Yobi AI
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Since Yobi’s founding in 2019, we’ve been focused on solving the single biggest challenge to democratized AI for organizations of all sizes: ACCESS TO DATA.
Today’s Large Language Model’s lack a defensible moat because they’re trained on public data, like Reddit, WordPress, and other public web sites. Unfortunately, unless you’re Google or Amazon, your 1P data estate doesn’t provide a holistic consumer view to deliver real impact.
Yobi partnered with Microsoft to assemble one of the largest consented behavioral datasets to underpin a private foundation model of behavioral intelligence without sacrificing consumer choice or privacy.
For data scientists, this foundation model can be fine-tuned and joined to customer 1P data to ignite model training and performance.
For marketers, this big-tech like behavioral model can be plugged into open web activation and personalization platforms to unlock new levels of audience targeting and consumer experiences beyond the walled gardens.
Together, through collaboration, WE CAN DEMOCRATIZE THE AI REVOLUTION.
Today’s Large Language Model’s lack a defensible moat because they’re trained on public data, like Reddit, WordPress, and other public web sites. Unfortunately, unless you’re Google or Amazon, your 1P data estate doesn’t provide a holistic consumer view to deliver real impact.
Yobi partnered with Microsoft to assemble one of the largest consented behavioral datasets to underpin a private foundation model of behavioral intelligence without sacrificing consumer choice or privacy.
For data scientists, this foundation model can be fine-tuned and joined to customer 1P data to ignite model training and performance.
For marketers, this big-tech like behavioral model can be plugged into open web activation and personalization platforms to unlock new levels of audience targeting and consumer experiences beyond the walled gardens.
Together, through collaboration, WE CAN DEMOCRATIZE THE AI REVOLUTION.
Yobi AI Offices
OnSite Workspace
Employees work from physical offices.
Typical time on-site:
None
