INNOLAB

Philosophical preamble: Spinoza and reasoned intuition

Innovation does not rest solely on rational analysis or empirical experimentation. Spinoza, in his Ethics, distinguishes three kinds of knowledge: imagination, reason, and reasoned intuition (scientia intuitiva). The latter is the highest form of understanding, making it possible to grasp the truth of a phenomenon immediately and as a whole, going beyond linear reasoning.

This concept today converges with Bayesian theories in statistics, where the probability of an event should not be seen as a fixed datum but as a continuous updating of knowledge, integrating new observations to refine predictions.

In a world dominated by data science and artificial intelligence, this approach is fundamental: reasoned intuition makes it possible to anticipate trends, detect weak signals and imagine future scenarios before they become obvious to others. This is the philosophy that guides Innolab, our strategic innovation laboratory, where we apply an abductive and predictive approach to anticipate and structure emerging markets.

Anticipating tomorrow's markets: the Innolab approach

In a hypercompetitive environment where companies must not only meet current needs but also anticipate those that will emerge, Intelligence in Life's Innolab positions itself as a unique research and innovation laboratory. It rests on two major methodological pillars: design thinking and an abductive scientific approach.

Our conviction is simple: arriving in a market at the same time as your competitors is already arriving too late. That is why we do not content ourselves with optimising existing markets: we work to predict and structure the markets of the future, those still unexplored, which will become tomorrow's Blue Oceans.

Abductive innovation: exploring the unknown

Unlike classic deductive and inductive approaches, which start from the known and extrapolate from it, abduction is an exploratory mode of reasoning that generates new hypotheses from anomalies or unprecedented observations. Inspired by the work of Charles Sanders Peirce, this approach is essential for:

• Detecting weak signals heralding economic and industrial change;
• Exploring unconventional solutions to complex problems;
• Creating disruptive business models based on unexpected correlations in data science.

In a world where AI and data are everywhere, understanding what others have not yet seen becomes a strategic asset.

Design thinking: turning ideas into market realities

Design thinking is at the heart of our approach. It is not merely a creativity method, but a rigorous strategy for exploring, prototyping and validating innovations. Our approach follows the principles of the double diamond in order to:

1. Observe and understand the real needs of users and companies;
2. Imagine unprecedented solutions, free from the constraints of the current market;
3. Test quickly and iterate to turn an intuition into a viable product or service;
4. Scale up and industrialise innovations by integrating AI and advanced information systems.

Hypercompetition and Blue Ocean markets

Our work builds on Richard D'Aveni's thinking on hypercompetition: in an environment where innovation cycles are accelerating and technology is upending established models, positioning yourself in emerging markets before they are identified becomes the key to success. This is what Kim and Mauborgne's Blue Ocean strategy describes: rather than fighting in saturated, ultra-competitive markets (red oceans), the aim is to create new strategic spaces where the company becomes the default leader by being the first to position itself.

Innolab plays this role by detecting unexplored market opportunities, drawing on AI and data science to make trends more reliable, and supporting companies in developing fully differentiated offers.