Beyond Intelligence – MEI Project description for the CIRAS Institute

Project overview

Beyond Intelligence integrates the MEI – Master Everything Intuition Method developed by Master Everything as a strategic analysis and future planning tool into the research, innovation, and technology projects of the CIRAS Institute. The MEI method expands established scientific and technological development processes with an intuitive cognitive in-depth analysis that reveals hidden connections, resolves development bottlenecks, and refines strategic decisions.

The project makes MEI technology and innovation services available to the CIRAS Institute and all current and future project partners.

Project goal

The goal of Beyond Intelligence is to integrate a novel, intuition-based form of project analysis and optimization into CIRAS research operations. This should significantly increase the quality, speed, and sustainability of technological and scientific developments.

The MEI method is used to:

• decode complex problems,
• reveal hidden influencing factors and structures,
• precisely validate technological development paths,
• derive innovation potential and future scenarios,
• identify development bottlenecks at an early stage and resolve them reliably,
• accelerate research and technology decisions.

Background

Technology and innovation projects are increasingly facing new challenges: increasing complexity, accelerated development cycles, and the need to make decisions under high uncertainty. Traditional scientific methods provide reliable data, but cannot capture all relevant factors at an early stage.

The MEI method complements this process by using intuitive cognitive analysis techniques that reveal deeper connections, hidden patterns, and future implications. The method has been developed over decades in the fields of perception research, intuition techniques, and applied cognitive methods.

Beyond Intelligence is the first to introduce this technology in a structured form to a research institute – as a meta-analysis tool for strategic project development.

Examples

Examples of projects that have been successfully optimized and accelerated using the MEI method – or where associated problems have been solved:

1. Communication: Increased productivity

At a customer with over 5,000 employees, communication was often unspecific and misdirected: We developed an adaptive guidance and control system to route inquiries to the right recipients with increasing transparency.

2. Technical problem solved

A high-tech company that also produces for Formula 1 had a time-critical manufacturing problem: We demonstrated that vibration was causing the adhesive used to break down – due to a transverse tensile force.

3. Ideas for airlines: Crisis management and visions for the future

For international airlines in the midst of the coronavirus pandemic, we analyzed the industry situation, employee workload, and competitive pressure: We developed a white paper with immediate measures for flight operations, phases of the crisis, optimal business models, milestones, and innovative ideas for manufacturers, airports, and global applications to lead the industry beyond the crisis into new profit zones.

4. Concept for Recruiting 2.0 developed

A customer from the financial sector had massive problems recruiting young talents: In a very short time, we delivered a coherent concept that helped the customer find suitable applicants and hire more new employees.

5. Learning to learn: Analysis for optimal learning methods

For an educational project aimed at improving learning quality, we analyzed the neurobiological foundations of learning: We integrated scientific findings from neurobiology, built a comprehensive model, and derived practical implementations from it to optimize teaching materials and maximize learning processes through motivation, structure, and neural states.

6. The future of electromobility: Milestones for the energy transition

For a project on sustainable mobility, we analyzed current challenges posed by fossil fuels and environmental pollution: We developed a handbook with 10 coordinated milestones, from taking stock of the current situation to collective change and technological conversion to innovative technologies such as hydrogen, fuel cells, and space energy, in order to promote sustainable and global transportation.

Methodology

The MEI method is based on three core components:

1. Intuitive in-depth analysis

Identifying hidden structures, patterns of influence, and systemic relationships within technological, scientific, or innovation-driven issues.

2. Bottleneck, risk, and scenario analysis

Identifying development bottlenecks, misconceptions, unplanned risks, and deriving possible future scenarios.

3. Precise recommendations for action

Concrete, immediately applicable ways to optimize, accelerate, or strategically realign a project.

This methodology is used in technology and innovation projects to validate decisions, identify unresolved core problems, and reveal critical project paths.

NEURONprocessor software for MEI projects

Another important milestone was the development of the NEURONprocessor software, which is specifically designed to support and optimize the application of the MEI method. The NEURONprocessor enables data to be collected, analyzed, and implemented in a structured manner—a unique tool that makes the MEI method even more effective.

Research and application fields

The integration of MEI is primarily aimed at areas with a high degree of complexity and innovation dynamics:

1. Artificial intelligence & automation

Optimization of AI models, decision-making structures, system architecture, and development processes.

2. Quantum and future technologies

Analysis of research directions, bottleneck identification, scenario development, and strategic alignment.

3. Innovation development & deep tech projects

Validation of new technological approaches, development of strategic future options, identification of disruptive potential.

4. Scientific research projects

Structuring, hypothesis clarification, project validation, and derivation of new research paths.

Expected impact

By integrating the MEI method, CIRAS will:

• Shorten development times,
• Generate new insights faster,
• Reduce risks and bad investments,
• Improve interdisciplinary decision-making,
• accelerate research and innovation processes,
• support its project partners with a unique tool for the future.

The method serves as an additional layer of intelligence – “Beyond Intelligence” – that goes beyond traditional methods and enables deeper insights.

Benefits for project partners

Partner institutions gain access to:

• individual MEI analyses for ongoing or planned technology projects,
• strategic future scenarios for innovation decisions,
• support in resolving complex bottlenecks,
• support in project validation and risk assessment,
• intuitive meta-perspectives that complement traditional models.

This gives project partners a significant advantage in terms of speed, clarity, and future-proofing.

Conclusion

Beyond Intelligence offers CIRAS and its partners a completely new tool for making complex scientific and technological projects more efficient, clearer, and more future-oriented. It bridges the gap between intuitive meta-analysis and scientific-technological development work, a new approach for the future of research.