Meet the Team
Ryan Cloninger - CEO
Since 2023, Ryan Cloninger has been actively researching and exploring opportunities within the golf industry, capitalizing on the influx of wealth into Charleston, South Carolina. His strategic efforts quickly resulted in valuable introductions to capital funding sources, positioning him as a key player in the development of golf course architecture and related projects.
Ryan’s approach combines comprehensive research, interviews, and analysis of industry successes and failures, providing him with critical insights into the systems and processes necessary for successful capital raising, strategic partnership development, navigating regulatory landscapes, and scaling complex development initiatives.
As the founder of Intoku Design, Ryan has pioneered AI-driven architectural design solutions for golf courses. Under his leadership, his team of software engineers—including graduate interns from NYU and MIT—developed cutting-edge training models utilizing LiDAR data from scanned golf courses. These models extrapolate innovative new designs based on topographical data, showcasing his ability to lead advanced technological initiatives.
Ryan personally invested $76,000 to fund the initial development of this software, collaborating with NYU’s graduate program and working with Assistant Director Julian Togeliu, as well as graduate students Timothy Merino and Roman Negri.
His endeavors are supported by the expertise of renowned golf architect Steve Smyers and industry expert Colton Craig, further demonstrating his capacity to build strategic partnerships and assemble high-caliber teams to drive innovation.
Achievements that exemplify his leadership potential as a CEO include:
• Securing and managing significant investment and resources for innovative projects
• Leading cross-disciplinary teams of engineers and industry professionals
• Pioneering AI technology applications in a traditional industry
• Building strategic partnerships with industry leaders and experts
• Demonstrating entrepreneurial vision and the ability to scale complex, high-tech initiatives
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Patrick Kinsella - CTO
As an internationally recognized expert in machine learning and Ai image detection, Patrick Kinsella utilizes his creativity and experiences to design unique solutions for his clients. When designing his boutique solutions, he relies heavily on proven technology utilized in new ways, paired with rapid model creation and complex final algorithms to bring the competitive edge to any organization.
Cutting his teeth in civil construction across the United States for 15 years he created new processes and systems to streamline estimation, execution and final reporting to reduce cost, time and environmental affects of the project all while increasing the data collected and the knowledge learned.
When curiosity came calling Patrick headed to the energy sector, high pressure fracking to be precise, in the western United States. He led a $460m research and engineering study to identify the cause of the new H2S gas outbreak in the basin. After holding discovery meetings with each stakeholder from the drilling to production stages of thousands of oil wells he now could implement changes. He standardized systems and
processes to identify key markers throughout the lifecycle and was able to identify the cause and create a solution to H2S gas preventing the entire field from souring. At the completion of the project, Patrick found himself back in the civil industry but in a new role as owner.
After the project he took a deep dive into drone and ai technology.
Utilizing drones to create digital twins of a space gave him the ability to collect data rapidly and accurately. Quickly seeing the need to analyze just as quickly he began in Ai for pavement, building over 60 models for the pavement sector he was still hungry and began consulting on numerous applications from detecting bear prints in forests, reading CT scans, surveying runways for defects, teaching drones to read analogue oil and gas gauges for remote desert wells, rethinking how autonomous vehicles see the road, all the way counting cows in a pasture. His creative problem solving has always led him to trust his favorite saying
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“If you can see it, we can model it.”
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