Kaizten Analytics is a technology-based company, spin off of the Universidad de La Laguna, specialized in optimizing complex systems in logistics, transportation, and resource planning and management.
We have a solid track record in research, development and innovation in intelligent optimization techniques, data analytics and decision-making processes. We have the necessary knowledge to face new problems and design efficient and scalable algorithms to solve them.
We enjoy analyzing and solving problems. We are committed to our clients’ projects and help them achieve the best results. Our goal is not just to provide a service, but to establish a long-term, mutually beneficial relationship with our clients.
We are computer scientists and mathematicians specialized in transportation, logistics and supply chain management, but we are open to studying complex problems in any other sector.
We deliver projects on time and within the agreed budget. We work closely with our clients, update regularly, and make sure that unexpected challenges are discussed and resolved before they become problems.
Co-founder & Chief Executive Officer
PhD. in Mathematics with an extensive record as leader in transferring knowledge to industry and dedicated to develop high quality business strategies and plans as well as overseeing all operations and business activities to give rise to successful projects.
Co-founder & Chief Operating Officer
PhD. in Mathematics and with long-standing expertise in the leadership of scientific and technology projects in the fields of multimodal transportation, logistics, and delivery. He is currently ensuring the company has effective operational procedures in place.
Co-founder & Chief Technology Officer
PhD. in computer science and artificial intelligence and responsible for outlining the company’s technological vision, implementing technology strategies, and ensuring that the technological resources are aligned with the company’s business needs.
PhD. in Computer Science and Artificial Intelligence and Master in Software Engineering. He has professional experience in the field of business software engineering, computer science research and teaching. He is currently in charge of developing solutions for data analysis, decision making, optimization, and process simulation.
PhD. in Computer Science and Artificial Intelligence with high experience on different roles on software development projects. He is currently focusing on design and development of algorithms and software for solving optimization problems, decision making and data analysis.