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Agent × Robot
AI Workforce Platform

The world's first AI workforce platform built on the deep integration of Agents (the digital brain) and Robots (the embodied execution layer).

NeuxMind.AI delivers standardized labor units (AI Worker) to enterprises that are deployable, verifiable, operational, and scalable, empowering customers to achieve cost reduction, efficiency gains, and organizational process upgrades.

A New Paradigm for the Full-Spectrum AI Workforce

One Brain, Many Bodies

One shared foundation that spans the digital and physical worlds—turning "capability" into a workforce that can be delivered, operated, and scaled.

01Agent

Digital AI Workforce

An AI workforce that delivers outcomes in the data world

Built around mission-critical enterprise workflows, it independently completes closed-loop task delivery and continuously accumulates operational know-how, driving business toward automation and autonomy.

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02Robot

Embodied AI Workforce

An AI workforce that shows up and delivers in the physical world

Built for real-world, on-site operational workflows, it handles day-to-day operations and service fulfillment, driving offline operations toward automation and autonomy.

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Powered by Super Agent, delivered as standardized AI Worker units

Super Agent

Enterprise-ready intelligent agents: turning professional capability into reusable assets

NeuxMind.AI focuses on core enterprise roles and mission-critical workflows, structuring the intelligence, methodology, and execution of human employees into Super Agent—capability assets that are deployable, reusable, and scalable.

Agent

Intelligence & Memory

Responsible for understanding, reasoning, planning, and multi-turn collaboration—the central hub for decision-making and orchestration.

Skills

Role Methodology & Enterprise Assets

Encapsulate SOPs, expert know-how, and proprietary knowledge bases to create reusable role capabilities.

Tools

Software / Systems / Interfaces

Connect ERP, CRM, and a wide range of web applications to empower agents with real-world agency.

AI Worker

Standardized workforce unit: Deployment and Settlement Models for Super Agent

Once a Super Agent is bound to a clearly defined role boundary and delivery scope, and passes enterprise-grade acceptance and governance, it becomes an AI Worker—a standardized unit of labor that can be accepted based on outcomes.

AI Worker

Stop buying software—deploy AI Workers directly

Six Core Advantages of AI Workers

01

Elastic Deployment, Staffing on Demand

Plug directly into business workflows with role- or outcome-based billing and flexible labor allocation.

02

Rapid Learning, Instant Skill Replication

Replicate role-specific expertise and SOPs so it can perform from day one and improve with every deployment.

03

Continuous Evolution Beyond the Baseline

Real-world feedback drives iteration, continuously raising performance beyond the human expert baseline.

04

Synthetic Data, Evolved On Site

Pretrained on synthetic data off-domain, then aligned to real roles through On-Site Training inside the domain—with data never leaving the environment.

05

Industrial-Grade Governance, Security, and Compliance

Clear permissions, traceable processes, and outcome-based acceptance—enabling compliant production deployment.

06

Unified Deployment Across Digital and Physical Environments

One shared foundation spanning digital and physical operations, with unified orchestration and scalable cross-scenario deployment.

Enterprise-grade delivery standards: deployable, verifiable, and continuously evolving

Deployment & Delivery System

01

Scenario Reconstruction

Deconstruct enterprise workflows and business-process boundaries, turning role tasks into scalable, standardized labor units (AI Workers).

02

Value Packaging

Inject human expert methods and proprietary domain knowledge, and package them into role-specific skill packs that can be called on demand.

03

Dispatch Activation

Full-stack system integration and permission enablement allow AI Workers to enter 24/7 closed-loop task delivery immediately.

04

Intelligence Compounding

Task feedback powered by reinforcement learning continuously raises the professional performance ceiling.

Dual-Engine Foundation: The Infrastructure for the AI Workforce

Morphis

Scenario Foundation Model Platform

Cognitive Core

Drive AI Workers from standardized delivery to closed-loop self-evolution.

Evolution Engine

Built on a reinforcement learning foundation, it continuously raises the performance ceiling—approaching and surpassing expert-level capability.

Robot OS

Embodied Operating System

Execution Core

Abstract away the complexity of heterogeneous platforms, standardizing capabilities delivery across diverse robot forms with distinct professional identities.

Governance Engine

Unify task orchestration and security compliance, supporting agile, cross-form collaboration.

Core Concept
One Brain, Many Bodies — a single cognitive core powering both digital and embodied AI workforces.

Delivering the AI Workforce with Global Clients and Partners

ARAMCO
STC
NEOM
SABIC
MISA
ADNOC
G42
GITEX
SDAIA
THIQAH
HUAWEI
ALIBABA CLOUD
LENOVO
INSPUR
IFLYTEK
SOFTBANK
NTT DATA
NEC
FUJITSU
RAKUTEN
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
ARAMCO
STC
NEOM
SABIC
MISA
ADNOC
G42
GITEX
SDAIA
THIQAH
HUAWEI
ALIBABA CLOUD
LENOVO
INSPUR
IFLYTEK
SOFTBANK
NTT DATA
NEC
FUJITSU
RAKUTEN
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Partner
Global Delivery Network:
Deploy AI Workers Locally

Global Delivery Network: Deploy AI Workers Locally

Spanning multiple time zones, languages, and regulatory environments, it supports unified delivery and operations from digital to embodied deployment.

Global Operations Headquarters

Singapore

4R&D Centers

Beijing, Nanjing, Shenzhen, and Riyadh

5Subsidiaries & Representative Offices

Saudi Arabia, Japan, Qatar, the UAE, and Hong Kong SAR