CES Top 12 Companies Redefining Personalization With Web3, AI, and Robots
CES showcases 12 companies revolutionizing personalization through the integration of robots, AI, and Web3. The Agibot X2 humanoid robot captivates with its dance moves. (Photo by Patrick T. Fallon / AFP via Getty Images)
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CES has consistently served as a glimpse into the future, and with the convergence of AI, Web3, and robotics, it has become a barometer of what is becoming foundational. The event brought together over 148,000 attendees from more than 150 countries, along with 4,500 exhibitors and 1,400 startups, making it a significant gathering in Las Vegas.
Artificial intelligence was pervasive, but the key takeaway was not about advanced models or faster chips. Instead, the underlying theme was personalization, and the challenges of achieving it effectively, securely, and at scale. The companies that stood out were those building adaptive systems that cater to individual preferences and contexts, rather than chasing novelty.
At CES, Personalization Now Begins with Trust
Personalization, as McKinsey suggests, can significantly enhance customer satisfaction, boost revenue, and reduce operational costs when powered by AI and agentic systems. As AI systems move into critical areas, data provenance and trust become as vital as intelligence itself.
Vannadium's Leap platform exemplifies this shift, making AI systems explainable and auditable by streaming high-value data on-chain with full provenance and access control. This approach reframes blockchain as a trust layer for AI, rather than a financial experiment.
Identity verification, too, is evolving. Veintree demonstrated privacy-first authentication using biocryptography, ensuring individuals can be verified without storing biometric data. In an era of heightened regulation and declining consumer trust, this approach is a powerful differentiator.
AI Is Becoming an Operating Layer
CES highlighted the evolution of AI from a standalone tool to an orchestrating layer. Lenovo's immersive Sphere experience showcased AI as a connective layer across devices and workflows, reducing friction and enhancing context-awareness.
Modev's AI House demonstrated personalization in access control, curating relevant people and conversations at the right time. CTGT's decision intelligence approach, prioritizing actions based on role, timing, and intent, further emphasized the importance of AI in guiding decisions rather than simply answering questions.
Embedded Personalization Without Constant Connectivity
One of the most intriguing aspects of CES was the presence of companies not typically associated with AI hype. LEGO's Smart Bricks, for instance, operate without an internet connection, continuous data collection, or an on/off switch. Intelligence is embedded in behavior and interaction, prioritizing durability, privacy, and fail-safe operation.
This challenges the notion that smarter products always require more connectivity. As AI becomes ubiquitous, human-centric personalization may rely on fewer failure points rather than extensive data exhaust.
Identity and Expression as Software
Personalization is evolving from functional customization to dynamic self-expression. iPolish and Peuty, focusing on beauty and accessories, showcased how identity is becoming programmable. The Peuty bag, for instance, adapts visuals in real-time, reflecting the wearer's context, mood, and intent.
Creative tools like Lollipop Star hint at a future where AI-driven personalization extends beyond screens, engaging in physical, sensory interactions. Instead of algorithms selecting content, AI becomes a co-creator, enabling individuals to actively shape their consumption.
Personalization in the Physical World
CES also demonstrated how personalization is transitioning from screens to daily life. Nosh's AI-powered cooking robot adapts to dietary needs, preferences, and routines, providing a context-aware service. LG's vision for the home includes integrated AI, where robotics technology is embedded across appliances and environments, aiming for a Zero Labor Home.
The LG CLOiD home robot, for instance, is designed to naturally engage with and understand its users, providing optimized household assistance. This shift positions personalization not as a feature but as an ambient capability, where AI adapts to how people live, move, and behave, quietly reducing effort.
Efficiency as the Most Underrated Form of Personalization
One of the most compelling ideas at CES emerged from infrastructure rather than interfaces. Superheat's innovation in Bitcoin mining, capturing waste heat to warm homes and buildings, showcases how infrastructure can adapt to place and purpose, turning excess cost into functional value.
The CES Takeaway for Business Leaders
CES 2026 was not just an AI showcase; it was a systems showcase. The standout companies understood that personalization is a structural imperative, requiring AI for adaptation and Web3 technologies like blockchain and identity for trust, provenance, and accountability. The next competitive advantage will come from systems that understand people, adapt to context, and earn trust by design.