The company HawAI.tech (Hardware for AI) designs hardware accelerators to provide explainable, accountable and transparent artificial intelligence (AI). Probabilistic models are the basis of this next generation of AI as the former Intel CTO Mike Mayberry says: "The third wave of AI [...] will be around probabilistic computing". These models meet our needs by combining the strengths of expert systems and neural networks, namely reasoning and learning. They enable a more frugal AI as they require much less data to learn and much less energy for their execution. Moreover, this type of AI meets the needs for an explainable AI of many industry sectors (defense, health, automotive, finance) seeking to justify the decisions made by their system. The hardware available today does not allow an efficient execution of probabilistic models. This mismatch between the probabilistic nature of the models and the existing hardware on the market makes their use inefficient in terms of cost and performance. Thus, based on the results of more than 15 years of research conducted at the CNRS and INRIA, HawAI.tech is a pioneer company that develops computing architectures that make the use of probabilistic models possible and competitive. Our accelerators are focusing on edge computing use cases to allow a efficient computation locally close to the sensor.