Amiko creates emotional AI companions that disrupt the traditional AI hardware market through decentralized architecture and data autonomy.

We have noted the Humane Pin and recognize its vision: to create a wearable device that seamlessly integrates into daily life as a super AI assistant. However, we also observe a core gap: the market is not lacking functional AI assistants, but rather a truly personal digital companion, akin to the relationships depicted in the movie "Her." We prefer products that resemble "electronic pets (Tamagotchi)" with emotional bonds, a digital presence that evolves alongside the user, providing significant companionship value beyond mere technical execution. Furthermore, we firmly believe that users' data ownership should be firmly in the hands of the users themselves, rather than controlled by third-party platforms.

Amiko is a leading project that aligns with this trend, occupying an excellent position in the next stage of personal AI evolution. Against the backdrop of the rapid expansion of the global dedicated AI hardware market—where the global wearable AI device market is projected to grow from $21.2 billion in 2023 to $221 billion in 2032, with a compound annual growth rate of nearly 30%—Amiko stands out with its differentiated positioning. Unlike large tech companies (such as the collaboration between OpenAI and Apple, or the new device designs led by Jony Ive) that emphasize centralized control and cloud dependency, Amiko adopts a decentralized architecture, granting users complete ownership and control over their data. This core concept builds its full-stack technology solution: emphasizing user sovereignty, a local-first computing model, and an AI relationship system with emotional understanding capabilities. In an era of increasing privacy anxiety, Amiko constructs a strong differentiated competitive barrier through its high focus on user security and emotional connection.

Moreover, Amiko is not a single AI agent but serves as a coordinating hub between software and hardware, accommodating multiple AI agents to work collaboratively, truly integrating into users' daily lives. For example, users can primarily interact with Eliza while also integrating other personalized agents, forming a flexible and diverse AI ecosystem. This system effectively addresses the pain points of centralized cloud AI, such as high latency, lack of personalization, and weak privacy, providing a faster, safer, and more responsive AI experience.

Problems and Solutions

Current mainstream AI devices (especially those launched by large companies) have several structural flaws: they are highly dependent on cloud infrastructure, output uniformity, lack continuous memory functions, and lack personalized expression and companionship, remaining in the "tool" role, making it difficult to establish user stickiness. The more fundamental issue is the lack of emotional interaction: what users truly desire is intelligent hardware that can create emotional connections. This is precisely why the "electronic pet evolution" model meets user needs—users want to cultivate an AI companion that understands them and evolves over time.

The Humane AI Pin provides a representative counterexample. Although it has garnered industry attention and capital support, actual data shows that its total sales over its lifecycle are just above $9 million, with over $1 million worth of products returned. In critical months, its return volume even exceeded sales volume, with only about 7,000 units actually retained in the market, far below the original target of 100,000 units. This indicates that attempting to replace smartphones with a closed, centralized, and emotionally lacking AI device makes it difficult for the product to form a deep connection with users.

Even more advanced strategies, such as OpenAI's integration with the Apple system (like Siri/iOS) or collaboration with Jony Ive to develop new AI hardware, while validating the market's potential, still face key shortcomings: these solutions remain cloud-centric, user data is easily controlled by the platform, and AI agents lack personalized evolution and ownership. Such strategies emphasize computing power and functional output but fail to provide the user sovereignty and emotional evolution path that Amiko emphasizes.

In contrast, Amiko offers a complete, systematic alternative: a personal AI framework built on decentralized computing and hardware autonomy. Its initial form, Kick, will ensure data privacy and processing efficiency through a distributed computing network, while the subsequent Brain will serve as a home hub for complete local AI inference processing, truly achieving device autonomy and data sovereignty. This path balances market rhythm and quickly validates product experience, establishing a paradigm for the widespread deployment of future local AI devices.

Product Composition

• Hardware: including the portable device Kick and the home device Brain, serving as the physical carriers and computation for AI agents.
• Platform Software: including a local inference engine, structured memory system, and agent coordination framework, creating an AI experience with emotional perception capabilities.
• Companionship: supporting various AI agents like Eliza with emotional recognition and expression capabilities, achieving personality connection and companionship interaction.
• Autonomy: supporting a digital twin that grows alongside the user, continuously evolving without relying on specific agents, forming a unique digital individual.

Technology and Architecture

Amiko's architecture is centered on user sovereignty and data privacy, forming significant advantages over centralized platforms. In the Kick phase, AI inference is based on a decentralized network, ensuring data processing remains local; in the Brain phase, all data will be processed on the device, truly achieving "local autonomy."

Core technical components include:

• Local language model: Kick runs a lightweight model, while Brain runs a fine-tuned model, achieving edge-side deployment.
• Memory engine: equipped with structured long-term memory capabilities, simulating human cognitive processes, with private local storage.
• Multi-agent coordination layer: supports multiple AI agents working collaboratively, with the user defining the main agent for scheduling.
• Personality protocol: allows users to define the tone, style, interaction methods, and degree of autonomy for agents.
• MCP protocol: ensures agents have access to local applications and tools while safeguarding data from leakage.

Core Triad Structure

Amiko is built on three core elements that interact and collaborate to achieve a highly personalized AI usage experience:

1. AI agents: diverse AI partners like Eliza and AIxBT, each with different personalities and functions, providing users with task management, communication support, and goal assistance.
2. Digital twin: a personalized AI avatar generated through continuous interaction, deeply understanding user preferences, habits, and behavior patterns, truly representing the user, with all training data owned by the user, usable across agent platforms.
3. User entity: users retain full control, defining the boundaries of the twin and selecting agent composition, ensuring the system always serves individual values and needs.

Market Opportunities

As AI products migrate to hardware, users' demands for personalization, privacy control, and long-term companionship are growing. The multi-agent, decentralized, privacy-first architecture built by Amiko has cross-scenario expansion potential, covering core needs such as productivity, health management, learning, and social communication. Compared to other AI systems that rely on existing platforms or centralized solutions, Amiko offers greater flexibility, adaptability, and user loyalty-building capabilities.

Development Path and Future Potential Amiko's development path is clear, initially validating interaction experience and user feedback through Kick, guiding the preliminary construction of the ecosystem. Subsequently, Brain will achieve full-end autonomy and high-performance local model deployment, fully supporting the operation of digital twins. At the same time, it will launch supporting application feature iterations, open agent market mechanisms, and introduce ecological incentives and multi-level data protection protocols. This development rhythm aligns closely with the evolution trend of AI hardware, providing a realistic foothold for future personal AI operating systems.

Conclusion

At Ryze Labs, we focus on investing in underlying technological architectures that can reconstruct human-machine relationships and computational boundaries. Amiko's product vision, technological path, and emotional philosophy together form the prototype of a new generation of personal AI systems. Its team has demonstrated efficient execution, a clear roadmap, and a commitment to principled values (privacy protection, user control, long-term companionship). In the current market trend of significantly rising demands for data sovereignty and AI personalization, Amiko offers an alternative path distinct from existing tool-based AIs or enterprise assistants. With its edge computing architecture, emotional AI framework, and decentralized control concept, Amiko builds dual moats of emotional and technological barriers. We believe Amiko is redefining the personal AI category: emphasizing presence over prompts, context over convenience, and relationship building over functional mobilization. In a world filled with enterprise assistants, Amiko is the true AI companion that belongs to the user—and will grow alongside them.

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