Pluralytics AI
www.pluralytics.comAbout two years ago, our founders Alisa Miller, Rick Byrne, and Morteza Shahriari Nia launched Pluralytics. The reason was simple, they sought to solve a large, pervasive and growing problem: businesses are struggling to communicate with customers, employees and shareholders who are demanding alignment with their values while creating content that is authentic and consistently in their ideal brand voice. Solving this problem for marketers and communicators reduces content waste, avoids risks associated with brand confusion, and creates opportunities to deepen relationships with stakeholders. Puralytics’ software empowers communications professionals in marketing, HR and content creation to respond to these challenges. Our founders' collective experience in leading media, marketing and technology uniquely positioned them to see profound connections between personal values and language. Their hypothesis: values drive how most people respond to organizational messaging and that AI could find patterns to power a predictive language intelligence platform. They spoke with MIT scientists, leading behavioral scientists, data scientists as well as marketing and communications leaders and then began to build and test technology. Could they find significant language patterns proving their hypothesis at scale? They did. Based on a groundbreaking combination of research on values from behavioral science, millions of organizational messages and national opinion data, they discovered distinctive patterns in language predictive of appeal based on people’s values. Pluralytics and its ValuesFinder™ SaaS solution equip brands with real-time content Intelligence to select and apply language thoughtfully and purposefully that delivers on ROI. With Pluralytics, communicators have an analytical rationale for creative choices. It saves time, makes for better messaging and storytelling, and improves results. Build meaningful connections anytime, anywhere. That’s the power of us.
Read moreAbout two years ago, our founders Alisa Miller, Rick Byrne, and Morteza Shahriari Nia launched Pluralytics. The reason was simple, they sought to solve a large, pervasive and growing problem: businesses are struggling to communicate with customers, employees and shareholders who are demanding alignment with their values while creating content that is authentic and consistently in their ideal brand voice. Solving this problem for marketers and communicators reduces content waste, avoids risks associated with brand confusion, and creates opportunities to deepen relationships with stakeholders. Puralytics’ software empowers communications professionals in marketing, HR and content creation to respond to these challenges. Our founders' collective experience in leading media, marketing and technology uniquely positioned them to see profound connections between personal values and language. Their hypothesis: values drive how most people respond to organizational messaging and that AI could find patterns to power a predictive language intelligence platform. They spoke with MIT scientists, leading behavioral scientists, data scientists as well as marketing and communications leaders and then began to build and test technology. Could they find significant language patterns proving their hypothesis at scale? They did. Based on a groundbreaking combination of research on values from behavioral science, millions of organizational messages and national opinion data, they discovered distinctive patterns in language predictive of appeal based on people’s values. Pluralytics and its ValuesFinder™ SaaS solution equip brands with real-time content Intelligence to select and apply language thoughtfully and purposefully that delivers on ROI. With Pluralytics, communicators have an analytical rationale for creative choices. It saves time, makes for better messaging and storytelling, and improves results. Build meaningful connections anytime, anywhere. That’s the power of us.
Read moreCountry
State
Minnesota
Industry
Employees
1-10
Founded
2020
Social
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