Engine - Data-based modeling
Platform / Engine

Engine

The core that transforms data into executable models.

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What it does

Turns data
into a system model

Engine structures data into entities, relationships and behaviors to build a computational representation that can be simulated across multiple scenarios. It doesn't generate isolated components. It builds the complete system.

INPUT
EVENTS
RECORDS
APIs
PISCISENGINE
OUTPUT
ENTITIES
RELATIONS
RULES
Why it matters

Without a system model,
simulations are not reliable

01

Simplified models

Reduce the system to assumptions that don't reflect reality.

02

Manual dependency

Require weeks of adjustment by specialized teams.

03

Loss of structure

Data doesn't translate into behavior or dynamics.

How it works

Three steps. One executable model.

1

Connect

Ingests data from multiple sources without friction.

2

Structure

Identifies entities, relationships and relevant patterns.

3

Build

Generates a model ready for simulation, combining different approaches based on the system.

What changes

From static analysis
to an executable system

Engine automates model construction that previously required manual, fragmented processes. The result is less modeling time, greater consistency and rapid iteration capability.

5–10xFaster than manual modeling
30–50%Reduction in setup time
HighConsistency in system representation
MinimalDependency on manual tuning

Build your first model

Go from data to simulation in a single flow.

Request demo