Technology

The company is an innovative French SME founded in 2020, specializing in the development of human-centered Artificial Intelligence. The company helps organizations succeed in their AI projects by focusing on human and organizational aspects, which are often the root cause of failures (85% of AI projects fail for non-technical reasons). With a multidisciplinary team comprising a CEO, a data scientist, full-stack developers, and experts in ethics and governance, Wassati combines: - Technological expertise: AI development, NLP, Machine Learning - Human expertise: Sociology, psychology, behavioral sciences - Regulatory expertise: GDPR compliance, AI Act, privacy-by-design - Technology Offering: Enga.ia  Wassati has developed Enga.ia, a deep emotional artificial intelligence that represents a technological breakthrough compared to traditional sentiment analysis tools. Key Differentiation: Unlike conventional tools that simply classify emotions into basic categories (positive, negative, neutral), Enga.ia seeks to understand why people feel what they feel. The technology uses a unique three-dimensional approach: - Dimension 1 – Emotions: Identification of the full spectrum of human emotions (joy, fear, frustration, trust, etc.) - Dimension 2 – Root Causes: Analysis of the underlying causes of emotions (values, beliefs, fears, past experiences, social norms) - Dimension 3 – Value Circles: Mapping of emotions and their causes across 4 concentric levels:  Individual: Personal needs, individual aspirations  Family: Family dynamics, close group security  Societal: Civic values, justice, community engagement  Planetary: Environmental concerns, global well-being Technical Architecture:  Enga.ia is built on a modular and extensible architecture:  Deep Cause Analysis Engine: Uses NLP, Machine Learning, and Knowledge Graph to identify root causes  Value Circles Framework: Multi-level aggregation and clustering to understand collective dynamics  Privacy-by-Design Architecture: GDPR and AI Act compliant, with mandatory anonymization and consent  Impact Metrics: Impact metrics beyond traditional KPIs, inspired by Gross National Happiness (GNH)  Technological Maturity:  Currently: TRL 3-4 (Proof of concept validated in laboratory)  Target: TRL 6-7 (Demonstrator in operational environment) Advantages and innovations Technological Advantages: 1. Disruptive: Goes far beyond surface-level sentiment analysis to access the root causes of emotions 2. Scientifically Grounded: Based on 15 years of research in sociology, psychology, and behavioral science 3. Unique: Proprietary 'Value Circles' framework as a key differentiator 4. Extensible: Modular architecture enabling integration of new data sources (voice, video, biometrics) 5. Multilingual: Capable of processing multiple languages and cultural contexts Ethical and Regulatory Advantages: 1. Privacy-by-Design: Designed from the outset to respect privacy 2. GDPR Compliant: Full compliance with European data protection regulations 3. AI Act Compliant: Aligned with EU AI Act requirements (including the prohibition on employee emotion detection) 4. Transparent: Built-in explainability and interpretability 5. Ethical: Developed with the participation of ethics and governance experts Commercial Advantages: 1. Growing Market: Increasing demand for human-centered and responsible AI 2. Multiple Use Cases: Applicability across numerous sectors and contexts 3. Established Partnership: ITEA consortium with renowned European partners 4. Secured Funding: European Commission support via ITEA 4 5. Experienced Team: Founders and team with recognized expertise Technical Specification or Expertise Sought The company is seeking international partners to accelerate the development and expand the reach of its Enga.ia technology. Two types of partnerships are sought: 1. Research & Technology Partners Objective: Collaborate on the R&D roadmap, explore new use cases, and co-develop complementary technology building blocks. Ideal Profile: • Universities specializing in AI, NLP, social sciences, psychology, sociology • Public or private research centers in AI, human behavior, social sciences • Companies with strong R&D capabilities in AI, software, or application sectors (healthcare, security, mobility) Expected Contributions: • Expertise in specific domains (advanced NLP, multimodal detection, cultural adaptation) • Access to data for validation and training • Scientific publication capability and academic dissemination • Participation in defining use cases and the technology roadmap Benefits for the Partner: • Access to proprietary and patentable technology • Opportunity for scientific co-publication • Potential funding through European projects (Horizon Europe, Eurostars) • Positioning as a leader in human-centered and responsible AI 2. Commercial Partners Objective: Integrate and distribute Enga.ia technology across various markets and application domains. Ideal Profile: • Consulting firms in digital transformation, HR, strategy, innovation • Software vendors in CRM, HCM, analytics, customer experience • Service providers in marketing, market research, engagement, governance • System integrators capable of deploying and customizing the solution • Large enterprises with ambitions to internalize the technology Expected Contributions: • Identification of market opportunities and customer needs • Adaptation of the solution to specific contexts or sectors • Integration into existing product/service portfolios • Customer relationship and support management • Marketing and distribution Benefits for the Partner: • Access to differentiating and patentable technology • Enhanced value of existing offerings • Positioning as an innovator in human-centered AI • Growth opportunities in new market segments • Potential additional revenue through licensing or distribution Stage of development Available for demonstration Sustainable Development Goals Goal 17: Partnerships to achieve the Goal Goal 3: Good Health and Well-being Goal 11: Sustainable Cities and Communities Goal 9: Industry, Innovation and Infrastructure Goal 16: Peace and Justice Strong Institutions Partner Sought Expected role of a partner The partner's role will depend on the type of partnership: For research partners: • Contribute specialized expertise in complementary domains (advanced NLP, psychology, sociology, application sectors) • Provide access to data for validation and training • Participate in defining use cases and the technology roadmap • Support scientific dissemination through publications and conferences For commercial partners: • Identify market opportunities and customer needs • Adapt the solution to specific contexts or sectors • Integrate Enga.ia into existing product/service portfolios • Manage customer relationships and support • Market and distribute the solution