Pluralytics, a groundbreaking AI language analysis and generation platform that writes language designed to deepen connection with target audiences, announced today the addition of Clayton Kjos as Head of Product and Sridhar Cuddalore Parthasarathy (CP) as AI engineer to its growing generative AI engineering team.
Kjos comes to Pluralytics from Rakuten, a publicly traded Tokyo-based supplier of e-commerce, fintech, digital content, and communications products. “I am excited to be joining Pluralytics at such a pivotal moment in its product development,” Kjos remarked. “They have demonstrated the worth of their AI methodology to some of the world’s largest corporations.” I’m looking forward to providing technologies that will provide countless marketers, communicators, and software product developers that same possibilities wherever they utilise language to communicate with consumers.”
Cuddalore Parthasarathy joins the organisation from Titan Space Technologies, where he worked in AI, mechatronics, and robotics. “Pluralytics is on the cutting edge of AI generation for language,” Cuddalore Parthasarathy remarked. “I am looking forward to being part of accelerating their AI language product roadmap and delivering tools that make language generation more secure, reliable, and performant.”
Pluralytics will debut its ValuesFinderTM solution in 2021, having raised over $5 million in venture funding led by Ecliptic Capital in Austin to create its basic models. “We will take what we have learned from our Fortune 500 enterprise customers and drive innovation everywhere communicators interact with language to increase engagement without the risks associated with Gen AI,” Alisa Miller, CEO and co-founder of Pluralytics “Clayton and CP are the kind of people you dream about attracting as a startup founder, and we are excited for their contributions to our continued growth.”
Pluralytics is a language science firm powered by AI. Its ValuesFinderTM SaaS platform and APIs enable audiences to connect with values-driven communications. It finds and matches language patterns with people’s values by analysing material across any platform and determining which values-driven customer or employee segments a brand most aligns with – and why. It develops language to appeal to more individuals with scalable scientific precision and demonstrable improvements in engagement, while also assisting businesses in remaining consistent with their brand voice.