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SIMTELLIGENCE

Discrete event simulation + AI

Explore what could change.
Decide what should.

Model how your operation works. Test “what if” scenarios. Find practical ways to reach your goals.

Simtelligence brings discrete event simulation and AI-assisted exploration together to support decisions about capacity, resources, and performance.

From questions to decisions

A model for the choices ahead.

Understand the system

Represent arrivals, queues, activities, and shared resources. See how timing, variability, and bottlenecks shape the outcome.

Ask “what if?”

Explore changes to demand, staffing, equipment, schedules, or operating rules before committing to them in the real world.

Start with a goal

Define the outcome you want—shorter waits, higher throughput, or lower cost—and compare the changes that might get you there.

An example question

“Can we reduce waiting time without adding capacity?”

A simulation can compare scheduling rules, resource allocation, and demand patterns. Repeated runs help show both the expected result and its variability.

AI can help frame alternatives and explain tradeoffs. The simulation tests them against the model’s assumptions; people decide which changes are worth taking forward.

Illustrative workflow. Results depend on the model, data, and assumptions.

The simulation platform

Model the flow.
Compare the change.

Healthcare · Contact centres · Public services · Ports · Logistics

Simtelligence.ai brings visual process modeling, scenario comparisons, and an AI shift advisor into an operations-planning workspace.

Start from a template, review its assumptions, and compare waiting time, throughput, and resource utilization across repeated runs. Results include means and 95% confidence intervals, with evidence available to export.

The demo includes recorded models. Live scenario exploration uses the platform’s sign-in or email flow.

Our focus

Research. Development. Services.

Research

Investigating how AI can help people build, question, and interpret discrete event simulation models while keeping assumptions and uncertainty visible.

Research questions →

Development

Developing approaches for AI-assisted scenario exploration and goal-driven experimentation, connecting human questions with reproducible simulation runs.

Our approach →

Services

Discuss a simulation study, a review of an existing model, or an AI-assisted workflow for your team. Start with the decision you need to make.

Explore services →

Start a conversation

What would you like to understand?

Tell us about your system, the decision ahead, and the outcome you want to improve. We can discuss where simulation and AI could help.

Email Simtelligence

[email protected]