From Data to Decision: Why GraphMyTech Combines AI and Graph Theory

In a world where technical and scientific data is massive, heterogeneous, and increasingly interconnected, simply accumulating information is no longer enough. True value emerges from the ability to connect, structure, and interpret this data to guide action. This is exactly what GraphMyTech delivers: transforming raw information into strategic decision-making tools by combining artificial intelligence, graph modeling, and operational indicators.

Why Graph Theory?

Innovation doesn’t happen in silos. It thrives in interactions—between technologies, stakeholders, and disciplines. Graph theory models these dynamics by representing each element (publication, patent, technology, institution, skill…) as a node, and each meaningful relationship as an edge.

Where traditional approaches stack or segment information, graph-based analysis reveals unexpected connections, zones of convergence or disruption, and ecosystem dynamics. It enables:

• Analysis of the structural strengths and weaknesses of entire technology portfolios,

• Visualization of actor networks and knowledge flows across documents or partnerships,

• Identification of technological synergies and priority investment areas.

AI for Strategic Intelligence

On this relational foundation, GraphMyTech integrates hybrid AI components, combining semantic vector search, clustering algorithms, and generative AI for automated synthesis. This allows users to:

• Identify technology clusters based on document-specific features,

• Prioritize information based on strategic relevance,

• Conduct targeted searches across large, heterogeneous datasets,

• Automatically generate deliverables tailored to the needs of R&D, innovation, or strategy teams (summaries, dashboards, strategic briefs...).

Our semantic engine understands natural language queries, adapts to industry-specific contexts, and ensures full traceability of results.

A Technology Built from Real-World Needs

Our approach is not theoretical—it is field-driven. Co-designed with industrial leaders such as Safran, Michelin, and Saint-Gobain, and tested in real-world strategic cases, the platform is built to integrate seamlessly into operational workflows.

By combining AI and graph theory, GraphMyTech doesn’t aim to make abstract predictions. It aims to structure uncertainty, strengthen business-driven analysis, and accelerate the conversion of data into decisions.