About ArtificialGate
ArtificialGate develops advanced AI systems for companies and helps organizations build the internal capability to use AI effectively. From custom machine learning and predictive systems to enterprise AI learning and hands-on simulation, we turn AI opportunities into working technology and practical organizational capability.
Mission
To turn AI potential into working systems and real organizational capability - by combining advanced AI development with practical, measurable adoption.
Vision
A future where organizations can build the AI they need, develop the people who use it, and put AI to work across real business and engineering workflows.
What we do
ArtificialGate works across two sides of enterprise AI: building the technology and building the capability to use it. Through AG Research Lab, we develop custom AI models and systems for complex business and engineering problems. Through AG Enterprise AI Academy and AG AI Sandbox, we help organizations train their people, practice real AI workflows and measure practical AI capability.
Build the technology. Build the capability. Put AI to work.
How we work
Our work connects research, engineering and adoption. We can develop a new AI capability, help the people who need to use it build the right skills, and provide a practical environment in which those skills can be applied and measured.
Build AI
We develop custom AI models, prototypes and systems for problems that require real technical work - from predictive AI and deep learning to time-series, sensor fusion, real-time AI and Physical AI.
Build Capability
We give organizations a structured way to develop AI capability across roles and teams through targeted learning paths, practical assignments, assessments and measurable progress.
Put AI to Work
Through the AG AI Sandbox, employees practice realistic AI tasks and workflows in a guided environment, turning knowledge into demonstrated, job-relevant capability.
What organizations gain
A single partner that can help solve a difficult AI problem, build the technology around it, and develop the internal capability required to use AI effectively.
Working AI Systems
Custom AI built around real business, data and engineering problems.
Practical AI Capability
Teams that know where AI creates value and how to use it effectively.
Measurable Adoption
Visibility into what people can actually do with AI, not only what they have learned.
Team
ArtificialGate brings together AI researchers, engineers, educators, governance specialists and technology leaders with experience spanning advanced AI research, product development and enterprise adoption.
Dr. Barak Or is an AI researcher, lecturer and entrepreneur working across deep learning, machine learning for physical systems, sensor fusion and reliable AI. He holds a PhD in Machine Learning and Navigation Systems and combines academic research with the development and implementation of advanced AI systems.
He founded ArtificialGate to connect advanced AI research, engineering and organizational adoption - helping companies both build the AI capabilities they need and develop the people who will use them.
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.