Leading AI Superintelligence Into the Physical World

Moving intelligence beyond the screen and into devices, homes and industrial settings.

Details

Xinan AI Tech connects model capabilities with real-world needs through personal agents, intelligent devices, distributed compute and engineering delivery.

Intelligent hardware and software validation in a real-world setting · AI concept · Not a project photograph or product specification — Concept

Our core work is to build the devices, infrastructure and trustworthy operating methods that bring AI into the physical world.

Hangzhou Xinan AI Tech develops and delivers integrated AI software and hardware systems. We ask not only whether a model can answer a question, but whether intelligence can connect to devices, understand a setting, handle a task and operate safely over time under the user's control.

We begin with a personal AI agent that keeps models, data and interaction close to the user. DCP distributed compute-power coordination and compute-center engineering provide resources for endpoints and regions. Smart toys and enterprise applications turn those capabilities into products and systems that people can experience and evaluate.

Leading AI superintelligence into the physical world is our long-term mission, not a claim that today's products have general superintelligence. We distinguish concepts, validated prototypes, pilots and contracted delivery, with explicit performance, privacy, safety and acceptance criteria at every stage.

From AI capability to the physical world

Useful intelligence needs a device, dependable resources and a defined context of use.

A physical presence

Bring models and local agents to personal devices, smart toys and industrial terminals so sensing, interaction and task execution happen where they are needed.

A resource foundation

Connect endpoint nodes, distributed networks and compute centers. Place work according to latency, energy, data location and cost.

A clear boundary

Design for consent, privacy, human override, recovery and traceability. Validate actions on real devices and external connections before scaling them.

Six paths, one direction

From personal products and content production to infrastructure, connecting AI experiences, applications and delivery.

Mirror Realm Private Compute Hardware

Mirror Realm compute boxes and private AI workstations are deployment options for the Custom Private Super Agent, not a separate agent service. Models, compatibility and hardware/software delivery scope are validated and agreed separately for each project.

Choose deployment hardware

Smart Toys & Children's Gifts

Developing AI plush companions, interactive stories and family experiences, with age-appropriate content, guardian controls, hardware safety and gift experience under staged validation.

Explore Smart Toys

DCP Distributed Compute-Power

Researching task scheduling, metering, energy matching and data governance across personal, community and regional nodes to create manageable distributed infrastructure.

Explore DCP

Compute Center Construction

Engineering collaboration for national and regional projects, from facilities and networks to platform integration and custom systems. Scope and responsibility depend on formal agreements.

Solutions and Ghana case

Local AI & Enterprise Systems

Deploying models, private knowledge bases and workflows in enterprise environments, connecting existing software, devices and services one authorized process at a time.

Explore local AI

Custom AI Short Dramas

Commission story development, scripts, characters, shots, editing, sound, delivery and launch support. Pilot, series and batch projects use staged creative, rights and acceptance approvals.

Explore short-drama production

Custom AI software, hardware and systems

From requirements and prototypes to integration and deployment, agree the scope, deliverables and acceptance criteria for each project.

Custom software and hardware development

Applications, business platforms, embedded firmware, hardware selection and integration. Scope may include enclosure and circuit design, interface adaptation, prototype integration and testing, as agreed in the project contract.

Discuss software and hardware

Custom AI super-agent development

Private knowledge, multimodal interaction, tool use, multi-agent coordination and device-control workflows for personal and enterprise needs. Authorization, human approval, audit logs and recovery bound execution. Super-agent is a service name, not a claim of general superintelligence.

Discuss an AI agent

Custom AI models and quantitative trading systems

Model selection, fine-tuning, RAG, evaluation and private deployment within authorized data and compute budgets. Develop research, backtesting, paper trading, market and execution interfaces, risk controls and monitoring. Live use requires separate permission, reliability and applicable-requirement checks. No return promises; backtests do not predict future results.

Discuss models and trading systems

Turn the vision into verifiable engineering

Start with the task, device, data and risk. Prove feasibility before expanding scale.

01 Define the setting

Identify the user, device location, AI task, data permissions, budget and success criteria.

02 Build and validate

Test hardware-software fit, models and networks, including interaction quality, sustained loads, privacy and failure handling.

03 Deploy and accept

Deliver the agreed prototype or system, complete on-site integration and acceptance, and hand over configurations, guides and open issues.

Engagement and delivery

04 Operate and iterate

Monitor, resolve incidents, update versions and review capacity within the service scope. Use actual data to guide expansion.

Credible progress, not inflated promises

Technical maturity, ecosystem relationships and data responsibilities must remain explicit.

Product maturity

Distinguish concepts, lab validation, pilots and delivered capabilities. Mirror Realm compute hardware configurations and Smart Toy features depend on published validation and formal product information.

Engineering validation

Partnership boundaries

Chip, model and platform names identify technology sources or compatibility goals, not authorization, joint launches or existing commercial partnerships. Contracts define compute-center roles.

Data and safety

Define ownership, least-privilege access, storage and deletion, human override and recovery. Joining a collaboration network does not automatically share private data.

Privacy information

R&D and custom development

Start with a business problem. Bring software, agents, devices and models together in a deliverable solution.

Explore services and resources

Software & digital experiences

Turn business workflows into useful software and brands into clear customer journeys.

AI software development

Connect models to real work: knowledge search, business assistants, multimodal apps and auditable automation.

Custom websites

Mobile-first brand websites, service portals, international storefronts and business dashboards.

Engineering & energy systems

Connect devices, sites and dispatch platforms, from research validation to engineering delivery.

Technology R&D

From feasibility to engineering prototypes, advance software and hardware through experiments and stage gates.

VPP & equipment R&D

Connect energy resources, edge controllers and dispatch platforms through aggregation, gateways and custom equipment.

Models & business agents

Build measurable, controlled models and automation around authorized data and real business needs.

Cross-border commerce agents

Connect product research, content, support, orders and analytics; automate routine tasks with human control of critical decisions.

Model R&D, training & reinforcement learning

Work within authorized data, model goals and compute budgets: pretraining assessment, SFT, preference optimization, RL and private deployment.

If AI needs to work in a real device or setting, tell us the task, environment and constraints. We will start with a verifiable first step.

Discuss a use case

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Hardware and everyday applications

Office agent collaboration
An office workflow concept for document retrieval, drafting and human approval. AI-generated scene concept, not a photograph or a delivered customer case.

Firmware development bench
A development concept for routers, embedded devices and firmware debugging. AI-generated scene concept, not a photograph or a delivered customer case.