Your Journey to Enterprise AI Begins Here®


Adopting the right methodology is the key to a successful implementation of AI in the Enterprise. From requirements analysis to cognitive architecture, modeling, implementation, verification, and validation, we advise on key steps, proven patterns, and pitfalls in your Enterprise AI adoption journey.

About us   

Portfolio


What we do.

  • ... State-of-the-art AI Methods
    research
  • ... Nature Inspired Computing
    research
  • ... Cognitive Architecture
    research
  • ... Analysis and Business Architecture
    implementation
  • ... System Modeling and Design
    implementation
  • ... Cognitive Robotics
    implementation
  • ... Industrial IoT
    applications
  • ... Operational Decisioning
    applications
  • ... Complex Systems Control
    applications

Interested in working with us?

Ready when you are.

About


A passionate team of creative & innovative minds.

Who We Are

We are a passionate multidisciplinary team working toward Artificial General Intelligence (AGI).

Goals

Our goal is to use AI strategically to support your organizational goal of generating value and growth through innovation.

Our Approach

By the term 'mind,' I mean ideas and purposes.

Warren McCulloch in Why the mind is in the head?

Using an Agile approach, we analyze your current Enterprise Architecture, business processes, tasks, operational decisioning, and knowledge assets to develop insights into AI-based solutions. AI can help your organization achieve operational excellence and unleash blue ocean opportunities.

To help you keep pace with rapid innovation in AI, we continuously monitor and evaluate the latest promising research findings. We build enterprise cognitive capabilities that are human-centered and go beyond pattern recognition to ensure continuous learning as well as compliant, safe, and explainable business decisions. In particular, we integrate existing organizational and domain knowledge with Machine Learning algorithms; distinguish prediction from causal inference; and represent uncertainty in a principled manner. In addition to algorithm validation, we also perform formal verification of AI systems for safety, fairness, and compliance.

How are we different? We're not selling you specialized hardware, software, or cloud services. We are not committed to a single hyped up approach to AI. Rather, we start with the practical requirements of the task at hand and seek synergies between different state-of-the-art AI methods as required to achieve your business objectives. In addition, our interdisciplinary approach for solving complex problems in AI allows us to draw on diverse bodies of knowledge such as neuroscience, the cognitive sciences, the laws of physics, economics, and complexity science.

Leadership


Experience and wisdom.

joel amoussou

Maforikan Amoussou

Chief Technology Officer (CTO)

Mr. Amoussou completed a bachelor's degree in Physics with a Minor in Mathematics at University of Toronto. He has hands-on experience in software development, physics, AI, robotics, and autonomy R&D. His is involved in modeling and simulation (M&S), digital twins, and physics-informed machine learning.
sylvie dan

Sylvie Dan, TOGAF, PMP

Chief Operating Officer

Sylvie is an experienced and certified Business Analyst, Enterprise Architect, and Project Manager. She has hands-on experience in requirements engineering for AI-assisted software development, business process modeling, and agile methodologies. She has worked in healthcare, education, and government.

Services


The Cognitive Enterprise Transformation® methodology

We perform organizational, business process, task, agent, and system modeling using established standards. The outcome is a Cognitive Architecture which is well aligned with an overarching Enterprise Architecture and ensures continuous enterprise learning and explainable decisions.
We implement AI methods based on methodological rigor, model validation, and transparent reporting. We apply the "No Free Lunch Theorem" — the best performing algorithm for each specific task at hand. We represent uncertainty in a principled manner and distinguish prediction from causality.
We use proven open source AI frameworks, test driven development, and integrate AI capabilities into modern software architectural patterns (e.g., Microservices, Event Sourcing, the Actor Model, Reactive patterns, and real-time stream processing). We avoid Machine Learning technical debt and anti-patterns. We perform formal verification of the system for safety, privacy, confidentiality, and compliance.
We advise on building an Enterprise AI infrastructure leveraging the cloud, specialized hardware (TPUs and GPUs), and modern DevOps automation tools and practices.

Intelligence is the ability to avoid doing work, yet getting the work done.

- Linus Torvalds

Contact


Get in touch with us, for business or to submit your resume!

vidjinnagni@mindnetworks.com