Embodied Brain

Scenario Models

Built upon years of industry expertise, the scenario model integrates real‑world data such as equipment operation metrics, process parameters, and domain expert knowledge. Standardized processing ensures precise alignment with on‑site production environments. Leveraging a distributed AI architecture together with cutting‑edge large models, it generates embodied intelligent agents featuring strong adaptability for deployment across diverse smart manufacturing scenarios.

Scenario Models

Scenario Models

Knowledge library
Hybrid Retrieval-Augmented Generation (RAG)
Prompt Engineering
Multi-Agent Routing

Integration of Practical Data to Solidify the Foundation of Intelligent Knowledge

  • Real Project Accumulation

    Real Project Accumulation

    Drawing on years of deep‑dive engagement across vertical industries, we aggregate multimodal data from real‑world project deliveries and on‑site operations. This dataset covers equipment SOPs, process flow parameters, raw‑material characteristic data, experimental standards, and expert experience logs.

  • Highly Structured Management

    Highly Structured Management

    All data originates from real‑world project execution records. After filtering, annotation and structuring, the data can be directly mapped to operational nodes and decision logic within production environments, guaranteeing knowledge reusability and executability.

Hybrid Retrieval-Augmented Generation (RAG)

  • Deep Integration of Advanced Models

    Deep Integration of Advanced Models

    Integrating industry knowledge bases with advanced models such as Tongyi Qianwen, leveraging the semantic understanding and generation capabilities of large models to enhance the precision of responses to complex industry problems.

  • Hybrid Retrieval-Augmented Generation (RAG)

    Hybrid Retrieval-Augmented Generation (RAG)

    Combining the advantages of vector search and keyword search, it retrieves the most relevant segments from the knowledge base in real-time, assisting large models in generating more accurate and industry-depth responses, effectively reducing hallucination issues.

Prompt Engineering

  • Structured Instruction Design

    Structured Instruction Design

    Designing different prompt templates for various task scenarios (such as fault diagnosis, process optimization, experiment design) to guide large models to output results according to industry logic.

  • Dynamic Adaptation Mechanism

    Dynamic Adaptation Mechanism

    Supporting automatic adjustment of the prompt hierarchy based on user roles (operator, engineer, manager) to ensure that the generated content matches the readability and professionalism of the use scenario.

Multi-Agent Routing

  • Task Decomposition and Routing

    Task Decomposition and Routing

    Breaking down complex industrial tasks into several sub-tasks, which are handled separately by multiple intelligent agents (such as data retrieval agents, reasoning analysis agents, report generation agents), and sequentially coordinating through a task routing mechanism.

  • Distributed AI Architecture Support

    Distributed AI Architecture Support

    Intelligent agents are deployed based on a distributed AI architecture, ensuring stability in task scheduling and real-time responsiveness under high concurrency scenarios, ultimately building a practical and scalable 'physical intelligent agent.'

Technical Architecture · Layered Empowerment, End-to-End Integration

Building a complete AI ecosystem, from data to applications.

Technical Architecture · Layered Empowerment, End-to-End Integration

Validated at scale in sectors such as new retail,
life sciences, and industry.

New Retail

New Retail

We deliver fully‑automated equipment solutions for leading tea‑beverage brands with tens of thousands of outlets, enabling standardized, high‑efficiency drink preparation.

Life Sciences

Life Sciences

We address key pain points in laboratory operations by delivering fully automated equipment solutions that resolve core challenges spanning data management, environmental control, operational standardization and cost efficiency. This empowers laboratories to advance embodied intelligence from conceptual demonstrations toward scalable, practical real-world deployment.

Intelligent Manufacturing

Intelligent Manufacturing

For the 3C electronics industry, we provide integrated one-stop component solutions that guarantee consistent product interfaces, accelerate development efficiency by 70%, and cut manpower requirements below the industry average.

HITBOT OS

Hitbot OS is an automation software independently developed by Hitbot, the software integrates equipment programming, control, and design capabilities, and can realize the whole design process from solution design to deployment,implementation,and maintenance.
Beyond supporting standard hardware integration, Hitbot OS is also compatible with most mainstream automation products on the market. It enables straightforward development of automated solutions to cut costs and boost operational efficiency.

Reshape the automation workflow

Hitbot OS is an automation software independently developed by Hitbot, the software integrates equipment programming, control, and design capabilities, and can realize the whole design process from solution design to deployment, implementation, and maintenance.
Beyond supporting standard hardware integration, Hitbot OS is also compatible with most mainstream automation products on the market. It enables straightforward development of automated solutions to cut costs and boost operational efficiency.

01

Build skills via simulation and gain experience within virtual environments.

HITBOT OS simulation training is a virtual training engine that creates a high-fidelity physical interaction environment, allowing intelligent agents to repeatedly experiment and learn skills in virtual scenarios. It optimizes strategies and packages them into a skills library to support real-world applications.

Build skills via simulation and gain experience within virtual environments.
Core capability
Advantage
02

Preset Skills
enabling low-threshold automation construction

The HITBOT OS embodiment execution matrix serves as the 'body and senses' of the intelligent agent, achieving deep integration of software and hardware. It allows for flexible configuration of devices such as robotic arms and grippers, and collects data through multimodal sensing to provide real experiences for cognitive evolution.

Preset Skills 
enabling low-threshold automation construction
Typical
Preset Skills
Advantages
03

Deep integration of hardware and software to build a standard execution unit library.

The HITBOT OS embodiment execution matrix serves as the 'body and senses' of the intelligent agent, achieving deep integration of software and hardware. It allows for flexible configuration of humanoid devices such as robotic arms and grippers, and collects data through multimodal sensing to provide real experiences for cognitive evolution.

Deep integration of hardware and software to build a standard execution unit library.
Product Matrix
Vast Third-Party Library
Advantages

Try Building Your Automation Scene

Say goodbye to the hassle of starting from scratch, HITBOT OS has set up a comprehensive automation system template covering all industries for you. From rapid setup to digital twins, every mature solution can be directly reused and flexibly adjusted, allowing your automation workflow to be implemented immediately and iterated efficiently.

Fully Automatic Strain Construction Platform
Fully Automatic Strain Construction Platform

Fully Automatic Strain Construction Platform

Flux increases by over 10 times, while labor costs are reduced by 80%.