Matthew Bernardini, CEO and Co-Founder of Zenapse – Interview Series

Matthew Bernardini is the CEO and co -founder of Zenapse, who leads the company’s vision and supervises the development of its artificial intelligence institution in the leading products in the category. With a background as a product marketer, data strategy, and technical, it brings a mix of experience in the field of entrepreneurship – where he has achieved four successful exits – and corporate experience from organizations such as JPMorgan Chase, OMNICOM and Capgemini.

Throughout his career, Bernardini maintained a strong interest in artificial intelligence, psychology, consumer behavior, game theory and statistics, which are still learning to lead in Zenapse.

Zenapse is an AI-based platform that enhances and preserves customer acquisition and keeps it through emotional smart experiences. Zenapse, supported by the first major feelings in the world (LEM), uses psychological visions and goals -based improvement to help brands communicate deeper with the masses. Quickly to publish and easy to use, it provides measurable results in hours – not weeks – while reducing costs and increasing the return on investment.

Zenapse was built around the intersection of emotional intelligence and AI. What is the moment of “Aha” that led to the creation of the great emotion model (LeM)?

Zenapse has a veteran founder team with backgrounds in the development of products, advertising, marketing, and customer experience spaces, with more than 100 years of joint experience in companies such as Capgemini, OMNICOM and JP Morgan Chase. During our career, we have seen a new shift in a model of marketing, where artificial intelligence changed the way we think and interact with consumers.

In the fast digital scene today, customers expect personal experiences and ringing at all touch points, but traditional marketing solutions lack the speed and visions necessary to make decisions in the actual time and struggle to meet these expectations. At the same time, the product decisions to advertising campaigns are struggling with the high cost of employing multiple team members to complete this work.

To meet this need, we have built the first major feelings in the world (LEM), which helps marketers increase revenues and sales by bringing emotional intelligence in the experience of consumers. By directing their communication towards what is of value and benefit to consumers, instead of one “first brand”, brands can create more feasible reactions that lead to high participation, sales, retaining and customer acquisition.

How do you define the great emotion model (LEM), and how does it differ technically and functionally from the traditional great language model (LLM)?

The Grand Passion Model (LEM) is the predictive Amnesty International engine backed by a database based on knowing more than 200 million consumers with 6 billion data points. Through the psychological visions that AI drives (i.e. beliefs, feelings and emotions), companies can understand what motivates their customers to convert-whether the features or benefits of the product, promotional offers, special incentives, images or calls, then allow them to give priorities the brand experience content to the consumer interest.

Unlike LEM, which focuses on emotion and behavior, LLMS models (LLMS) focuses on text and functions related to natural language treatment (NLP) without deeper visions about what the different sectors of the masses and value believe.

We have worked closely with Google, through Google Startup and Google Cloud Marketplace, as well as Comcast Lift Labs, to ensure that our solution is ready for institutions and fulfills the needs of the most demanding marketers in the world.

Why do you think emotional intelligence is the “lost link” in most of the artificial intelligence marketing platforms?

The simple answer is that the marketers were not really able to understand their customers because the current old technology focuses on the population and behavior. We smoothly integrate with tools from companies such as Adobe, Salesforce and Google to provide unusual results.

95 % of consumer decisions are the subconscious mind and pushing passion. However, for decades, demographic brands were used (for example, postal code, sweat, income) and behavioral data to inform marketing campaigns. Although this type of data has its uses, most purchase decisions are driven by emotions, which these data points fail to capture. As a result, marketers struggle with limited accuracy and effectiveness, and often resort to generalized solutions.

Now, through LEM, brands can take advantage of psychological ideas to build this full image and increase sales and revenues. Proof of the concept of emotional intelligence role in marketing in numbers lies: We are helping home names brands to increase transfer rates by 40-400 % and share more than 80 %.

What are the most common misconceptions that you see about the role of artificial intelligence in understanding human feelings?

One of the biggest misconceptions is that artificial intelligence is here to replace marketers. In Zenapse, we follow a different approach – we help marketers to develop marketing and advertising emotional intelligence and AI that helps them diversify their views through the ability to connect and understand their customers at a deeper and more emotional level.

Traditional campaigns have often relied on consumer assembly in broad categories determined by the population composition, such as age, income and postal code, which ignores the nuances of what humans really care about. With our lem, marketing can align campaigns about what is most important to everyone.

Instead of guessing what might resonate, our marketed platform helps to create experiences with truly resonance because they are based on emotional intelligence. This does not replace the human touch – it makes it stronger.

In your opinion, what separates the noise from the real innovation in the AI ​​+ EQ space now?

We enter a new era of marketing that is defined through emotional smart experiences, not customization at the surface level.

Consumer behavior has changed dramatically. Most consumers now prefer personal experiences – they expect the brands to know what they are interested in. This represents an opportunity for brands to take advantage of artificial intelligence in a way that creates deeper contacts with its consumers.

The difference between noise and real innovation is data quality. Our LeM was built on the knowledge of 300 million consumers and six billion databases in the actual time, which gives brands a comprehensive understanding of those who are consumed-something they could not do before now.

What are the types of psychological signals and data in the actual time that LEM works, and how is this modeling designed in the data lake?

Psychology is based on the lem to four columns:

1. Beliefs We collect beliefs in individual categories, including how they appreciate things such as money, knowledge, family and belonging, among other things
2. Emotions Think about how to react after seeing an advertisement or promotional view. Does it bring you joy or make you anxious?
3. Activities -From gardening to games, we calculate all different types of real and digital activities
4. Behaviors – The events and procedures that the consumer takes in the company’s experiences, such as completing a form, watching a video or making a purchase.

Consumers make purchase decisions with their hearts as much as their minds, so we know that dealing with the emotional component is the key to canceling the real value lock through the entire customer life cycle.

LEM is described as taking advantage of 6 billion databases across 300 meters+ consumers. What are the guarantees and moral considerations in force to ensure privacy and transparency?

Privacy is the center of our product development. Our ecosystem for the entire technology is compatible with the SOC2, and does not pick up our data set or keep any consumer identification information (PII). Our data is assembled and unknown. We also maintain clear internal policies and governance practices to ensure the ethical use of Amnesty International in every step of development.

Can you walk for us through the role of Zencore, Zeninsight and Zenvision in running the emotional customer experiences?

Zencore is our psychological model for consumers and the engine that occupies our LeM. Zeninsight is the basis for data for smart experiences emotionally. Zenvision translates, in actual time, these ideas into predictions that will echo messages or content with a specific psychological sector and provide practical recommendations for marketing. Together, these tools are a complete solution to marketing with emotional intelligence.

How do you adapt to Zenapse to emotional fans such as retail, communications and health care? Are there any cases in the use of the amazing industry?

We are already working with companies such as Comcast, SAM’s Club, Aeropostale, BREAD Financial and Bayada Education and Action Karate to improve 40-400 % digital brand conversion rates. Although emotional drivers differ according to the head, the frame remains consistent: we were concerned with the given consumer and helping brands to align their experiences accordingly.

What is your long-term vision of LEM- Do you see it developing beyond marketing to other areas such as health care or education?

Currently, we focus on the use of artificial intelligence to help marketers and advertisers to better associate their customers, and with our data continues to improve over time, our LEM as well. We have recently expanded the platform beyond web sites to support CTV through our partnership with LG Ad Solutions and their innovation laboratory. Our goal is to expand the main touch points on the platform by 2028 – video, cars and homes connected to name a few.

How do you see smart intelligence emotionally reshaping the next contract of digital experiences?

The ability to provide experiences in the actual non -personal time across all digital platforms is more powerful than ever, which creates new opportunities for partnerships. Artificial intelligence and emotional intelligence will continue, and since these technologies and visions have become increasingly developed, the driving force will be behind marketing efforts in all digital media.

Our team works hard to stay at the top of this curve. We recently announced our partnership with LG AD Solutions innovation laboratories to help CTV advertisers provide emotional experiences through the LG ecosystem of 200 million smart TVs, and we are working to provide our vision to other screens, such as the web, mobile phone, music, movies, connected cars, and more

We see the future of the digital experiences formed by artificial intelligence and emotional intelligence. Companies that fail to adapt to the risk of these transformation that they leave by competitors who are faster to respond to changes in consumer preferences and behaviors.

Thank you for the wonderful interview, readers who want to know more Zenapse.