General-specialized integration AGI


The platform integrates professional AI agents, massive research datasets, and experimental equipment, providing global researchers with all-in-one scientific research support from hypothesis to validation.

The platform integrates professional AI agents, massive research datasets, and experimental equipment, providing global researchers with all-in-one scientific research support from hypothesis to validation.
Your efficient science assistant, empowering you to navigate the all-in-one AI laboratory
50+ professional institutions
100+ specialized instruments
200+ scientific datasets
200+ research tools


Empowers researchers to explore the microscopic world with unparalleled efficiency and precision, driving innovation in materials science.

Empowers researchers to explore the microscopic world with unparalleled efficiency and precision, driving innovation in materials science.
AI+EPR
Decode spectra in seconds,
trace origins through spectral recognition


The seed industry LLM, with its powerful comprehension and analytical capabilities, significantly lowers the learning barrier in the field of seed science and empowers practitioners to enhance their research and practical efficiency.

The seed industry LLM, with its powerful comprehension and analytical capabilities, significantly lowers the learning barrier in the field of seed science and empowers practitioners to enhance their research and practical efficiency.
Combine InternLM2.0
Vertical focus on biological breeding
Variety selection, agronomic traits, promotion regions, cultivation techniques.


An all-round multimodal generative LLM trained entirely by domestic emerging heterogeneous computing interconnection technology.

An all-round multimodal generative LLM trained entirely by domestic emerging heterogeneous computing interconnection technology.
Heterogeneous hybrid training
97.5% efficiency (1.6x improvement)
Virtual-real integrated physical intelligence
Virtual-Real Integration and Physical Intelligence


Constructs three core engines—simulation, data, training & testing— to cope with full-chain challenges of embodied intelligence from data handling and training to practical application, advancing embodied brains from "fragmented development" to the era of "full-stack mass production."

Constructs three core engines—simulation, data, training & testing— to cope with full-chain challenges of embodied intelligence from data handling and training to practical application, advancing embodied brains from "fragmented development" to the era of "full-stack mass production."
One Brain,
Multiple Forms
Integrated training and testing
Virtual-Real Integration


The generative world model, AETHER, is trained entirely on synthesized data. It not only displays leading performance in traditional reconstruction and generation tasks but also, for the first time, endows LLMs with 3D spatial decision-making and planning capabilities in the real world. It can assist robots in completing complex tasks such as goal-directed visual planning, 4D dynamic reconstruction, and action-conditioned video prediction.

The generative world model, AETHER, is trained entirely on synthesized data. It not only displays leading performance in traditional reconstruction and generation tasks but also, for the first time, endows LLMs with 3D spatial decision-making and planning capabilities in the real world. It can assist robots in completing complex tasks such as goal-directed visual planning, 4D dynamic reconstruction, and action-conditioned video prediction.
Goal-directed visual planning
4D dynamic reconstruction
Action-conditioned video prediction
Secure and Trustworthy AI
Evaluation System


Provides an open-source, efficient, and comprehensive platform for evaluating LLMs, designed for both open-source contributors and users. Offers one-stop evaluation services for LLMs, multimodal models, and other types of models. Comprehensively quantifies model performance across five key dimensions: knowledge, language, comprehension, reasoning, and examinations, offering objective and neutral technical support to drive innovation in LLM technology.

Provides an open-source, efficient, and comprehensive platform for evaluating LLMs, designed for both open-source contributors and users. Offers one-stop evaluation services for LLMs, multimodal models, and other types of models. Comprehensively quantifies model performance across five key dimensions: knowledge, language, comprehension, reasoning, and examinations, offering objective and neutral technical support to drive innovation in LLM technology.
CompassHub
evaluation set community: Delivers highly timely and high-quality evaluation datasets.
CompassKit
evaluation tool: Supports efficient evaluation and capability analysis.
CompassRank
performance learderboard: Publishes authoritative rankings to reveal industry trends.

Medical LLM application testing and verification center
As the nation’s first testing and verification center for medical LLM applications, it integrates "training, evaluation, and application" into a seamless pipeline, providing direction and safety assurance for industrial applications, while fostering ecosystem growth. The center has completed evaluations for medical LLM application scenarios across 12 hospitals in Shanghai, standardizing and promoting industrial upgrading.
Medical LLM application testing and verification center
As the nation’s first testing and verification center for medical LLM applications, it integrates "training, evaluation, and application" into a seamless pipeline, providing direction and safety assurance for industrial applications, while fostering ecosystem growth. The center has completed evaluations for medical LLM application scenarios across 12 hospitals in Shanghai, standardizing and promoting industrial upgrading.
Covers evaluations for over 10 sub-scenarios across 32 scenarios outlined in the national Reference Guide for Artificial Intelligence Applications in the Healthcare Industry.
Foundation Platform


An open artificial intelligence computing architecture that supports heterogeneous integration of domestic multi-chips and cross-domain training-inference integrated toolchains. It aims to build a bridge for adapting hardware chips and deep learning software frameworks, jointly fostering an open software-hardware adaptation ecosystem.

An open artificial intelligence computing architecture that supports heterogeneous integration of domestic multi-chips and cross-domain training-inference integrated toolchains. It aims to build a bridge for adapting hardware chips and deep learning software frameworks, jointly fostering an open software-hardware adaptation ecosystem.
Open, Comprehensive, Efficient, Simple
Cross-domain mixed training over thousands of kilometers
Ultimate performance acceleration for compilation and communication


A data openness platform offering developers full-chain AI data support, addressing risks and challenges in data processing, and empowering the large model field through comprehensive data enablement.

A data openness platform offering developers full-chain AI data support, addressing risks and challenges in data processing, and empowering the large model field through comprehensive data enablement.
Data standardization, multi-dimensional flexible retrieval, data visualization, free high-speed downloads.
150,000+
Registered users
4 million+
Cumulative data access
services provided
over 7700
Datasets
Industry Application


China's first AI sports tactics LLM,capable of acquiring and analyzing key parameter information in real-time solely from sports video footage, providing AI support for live sports broadcasting and athlete performance analysis.

China's first AI sports tactics LLM,capable of acquiring and analyzing key parameter information in real-time solely from sports video footage, providing AI support for live sports broadcasting and athlete performance analysis.
Extracts technical and tactical metrics solely from a single broadcast PGM signal (final broadcast signal).
Dynamic time-slicing technology


The first AIGC series animation “Thousand Autumns: Ode to Poems” produced by China Media Group (CMG) based on its audio media LLM MediaGPT. The animation reached over 100 million domestic viewers and 1.1 billion overseas viewers. Aired globally on over 70 mainstream media outlets in more than 10 language versions including English, Spanish, French, and Arabic.

The first AIGC series animation “Thousand Autumns: Ode to Poems” produced by China Media Group (CMG) based on its audio media LLM MediaGPT. The animation reached over 100 million domestic viewers and 1.1 billion overseas viewers. Aired globally on over 70 mainstream media outlets in more than 10 language versions including English, Spanish, French, and Arabic.
Join Us
We are recruiting top talent worldwide to conduct strategic, original, and forward-looking scientific research and tackle key technological challenges. Together, we aim to build a world-class laboratory.





















