germinait, together with its scientific board and collaborators, has demonstrable expertise in the fields of Machine Learning, Optimisation, Planning, Agent and Multiagent Systems, Decision Theory, Game Theory, Mechanism Design and Agent Mediated E-commerce. We use this expertise in the development of products in a variety of application areas like supply chain planning and management, stock and commodity trading, online advertising and personal financial planning.

In the field of supply chains, we are focused on two categories of products: supply chain planning products and supply chain management products. For the first category, we will bring to bear our expertise in optimisation, planning under uncertainty and machine learning to design optimal supply chains. Our second category of supply chain products will utilise agent-based technologies for detecting disruptions in the various parts of a supply chain and for suggesting repairs.

In the field of stock and commodity trading, we are developing intelligent agents that will advise a user on what commodities and stocks to trade in based on close monitoring of markets and important events. These agents will use decision theory to suitably advise human users based on its learned models of the user's preferences and risk appetite.

For advertising, we are developing novel mechanisms for buying and selling advertising space. This relies heavily on our expertise in agent-mediated e-commerce and mechanism design.

For personal financial planning, we use our expertise in decision theory, optimisation and machine learning in order to learn a user's preferences before planning what mix of financial products the user should invest in. This planning takes into account various factors like the risk appetite of the user, life stage and short-term and long-term goals.

These applications represent a sample of the variety of applications and application domains in which germinait is interested and is actively pursuing product development.