33x specializes in machine learning and robotics consulting.

We help companies develop systematic and sustainable solutions for their data, machine learning, automation and robotics needs.


We offer custom expert solutions to difficult problems. Our team has more than two decades of academic and industrial experience developing state-of-the-art systems in a variety of fields.

Machine learning

Architecture of company-wide Machine Learning platforms. Due diligence counsel in ML and related areas

Data Science

We design data research platforms for different industries, providing processing and analysis of live or archival data sources.


Sensing, State Estimation, Control, Planning and Simulation. Embedded system development and programming. We have experience with humanoid, ground, aerial, and underwater robotic systems.


Joshua M. Joseph, Ph.D.


Joshua Joseph has a decade of experience solving real-world problems using the tools of machine learning. He received a B.S. in Applied Mathematics and a B.S. in Mechanical Engineering from Rochester Institute of Technology and a S.M and Ph.D. from Massachusetts Institute of Technology. At MIT, his Ph.D. work focused on methods for learning models of complex systems from limited data for decision making. He worked on a variety of real-world projects, such as modeling battery health degradation, predicting taxi routes, and autonomous robot interaction with turbulent water flow. Following his Ph.D., Josh co-founded Causality Technologies, a proprietary trading company, focusing on fully automated trading and ML-based strategy discovery.

Marek W. Doniec, Ph.D.


Marek Doniec has 10+ years of experience developing autonomous robotic systems for ground-, air-, and underwater applications and has lead multiple efforts in this space. Marek holds a Ph.D. in Computer Science and Electrical Engineering from MIT, a M.S. in Computer Science from Yale University and a Vordiplom (B.S.) in Computer Science from the University of Karlsruhe. He has been an active member of research labs in the United States, Germany, France, and Singapore. Additionally, he has experience in industry, having worked at Rethink Robotics and Google [x], as well as a stint as a quantitative researcher on Wall St.