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Digital network connecting business, technology and data systems.

Complex Systems Accelerating Research Teams

We are a computational research lab and consultancy that develops mathematical and computational models that can endorse, boost and accelerate research teams

We accelerate any
academic or private
research project

Reality Is More Than the Sum of Its Parts

Many phenomena emerge from complex systems: A cell, an organism, an ecosystem, a society, financial systems and even planetary or galactic systems.

 

Their behavior does not emerge from isolated components. It emerges from their interactions.

Feedback loops, redundancies, thresholds, nonlinear responses, environmental conditions and interactions across multiple levels can produce behaviors that are difficult to understand by studying one mechanism at a time. 

That is why experimental science or traditional research teams struggle and stagnate.

We build mathematical and computational predictive models based on real experimental data and connect these pieces into an integrated representation of the system to holistically understand, simulate and  generate useful predictions to accelerate academic or private research projects.

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We make it possible

The best consulting service made simple:

  • One price for everyone

  • Monthly subscription

  • Cancel  or Pause Anytime

  • Star today or book a free call

Monthly Sub

$2,500

Includes:


  • 1 project at a time

  • Deliverables: Models, simulation, reports with results, interpretations and advice

OUR SERVICES

Diverse solutions tailored to your every need

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Custom Mathematical Models

We develop rigorous mathematical and computational models around your research question, data and hypotheses.

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Simulations and Analysis

We use these models to explore system behavior, test scenarios and generate predictions.

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Research Consulting

We help your team define modeling strategies, interpret results and integrate systems thinking into your research.

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How we work

Interconnected digital nodes representing complex systems and business strategy.

1

UNDERSTAND

We define the research question, available evidence and desired outcomes.

2

MODEL

We translate the system into a rigorous mathematical and computational framework.

3

SIMULATE

We explore scenarios, interactions and possible outcomes.
 

4

ADVISE

We interpret the results and provide clear recommendations for your next research steps.

Who we work with

We work with research groups across all
scientific fields, including:

  • Biology and medicine

  • Physics and chemistry

  • Engineering and technology

  • Economics and finance

  • Social and political sciences

  • Environmental sciences

 

If your research involves a complex system, we can help you model, simulate and understand it.

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Frequently Asked Questions

  • We work with research questions involving complex interactions, feedback loops, uncertainty, nonlinear dynamics or multiple scales. This can include projects in natural sciences, medicine, engineering, finance, economics and the social sciences.

  • No. We can start from a research question, hypothesis, dataset, theoretical framework or existing body of evidence. We help determine what kind of model would be most useful.

  • Depending on the project, we can support:

    • Mathematical model development

    • Computational simulation

    • Network and systems analysis

    • Scenario and sensitivity analysis

    • Model refinement and validation

    • Research consultation

  • Our main focus is developing models around the specific structure and needs of each research project. Existing methods may be adapted when appropriate, but the work is not limited to applying generic templates.

  • Usually, we begin with:

    • The research question

    • Existing data or evidence

    • Current hypotheses

    • Known mechanisms or variables

    • The expected purpose of the model

    A complete dataset is not always required at the initial stage.

  • Yes. Models can also be built from published evidence, expert knowledge, hypotheses and qualitative relationships. The limitations and assumptions are made explicit throughout the process.

  • Some models can support prediction, but not every complex system is reliably predictable. Models are also useful for understanding mechanisms, comparing scenarios, testing assumptions and identifying influential variables.

  • Projects normally begin with a research consultation. We review the question, available information and modeling possibilities, then define the most appropriate scope and methodology.

  • The timeline depends on the complexity of the system, the available information and the intended level of detail. A focused consultation may be completed quickly, while a custom model may require several stages of development and refinement.

  • Costs are based on the scope, complexity, required methods and expected deliverables. After the initial consultation, we provide a clear proposal for the project.

  • Ownership, confidentiality, publication rights and future use are defined before the project begins. We can work under confidentiality or non-disclosure agreements when required.

  • Yes. We can work directly with researchers, laboratories, analysts, institutions or multidisciplinary teams. Our role can range from focused consultation to ongoing methodological collaboration.

  • The simplest first step is to describe your research question and the main difficulty you are facing. We can then assess whether mathematical modeling or simulation could provide meaningful value.

Research Institutions We Have Worked With

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