Summary
- Profile Type
- Technology offer
- POD Reference
- TOGR20251202014
- Term of Validity
- 2 December 2025 - 2 December 2026
- Company's Country
- Greece
- Type of partnership
- Commercial agreement with technical assistance
- Investment agreement
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- A Greek applied-neuropsychology consultant offers a technology for system-based behavioural assessment integrating artificial intelligence with cognitive modelling and Environmental, Social and Governance (ESG) indicators. The solution provides real-time analysis of human and organisational functioning. The Greek company seeks research, commercial and investment partners for co-development, localisation and scale-up.
- Full Description
-
Modern organisations face increasing complexity: fragmented communication, declining cohesion, poorly aligned governance structures and rising rates of cognitive load, stress and chronic health conditions among employees. These factors directly affect performance, decision-making and Sustainable Development Goal (SDG) outcomes, as highlighted in organisational psychology research on ESG frameworks. At the same time, ESG data are often incomplete, qualitative or difficult to interpret. Current tools are static, rely on self-reporting and rarely integrate human behaviour patterns into ESG performance.
Existing ESG assessment technologies focus on compliance (e.g., reporting standards, financial indicators), but seldom analyse human-centred or behavioural dimensions. Recent advances in neurosymbolic artificial intelligence allow structured reasoning and deep-learning-based pattern recognition to be combined to extract meaningful ESG insights from large datasets. However, these tools are primarily designed for investment analytics and not for organisational development or wellbeing.
To address this gap, a Greek organisation active in applied neuropsychology, behavioural analytics and organisational sustainability has developed a technology that combines cognitive-behavioural assessment with artificial intelligence to support organisations seeking to understand and improve their environmental, social and governance (ESG) performance. The proposed technology integrates three components: Cognitive-behavioural modelling: validated psychological tasks and questionnaires capture indicators of attention, decision-making, stress patterns, communication styles and behavioural consistency.
AI analytics engine: a hybrid architecture inspired by neurosymbolic AI extracts patterns from structured and semi-structured organisational data. Techniques include concept extraction, behavioural clustering, change-detection models and interpretable sentiment-pattern analysis, similar to the methods used for socially responsible investing analytics.
ESG-aligned system mapping: the technology links behavioural indicators to ESG dimensions, environmental responsibility, social cohesion and governance clarity, consistent with evidence that human behaviour is central to ESG performance.
Outputs include real-time dashboards, early-warning signals of declining performance, behaviour-aware recommendations and longitudinal monitoring. The system supports private companies, public-sector organisations, educational institutions and municipalities.
The following partnership types are sought:
– Commercial agreements with technical assistance: required for co-designing domain-specific modules, adapting training content and integrating the technology into partner organisations.
– Research and development cooperation: required to refine the AI components, validate behavioural-ESG linkages and extend the system to different cultural and organisational contexts.
– Investment agreements: sought to build scalable infrastructure, advance the AI pipeline and support international deployment.
International cooperation is envisaged through joint pilots, shared datasets, co-developed system mappings and iterative refinement of explainable AI models. - Advantages and Innovations
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The technology introduces several specific advantages:
1. Behaviour-centred ESG analysis
Unlike existing ESG tools, it integrates behavioural and cognitive indicators (attention, communication patterns, stress-related decision-making) with organisational data. This aligns with findings that ESG performance depends on human behaviour and culture at all levels of the organisation.
2. Neurosymbolic-inspired AI processing
Based on methods described in neurosymbolic ESG analytics concept parsing, sentiment logic, explainable clustering and aspect extraction, the system can interpret behavioural-ESG connections with higher transparency and interpretability than black-box models.
3. System-level mapping and early-warning detection
The solution detects communication breakdowns, workload imbalance, loss of cohesion and governance inefficiencies as they emerge, using change-detection algorithms and pattern-variance analysis.
4. Multi-domain applicability
It can be applied in organisations, schools, municipalities and community programmes to enhance sustainability actions, workforce well-being, governance clarity and inclusive practices.
5. Compliance-ready and privacy-by-design
The technology aligns with European data-protection standards and employs minimal data, encrypted processing and transparent feedback mechanisms.
These features make the offering suitable for partners needing a scalable, explainable and human-centred ESG-aligned assessment technology. - Stage of Development
- Concept stage
- Sustainable Development Goals
- Goal 10: Reduced Inequality
- Goal 9: Industry, Innovation and Infrastructure
- Goal 8: Decent Work and Economic Growth
- Goal 3: Good Health and Well-being
- Goal 13: Climate Action
- Goal 11: Sustainable Cities and Communities
- Goal 17: Partnerships to achieve the Goal
- Goal 5: Gender Equality
- Goal 16: Peace and Justice Strong Institutions
- IPR status
- No IPR applied
Partner Sought
- Expected Role of a Partner
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Commercial agreement with technical assistance:
Partners should support adaptation of the technology to local organisational structures, contribute domain-specific knowledge (e.g., HR, education, public administration), and assist with user onboarding. Experience in organisational assessment, sustainability programmes or behavioural training is desirable.
Research and development cooperation:
Research partners should contribute expertise in artificial intelligence, behavioural analytics, organisational psychology or ESG metrics. Joint roles include data integration, pilot design, model validation, cross-cultural testing and development of new behavioural-ESG indicators.
Investment agreement:
Investment partners should provide financial resources to expand the AI infrastructure, support computational scaling, build secure cloud environments and facilitate international deployment. Familiarity with impact investing or sustainability-aligned technologies is an advantage. - Type and Size of Partner
- R&D Institution
- University
- SME 11-49
- Big company
- SME <=10
- SME 50 - 249
- Type of partnership
- Commercial agreement with technical assistance
- Investment agreement
- Research and development cooperation agreement
Dissemination
- Technology keywords
- 11004 - Technology, Society and Employment
- 01003001 - Advanced Systems Architecture
- 01003003 - Artificial Intelligence (AI)
- Market keywords
- 02007016 - Artificial intelligence related software
- 02007021 - Other Artificial intelligence related
- 05010002 - Cognitive aid
- 02006004 - Data processing, analysis and input services
- Sector Groups Involved
- Aerospace and Defence
- Maritime Industries and Services
- Energy-Intensive Industries
- Proximity & Social Economy
- Creative Industries
- Digital
- Mobility - Transport - Automotive
- Retail
- Renewable Energy
- Tourism
- Health
- Electronics
- Agri-Food
- Construction
- Textiles
- Targeted countries
- All countries