Delivering Value from Data
What We Do — Get Knowledge Now
Unleashing the power of Mathematics, AI, and modern computational architectures.
We ensure your goals are accomplished in an efficient, fast, and cost effective way.
Allowing your teams to maximize their potential, and have the necessary tools to make optimal decisions.
Who we are — A Multidisciplinary Team
Mathematician passionate of designing, implementing, and monitoring mathematical models that leads to transformation of processes at organizations. During the last decade he has strengthened his knowledge, becoming an expert in parallel computing, artificial intelligence, robust optimization methods, database management, data science workflows, among other areas of expertise. He is also the head of the optimization and reinforcement learning department.
Mathematician, Artificial Intelligence and MLOps Engineer who specializes in interactive platforms for data visualization on the web. He has extensive experience in managing financial assets for the banking and insurance sectors. Mad about science, technology and the hidden patterns and structures that emerge from natural data. A tireless anomaly hunter, always looking for information hidden in plain sight. Expert in Natural Language Processing and Graph-Powered Machine Learning.
Mathematician, and Artificial Intelligence expert. He started leading engagements with a number of major Supply Chain projects with retail and logistics companies, focusing primarily on Economic Modeling, Machine Learning and Big Data. Currently he is co-leading and managing the technological and microservice deployments for commercial and logistic areas of the clients. He has also wide experience in modeling financial resources for public and private sector.
Mechanical engineer, artificial vision expert focused on self driving cars, recognition of objects, actions in images and videos. Through his experience with neural networks he can design efficient AI algorithms for artificial vision, natural language processing and reinforcement learning. Very taken with deploying models on the edge for IoT solutions that use AI, using optimization methods to reduce the computational cost of the models.
MSc. Computational engineer, a full-stack developer with wide experience in high-performance computers (HPC), passionate about emerging General-Purpose Graphics Processing (GPGPU) applications. Mainly focused on research and then deploy projects from any industry to transform ideas into products using engineering, math, and programming.
