About ArtificialGate
ArtificialGate is a professional AI academy, applied research lab, and implementation partner. We help organizations move from interest in AI to measurable capability: trained teams, reliable workflows, production-ready models, and practical governance.
Mission
To make advanced AI useful, responsible, and operational for professionals and organizations through high-quality training, applied research, and implementation support.
Vision
To become a trusted bridge between AI research and real organizational capability, where teams can learn, build, deploy, and govern AI systems with confidence.
What we do
We design professional AI programs, build learning infrastructure, develop models and agents, and support organizations from early idea and data readiness to deployment environments.
How we work
Our work combines academic depth with engineering discipline and practical business adoption. The result is training and implementation that people can actually use.
Clarity before tools
We start with the business, research, or engineering objective, then select the right AI methods, workflows, and measurement strategy.
Learning that transfers
Programs are built around practical tasks, professional context, and repeatable workflows so teams can keep using AI after the training ends.
From concept to deployment
For research and implementation projects, we can begin at the idea stage or work from client data and deliver trained models ready for deployment environments.
Team
ArtificialGate brings together researchers, engineers, educators, governance specialists, and technology leaders with deep experience in building and scaling AI.
Dr. Barak Or is an artificial intelligence researcher, lecturer, and entrepreneur. He holds a PhD in Machine Learning and Navigation Systems and works at the intersection of AI, control systems, and autonomous technologies.
He founded ArtificialGate to make high-quality AI education, applied research, and deployment-focused training accessible to organizations and professionals.
Computer scientist, electrical engineer, inventor, technologist, serial tech entrepreneur, and angel investor. He is a Professor of Computer Science at the Technion, where he holds the Dan Broida Academic Chair and the Schmidt Chair in Artificial Intelligence, and a Professor at the Institute of Science and Technology Austria. He is also a Fellow of the IEEE for his contributions to 3D imaging and geometry processing.
Bronstein has co-authored over 200 scientific papers and holds over 60 patents. In addition to his academic activities, he co-founded and served in leading technical roles in various startups, including Invision (acquired by Intel), Videocites, Embryonics (acquired by Rhea), and Sibylla.
Dr. Mike Erlihson is a seasoned AI leader with deep expertise in NLP, computer vision, and cybersecurity. Holding a Ph.D. in Mathematics from Technion, he has led data science and ML initiatives across various industries. A key figure in AI education, he has authored 350+ research reviews and founded #deepnightlearners and #shorthebrewpapereviews to promote deep learning insights. He frequently speaks at conferences, hosts podcasts, and currently leads AI development at a stealth cybersecurity startup.
Technology entrepreneur and product leader with long experience in R&D, sensor fusion, mobile software, online platforms, and enterprise systems. He co-founded and led technology ventures including Mobile Physics, ExpoLike, and Kama price comparison.
Helping organizations transition from concept to fit for purpose and compliant AI solutions
Final-year B.Sc. Computer Science student at Reichman University. Graduate of the AI Development and Deep Learning track at Google and Reichman AI Tech School.