Complexity Explorer Services
Use computational models and advanced analytics to model complex, adaptive systems.
What is it About?
We use visual models, computational models and advanced analytics to help our customers to explore, redesign and transform the complex systems they are concerned with:
- their enterprises and it's ecosystem
- business models and markets
- organisations and IT-systems.
Who we Work For
Our clients are:
- Executives wanting to use computational models and advanced analytics to make better decisions about the future of their enterprise.
- Internal business modeling and enterprise analytics departments.
- Executives wanting to establish an internal modeling practice.
Our Approach
We use state-of-the-art technology to build computational models and analytical apps that help our clients to explore, re-design and transform their business.
What Are The Next Steps?
There are a number of ways you can get to know us:
- Join our Business Prototyping Toolkit Meetup, where we regularly talk about how to to build and run simulation models using System Dynamics and Agent-based Modeling. Read more …
- Book a computational modeling workshop. Our computational modeling workshops are designed to provide the jump start you need to become a computational modeling expert or to build an internal computation modeling practice. Read more…
- Book a complexity exploration lab. The goal of our Complexity Exploration Lab is to build a causal simulation model of your enterprise and its ecosystem, taking a "complex systems approach". Read more…
Our Customers
Our Service Offering
Your Challenge
Our Expertise
Our Services
Consulting
Engineering
Extended Workbench
Workshop
Our "Business Prototyping" Approach is Collaborative, Agile And Scalable
Business prototyping is about experimenting with new ideas and strategies in a risk free environment: to do this, we first build a "prototype" or "enterprise" digital twin" of your enterprise and its ecosystem.
We then use that prototype to explore the consequences of new business ideas, strategies and designs before realising them in practice.
Because all assumptions are encoded in the model and relevant data can be ingested in near real-time, our prototypes can be used to explore alternative scenarios on the fly and make automated decisions in real-time.
Our approach ensures that all stakeholders are involved right from the beginning: we start small, iterate fast and deliver results quickly.
Why Business Prototyping is Useful
Business prototyping is useful because it lets you capture complex situations in their entirety, using the right mix of qualitative and quantitative models. You can then use those models to experiment with new ideas and strategies.
Check Out Our Work
Exciting projects that illustrate our work.
Our Partners
We have long standing partnerships with makers of tools for enterprise architecture, transformation management and enterprise analytics.
Let's Explore Complex Systems Together!
Please get in touch – we would love to find out whether our model-driven, analytical approach could be useful for the challenges you are facing.
Get In Touch
Oliver Grasl
Managing Director
Please get in touch with Oliver to discuss ideas of how we can help you explore your complex business ecosystem.
oliver.grasl@transentis.com
+4930800937050
Upcoming Events
BPTKSimulationPythonJupyterAdvanced AnalyticsReinforcement LearningBeer Distribution Game
Training AI to Play The Beer Distribution Game
Thursday, November 18, 2021 - 2 hours - English
How to use a simulation model to train AI to play the beer distribution game, using BPTK and a reinforcement learning approach.
BPTKPSFBusiness SimulationBusiness PrototypingGrowth Strategy
Modeling Growth Strategies For Professional Service Firms
Thursday, February 17, 2022 - 2 hours - English
In this meetup, we will tackle the problem of modeling growth strategies for professional service firms from a computational perspective, using the Business Prototyping Toolkit.
bptkReinforcement LearningSimulation ModelsPythonJupyterSystem Dynamics
Introduction to Dynamic Modeling With BPTK
Wednesday, May 18, 2022 - 18 hours - English
Learn how to build System Dynamics and agent-based simulation models using BPTK.
Featured Blog Posts
Read our featured blog posts and stay up to date with new technologies and best practices.
BPTKJupyterPythonSystem Dynamics
A Simple Python Library For System Dynamics
Oliver Grasl - Monday, October 1, 2018
Building System Dynamics simulations interactively in Jupyter using Python
BPTKSystem Dynamics PythonJupyter
COVID-19 And The SIR Model
Stefanie Schröck - Saturday, April 4, 2020
Exploring the COVID-19 pandemic using a simulation based on the SIR model
Advanced Analytics Agent Based ModelingBPTKJupyterPythonSystem DynamicsBeer Distribution Game
Training Artificial Intelligence to Play The Beer Distribution Game
Oliver Grasl - Sunday, May 31, 2020
