From counting fish underwater to monitoring the flow of garbage trucks 24/7, our company has developed deep learning systems that function in environments that humans can’t.
Counting every customer who buys a specific item at every retail location in the US, in real time? We have the know-how, and we’ll help you deploy and service it, too.
From collaborating with NREL to helping to advance new biomedical devices, we love working on research projects. If your research team is “stuck” on a technical problem, we want to help.
An experienced engineer, Darren is an expert in deep learning and hardware development.
``Artificial Intelligence will change the world. No business can ignore it.``
With a background in product development, vision systems integration, and computer vision, CEO Darren Odom has decades of experience in consulting and engineering. Before founding Boulder AI, Darren worked as an engineer team leader in vision systems, with projects in a diverse array of industries. Darren has experience in engineering management and consulting, and has worked in satellite communication, medical device R&D, and test systems development.
Dan Connors, PhD, CTO
Boulder AI’s CTO, Dan Connors, PhD, is the co-founder of Boulder AI, Head of the Computer Engineering Program in the Department of Electrical Engineering at the University of Colorado in Denver and founder of Avout Education Development Technologies. He has received a number teaching honors including an Outstanding Teaching Faculty Award in 2012, has authored nearly $1 million in research grants, and has created dozens of articles and presentations based on his research.
Dan’s area of interest includes Systems (computer architecture, embedded system design, and fault tolerance), Software (programming languages, parallel processing, compilers), and Scientific Computation (high-performance computing). He received his BSEE in Electrical Engineering from Purdue University and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign.
Andy Goldstein, Advisor
Boulder AI’s advisor, Andrew “Andy” Goldstein, has more than 40 years experience in the commercialization of technology in the data storage, optical telecommunication, cleantech, and medical device industries. His work has included executive positions in engineering, quality manufacturing, marketing, and materials for businesses ranging from start-ups to Fortune 1000 companies. Andy most recently worked as an independent consultant, as the COO of KMLabs, and as the COO of TerraLUX Inc.
In all, Andy has worked on developing more than 50 products that generated over $1 billion in revenue. He earned a B.S. in Electrical Engineering from the University of Minnesota and has been awarded four patents.
Rob Beetel, Machine Learning Engineer
Rob Beetel has a background in Biology and Biomedical Engineering with 15+ years experience in early phase medical device development. His roles involved collection of upstream market research, concept and IP generation as well as prototype development and testing in pre-clinical and clinical environments. He has worked in environments ranging from Fortune 500 companies to seed stage startups.
Rob earned his B.S. in Biology from The College of New Jersey and his Ph.D. from Rutgers University where his doctoral work focused on Electrical Engineering, Imaging, Neuroanatomy and Physiology, Bioelectric Systems and Signals and Computational Intelligence.
Rob has recently transitioned from the medical device field back into the computational intelligence space and is very much looking forward to applying these powerful tools to interesting problems including those in healthcare.
David Soto, Full Stack Software Developer
David Soto has a background in Electrical Engineer with 12+ years experience in telecommunications and datacenter market. His roles involved from network design, software engineering and business development.
David earned his electrical engineer degree from Universidad de Concepcion and a Master of Business Administration from UAI Chile. The last two years David has transitioned from the network and datacenter design into the IoT, Machine Learning and Data Scientist world looking for opportunities to apply these new tools into different industries.