Anyword Announces Gen-AI Performance Platform, First of Its Kind AI Solution for Marketers

Anyword

Anyword, the leader in performance-driven AI solutions for marketers, announced the launch of Gen-AI Performance Platform, the first model-agnostic, cross-platform solution built for enterprise marketing teams.

With many businesses integrating a variety of AI models into their operations, Anyword’s Gen-AI Performance Platform is built to unite all generated content under one umbrella, ensuring a consistent tone of voice regardless of the AI source model. Through this secure, consolidated layer of intelligence, the platform also provides predictive performance scoring and real-time suggestions to enable marketing teams with data-driven insights that impact business outcomes.

“Over the past year, AI for marketing has been all about copy generation, but the industry is ready for the next level of AI solutions,” said Yaniv Makover, CEO and Co-founder of Anyword. “AI is ready to take the next step from a productivity tool to a key driver of business results. Anyword is excited to take that next step with the introduction of Gen-AI Performance Platform, a model we’ve built with the understanding that content will be created around an organization by many people through different tools and platforms. The challenge is to ensure consistency in the tone of voice and intention across content and that’s where Gen-AI Performance Platform comes in.”

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The unique platform is designed to provide leading enterprises across industries with a cutting edge intelligence layer, which is driven and measured by business results. This layer understands the different target personas across all AI tools and applications and provides real-time impact scoring for all generated content across all models marketing teams are using within an organization. It ensures uniform branding for businesses, suggesting content improvements based on true performance to bolster business outcomes – all in a secure, private model environment. As such, businesses are not limited to using one AI platform.

Anyword’s Gen-AI Performance Platform enhances prompts for foundational models, and serves as a performance data layer for fine-tuned models, all while scoring and improving content generation. It has been adopted by several Fortune 100 companies, as well as key early adopter market leaders like Shopkick, Bio-Rad and TrueCar.

“We are proud to be trusted by some of the biggest brand names already using our intelligence layer to orchestrate their messaging across multiple locations, models, platforms and personas. Leveraging a decade of experience working with the largest publishers in the world, we’re glad to be putting out a truly performance-driven, science-first AI solution that focuses on results, and not just automation in the hands of marketers,” said Makover.

As part of its continued growth in the AI space, Anyword also welcomes AI enterprise stalwart Omer Rabin as Co-founder & Chief Revenue Officer to its founding team.

“I’m proud to have Omer on board as my partner and excited for him to bring his expertise and passion to the Anyword team,” said Makover. “As we experience exponential business growth, we want to ensure our leadership is enterprise-minded and client-focused, providing a true white-glove experience from the initial touchpoint.”

Rabin brings with him over 10 years of experience as a leader and c-suite level executive at category-creating unicorn companies: Gainsight (acquired by Vista Equity Partners for over $1B), WalkMe (IPO’d in 2021), and Guesty (recently raised $130M in fresh funding from KKR and other investors). Most recently, Omer served as the CEO and co-founder of Entor, an AI platform for product leaders.

“It is exciting to join a true rocket ship and help lead Anyword through this era of hyper growth,” said Omer Rabin, CRO of Anyword. “Gen-AI Performance Platform is the inevitable next step in AI that we’re glad to bring to market and collaborate with the brightest CMOs out there to re-invent marketing in the AI era.”

SOURCE: BusinessWire