From Chatbots To AI Agents: How Solsten Gives Machines a Human Touch

Photo Credit by Solsten

The race to humanize artificial intelligence has found its missing link. Solsten’s psychological database—covering 3.4 billion people across 20,000 brands and 40,000 interest groups—is now powering a new breed of AI agents that don’t just process data about humans but think like them. This breakthrough promises to transform everything from customer service bots to video game characters into entities that understand and know how to resonate with human nuance.

The EQ Chip for AI

General-purpose AI tools like ChatGPT excel at breadth but stumble on depth. They lack the psychological wiring to adapt their tone, values, or decision-making to specific audiences and people. Solsten solves this by embedding what CEO Joe Schaeppi calls “emotional DNA” into AI systems. Drawing from the world’s largest psychological dataset, developers can now train agents to adopt distinct personalities tailored to precise audience segments.

Imagine a customer service bot that mirrors a luxury shopper’s communication style, formal yet aspirational, while adopting a casual, solution-focused tone for tech enthusiasts. Or a sales AI that knows specifically why a Gen Z gamer prefers sustainable brands versus a Gen X investor prioritizing stability. 

The world already has machines that talk. The idea isn’t to create another chatbot,” explains Bastian Bergmann, Solsten’s co-founder. “Instead, we’re teaching them to connect.

Breathing Life into Digital Interactions

Gaming studios, including one of the largest MMO (massive multiplayer online game) have already used Solsten’s technology to equip their customer service technology with communication styles and personality traits from Solsten to impact customer service chat outcomes: increasing NPS scores by 30 percent. When their research team followed up to figure out what caused the large jump in NPS, the main reason given from customers was, “I felt heard.” 

The only thing that changed was customer chats were now on the customer’s terms, in their communication style and personalized to their personality. Whether it is a chatbot or an in-game character, AIs can now react not just to in-product actions but to psychological triggers—adjusting dialogue based on a user’s resilience, curiosity, or competitiveness in the case of a game, turning scripted interactions into dynamic relationships.

Various platforms are now integrating Solsten’s profiles to create support agents that adapt their tone in real time. A customer whose personality is quick to frustration might trigger empathetic, solution-oriented responses, while a hurried user receives concise, data-driven answers. More than mere automation, it’s AI that navigates human emotion with surgical precision.

The Personality Engine Powering Tomorrow’s AI

However, Solsten’s true edge lies in scalability. Its system identifies core psychological traits—altruism, risk tolerance, humor preferences—and maps them to behavioral patterns across industries. Brands can license these “personality blueprints” to train AI agents in days, not months. A travel company might deploy a cheerful, adventure-seeking chatbot for thrill-seekers, while a financial service opts for a methodical, security-focused assistant.

Schaeppi sees this as foundational, “Just as Nvidia is the engine under the hood that is powering AI models today, Solsten’s data will power emotionally intelligent AI.” 

As AI permeates daily life, Solsten’s psychological layer offers a major advantage: machines that, more than solve problems, fundamentally understand the humans behind them. As AIs like ChatGPT, Grok, and Anthropic reach similar plateaus, the average customer isn’t going to care about how quickly it can solve quantum physics problems, but how well these AIs connect with them as human beings. The core task of LLMs (Large Language Models) is to mimic the average person, but this is contrary to what human beings do, as we are very specific and nuanced. And this is what Solsten does: decode the human matrix, including the traits that make us all unique. The age of generic AI is already ending. In its place rises a world where every digital interaction feels less like talking to a machine and more like connecting with a mind that understands its audience.