Uare.ai, the personal AI venture founded by LivePerson creator Robert LoCascio, has rebranded from Eternos and closed a $10.3 million seed round. The financing comes from Mayfield and Boldstart Ventures alongside several individual backers, reflecting growing investor interest in user-owned models. The company is repositioning its offering from digital legacy preservation to everyday professional and creative productivity powered by a person’s own data.
Rebrand and Funding
Eternos first drew attention with voice-based digital replicas designed to preserve life stories for loved ones, then discovered demand skewed toward helping people scale themselves while living. The new Uare.ai brand captures that broader utility, emphasizing control, ownership, and monetization of a personal model. With fresh capital, the company plans to mature its platform, expand hiring, and prepare for a wider beta.
The Human Life Model
At the center of Uare.ai is the Human Life Model, a framework that learns from the individual’s experiences, values, and decision patterns rather than general purpose datasets. The aim is to produce responses that remain faithful to a person’s voice and knowledge, limiting drift and reducing fabrication. By anchoring on first-party data, Uare.ai positions reliability and provenance as core product attributes.
Product and Onboarding
When the platform opens, users will train their models by answering structured prompts through text, voice, or video about formative memories and professional contexts. Uare.ai blends narrative inputs with factual details to build a model that can operate in a user’s style while acknowledging gaps. If a question falls outside the trained corpus, the system is designed to say it does not know rather than inventing an answer.
Business Model and Use Cases
Uare.ai targets professionals and creators who want a digital counterpart to generate content, support clients, and execute routine tasks while maintaining tone and expertise. The company expects to monetize through subscriptions or by sharing in revenue generated by models that perform billable work. This approach treats personal knowledge as an asset that can be licensed or deployed, not as exhaust for unrelated systems.
Founder’s Perspective
LoCascio argues that personal models should benefit their creators by preserving ownership, control, and downstream economic upside. He frames the opportunity as enabling individuals to scale their presence without handing over hard-won insights to third parties. The founder’s background leading a public conversational software company informs Uare.ai’s emphasis on trust, accountability, and measurable outcomes.
Investor View
Backers point to strong founder-market fit and a differentiated focus on working professionals, from accountants to solo consultants, who need accuracy and predictability. They view the Human Life Model’s data discipline as a practical way to build confidence in high-stakes workflows. The seed financing is intended to accelerate product readiness and early customer acquisition in targeted segments.
Competitive Landscape
Personal AI is a crowded space, with offerings that range from role-playing chatbots to knowledge replicas for public figures. Uare.ai is betting that strict reliance on first-party data and explicit abstention policies will matter more than broad coverage in professional settings. The strategy prioritizes authenticity, auditability, and brand safety over generalized encyclopedic reach.
Roadmap and Differentiation
The near-term roadmap centers on onboarding flows, corpus creation tools, and guardrails that keep outputs aligned with each user’s intent. Uare.ai plans to deepen evaluation methods that measure how closely the model reflects a person’s voice and decisions across real tasks. Success will depend on delivering dependable performance while keeping data usage transparent and under the user’s control.
With a rebrand, new capital, and a sharpened mission, Uare.ai is positioning personal AI as a dependable professional multiplier. The Human Life Model stakes a claim on authenticity by learning only from a person’s own inputs and declining to guess when information is missing. If the company can translate that philosophy into consistent, measurable results, it could carve out durable trust in a crowded market.