VIA INNO aims to transform technological intelligence. Through our Research and Development projects, we work to design the technological intelligence solutions of tomorrow, providing analyses that are ever more relevant and tailored to the needs of decision-makers.
TO PARTICIPATE IN THE EVOLUTION OF TECHNOLOGY INTELLIGENCE PRACTICES
Our R&D Program – 3 Main Complementary Focus Areas
DATA AND TOOLS
In a world where data sources are diversifying and processing tools are multiplying, how can we find our way? How can we choose the right tools and use data effectively to meet information needs?
This focus area revolves around two key objectives: assessing the relevance of original data for analyzing and understanding innovation, and testing or developing new data exploitation solutions — notably through semantic techniques and artificial intelligence.
DATA MINING METHODS
Our philosophy: to fully harness the potential of multi-source data to uncover key insights about innovation.
The use cases for technological intelligence are expanding. Decision-makers in large companies are no longer the only ones leveraging it. New needs are emerging alongside the evolution of innovation practices (such as more responsible or open innovation).
This focus area centers on developing advanced data mining methods designed to address specific issues that currently lack established and reliable solutions.
Our mission: to innovate in analysis in order to provide tailored answers to complex challenges.
INNOVATION ANALYSIS
Understanding innovation is a complex endeavor. Fortunately, a vast community of researchers has specialized in analyzing this topic to shed light on its many dimensions.
This focus area aims to draw on insights from academic literature on innovation — analytical frameworks, concepts, hypotheses, and methods — and make them operational to enhance and refine our technological intelligence practices.
Our ambition: to turn theoretical knowledge into practical tools for better decoding innovation dynamics.
The different forms of our services
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Long-term research program within the framework of a multi-year collaboration
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One-off research service on a specific topic
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PhD or postdoctoral supervision/support
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Technology monitoring
Challenge: To have the ability to identify valuable, mature technologies in distant or overlooked fields that the company may neglect.
Our solution: An optimized data-mining method combining patent data, press data, and start-up information. -
Patent proximity
Challenge: To test and assess the performance of AI models in measuring the similarity or proximity between patents.
Our solution: Selection of four existing AI models and validation of their relevance through a structured evaluation protocol involving the company’s internal experts. -
Patent value
Challenge: To identify opportunities for patent valorization.
Our solution: A structured method based on patent citation analysis, using around ten easy-to-calculate indicators. -
Information system
Challenge: To contribute to the development of an efficient information system for a territorial decision-maker.
Our solution: Proposal of a framework for building such a system, taking into account both the types of information useful to decision-makers and the characteristics of the data to be collected. -
Evaluation of a new data source
Challenge: To determine whether a new dataset is useful for understanding innovation trends in a specific industrial sector.
Our solution: Development of a data evaluation framework to analyze availability, reliability, and usefulness—applied and demonstrated on the dataset under study. -
AI model for unstructured data processing
Challenge: To test the contribution of new AI models—particularly generative AI—in extracting key information from unstructured textual data, in order to better understand innovation.
Our solution: A case study on a topic of interest to the company, designed to explore the data-processing capabilities of several AI models, assess their respective limitations, and propose an effective method for their use.
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