Decision OS for the Physical World

Every operational decision
has consequences.
We show their impact before they become reality.

Deceris transforms environmental data into a single model of reality, allowing you to predict events, simulate scenarios, and make operational decisions in advance.

See a demo on your data Start a pilot
SCENARIOS

You ask a question.
The system gives an answer.

Specific questions. Specific numbers. Actionable recommendations.

Crisis management

Question: "Where will the flood be in 72 hours?"
Deceris:
47 buildings at risk3 bridges to close2 pump stations in range
→ Evacuation recommendation with priorities and sequencing

Critical infrastructure

Question: "What happens if the levee breaks at km 12.3?"
Deceris:
2.3 km² flood zone890 buildings in range120M PLN estimated losses
→ Recommendation: reinforce section 11.8-12.7 km

Energy

Question: "What is the risk profile of our assets for the next 10 years?"
Deceris:
3 locations in high-risk zone+40% probability increase by 203545M PLN/yr estimated losses
→ Data ready for CSRD report with action priorities

Defence

Question: "Which routes are available for a heavy convoy?"
Deceris:
3 routes with trafficability parameters1 bridge with 20t load limit+45 min shortest safe alternative
→ Route recommendation by operational priority
WHY NOW

The physical world is no longer predictable.

+40%

Extreme weather events

Increase in extreme event frequency over the last decade. Historical models are failing.

60%

Aging infrastructure

Critical infrastructure in Europe is over 40 years old. Degradation outpaces repairs.

2026

Regulatory pressure

CSRD, ESG, flood directive - climate risk reporting obligations grow every year.

89%

Manual decision-making

Organizations managing critical infrastructure still rely on spreadsheets and phone calls.

The cost of one wrong decision is measured in millions.

DEPLOYMENTS

This is not a concept.
It's a conclusion drawn
from real work.

POC with IMGW

As part of our collaboration with the Institute of Meteorology and Water Management, we worked on predictive models for ungauged catchments - one of the most challenging problems in hydrology.

This experience made one thing clear: turning data into operational decisions is a challenge - not just in hydrology.

  • Working with real-world data spanning multiple decades
  • Modeling in catchments without monitoring stations
  • Integrating environmental data from multiple sources
  • Running scenario simulations based on operational data
72h Forecast horizon
25+ Integrated data sources
Real-time Operational simulations
HOW IT WORKS

Three steps from data to decisions.

01

Data integration

The system automatically combines satellite, hydrological, terrain, and infrastructure data into a single digital model of reality.

02

Physical world model

Based on connected data, the system builds an operational model of the physical world - with history, current state, and change forecasts.

03

Decisions

You ask a question - the system responds with a concrete decision. Based on simulations, scenarios, and recommendations, it tells you what to do, when, and in what order.

The user doesn't work with data - they work with decisions.

WHY US

The physical world doesn't have an operating system.
Until now.

A model, not a dashboard

We don't visualize data. We build a digital model of the physical world where you can simulate scenarios.

Decisions, not analysis

The system gives an answer: what will happen, when, and what to do. It doesn't leave the user with raw data.

Prediction, not reaction

72 hours of lead time is the difference between controlled evacuation and chaos. Between repair and disaster.

Test before you decide

You can test every decision in a simulation - see the consequences before they become reality.

FOR WHOM

A decision layer for organizations that operate in the physical world.

Crisis management

Crisis management centers, emergency services, civil protection

Infrastructure

Road, bridge, levee, and energy network operators

Energy & utilities

Network operators, energy companies, natural resource managers

Defence

Terrain analysis, geospatial intelligence, operational planning

Local government

Cities, municipalities, spatial planning offices, climate units

ESG & compliance

CSRD-reporting companies, insurers, funds assessing climate risk

IMPLEMENTATION

How implementation works

We can start with one region or one use case.

1

Data integration

We connect data sources - satellite, hydrological, infrastructure. Automatically, without manual collection.

2

Region model

We build a digital model of your operational area - with history, current state, and forecasts.

3

First scenarios

We run simulations on your data. You ask questions, the system gives answers.

4

Operational use

The system goes operational - continuous monitoring, forecasts, real-time recommendations.

See how Deceris works
in your area.

We can start with one region or one use case.

Start a pilot See a demo