The Xineoh team has a background in the application of mathematical modeling and machine learning to ad technology. They successfully created several products utilising these expertise.
In 2013 Vian and his team joined a start-up as co-founding CTO. This start-up was venture backed by Move Inc. In 2014 Vian and the engineering team left the start-up and founded Xineoh.
Since 2014, Xineoh has intensified its focus on developing top performing and groundbreaking AI. These technologies have been applied in marketing campaigns for clients in the real estate and mortgage industries.
Over the last 12 months the team has been working on a generalizable recommender algorithm, which is now being offered to businesses as a SaaS product.
Xineoh
Founder & CEO
Vian Chinner is the founder and CEO Xineoh. He is one of the elite computer scientists in the world, with the ability to create data driven Buyer Cycle Identification algorithms. Bea Chinner is the Chief Operation Officer of Xineoh and she is responsible for the operations, HR, legal aspects and strategic planning of the planning.
Vian Chinner is the founder and CEO Xineoh. He is one of the elite computer scientists in the world, with the ability to create data driven Buyer Cycle Identification algorithms. Bea Chinner is the Chief Operation Officer of Xineoh and she is responsible for the operations, HR, legal aspects and strategic planning of the planning.
The Xineoh team has a background in the application of mathematical modeling and machine learning to ad technology. They successfully created several products utilising these expertise.
In 2013 Vian and his team joined a start-up as co-founding CTO. This start-up was venture backed by Move Inc. In 2014 Vian and the engineering team left the start-up and founded Xineoh.
Since 2014, Xineoh has intensified its focus on developing top performing and groundbreaking AI. These technologies have been applied in marketing campaigns for clients in the real estate and mortgage industries.
Over the last 12 months the team has been working on a generalizable recommender algorithm, which is now being offered to businesses as a SaaS product.
