likely" into probabilities, and what research says about forecasting better.

Read →
The name
In the myth, Kassandra saw the future and no one believed her. We build foresight people can check, and so can trust.
Early access

Help shape the first twins.

Researchers, municipalities, public bodies and businesses: join the waitlist or apply to be a pilot partner.

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