JoliBrain Information

Jolibrain is an AI R&D strike team for engineering organizations facing hard decisions under uncertainty. We take on consequential problems whose feasibility is still unclear. When a standard product, routine fine-tune, or commodity integrator is not enough. We formulate the operational decision, identify uncertainty and error costs, test the riskiest assumptions first, stop weak approaches early, and build the ones that survive toward prototype, integration, and transfer. We work across three recurring patterns: • critical decisions from imperfect visual, sensor, telemetry, or documentary evidence; • missing evidence for rare events, sim-to-real learning, and decision-useful super-resolution; • multi-step decisions and scheduling under changing resources, durations, failures, and future states. Our approach is method-agnostic: machine learning, reinforcement learning, optimization, simulation, classical methods, and software engineering are combined as the problem requires. Public foundations include DeepDetect, JoliGEN, Colette, and Wheatley. Senior people do the work, embedded with the customer’s team or independently. Based in Toulouse, France. Bring us the decision your current approach cannot make reliably: contact@jolibrain.com