In November 2025, Eternos, a digital legacy service company founded by Robert LoCascio, former CEO of LivePerson, officially rebranded as Uare and secured $10.3 million in seed funding, with plans for a full launch by the end of the year. Originally focused on building digital lives for the deceased, the enterprise has now pivoted to the personal AI avatar track, aiming to equip everyone with a “digital avatar” that can work and even generate income—drawing widespread attention across the industry.
Uare’s transformation is no coincidence. LoCascio noticed that many clients consulting Eternos were not preparing for end-of-life matters, but rather craving an AI assistant capable of replacing them in client meetings, answering questions, and expanding their professional influence. This insight drove the company to shift its focus from “archiving past life memories” to “extending current personal value,” positioning AI avatars as digital infrastructure for boosting productivity.
Technically, Uare relies on its self-developed HLM (Human Life Model) framework. After registration, users must answer specific questions about childhood experiences, career turning points, and values through text, voice, or video. The platform structures this content into three core data categories: life narratives, professional facts, and behavioral patterns, which are then mapped to a personalized model space for adaptation and fine-tuning. Unlike competitors dependent on general-purpose large models, HLM features a “knowledge boundary detector” that not only reduces AI hallucinations but also makes the AI avatar’s professional judgments and communication tone more aligned with the user. It also supports dynamic iteration and upgrading, keeping pace with the user’s growth.
Coexisting Business Models and Industry Challenges
Uare has designed a dual-track monetization strategy: first, a traditional SaaS subscription service where users pay monthly or annually to let AI avatars assist with writing, client communication, and other tasks; second, a revenue-sharing mechanism. When users generate income through their AI avatars—such as providing consulting services or content creation—the platform takes a certain percentage of the proceeds. This innovative model is relatively rare in the current digital twin track, even amid the latest AI news highlighting various entrepreneurial experiments.
However, competition in the personal AI sector has become increasingly fierce. Currently, the market already includes players like Delphi and Replika, covering areas from work and leisure to emotional companionship. YC Demo Day also saw the emergence of startups like Iris and Nessie, which focus on niche digital life scenarios. More crucially, specialized vertical AI Agents have already gained a foothold in fields such as healthcare, law, and customer service. The “personal consciousness and personality” that Uare emphasizes offer no significant advantages over professional AI Agents in solving practical problems, and the role of its HLM model in enhancing competitiveness in vertical sectors remains unproven.
Data security and ethical risks also cannot be ignored. Uare’s HLM model requires collecting a large amount of highly sensitive user data, some of which is processed by third-party service providers and stored on servers in the United States. This creates a gray area regarding jurisdiction and legal protection for non-U.S. users. Although Uare commits to complying with data protection frameworks like GDPR and implementing anonymization in data processing, winning the trust of high-sensitivity user groups such as lawyers and accountants remains a considerable challenge.
From an industry perspective, while the digital life track is gaining momentum, no company has yet found a clear path to commercialization. Uare’s transformation story has won capital recognition, but whether it can break through the competitive barriers of vertical AI Agents, address data security pain points, and truly realize the commercial value of AI avatars remains to be tested by the market. This $10.3 million bet not only concerns the future of a single company but also reflects the exploration and uncertainty of the personal AI track.
