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AutoPilot + CoPilot
Leading a new paradigm in drug development

01
Multimodal Large Models

Biomedical multimodal open-source foundation model: BioMedGPT-R1, full-atom foundation model: PharMolix-FM, biomedical reasoning large model: ChatDD-R1

02
Full-Process Intelligent Agents

Next-generation human-machine interaction drug development assistants: ChatDD-Insight, ChatDD-Discovery, ChatDD-Trial

03
Agent Knowledge Graph

Redefining knowledge graphs in the era of large models: PharMolixKG, integrating millions of authoritative entities and hundreds of millions of relationship data

Biomedical Multimodal Open-Source Large Model
Full-Atom Foundation Model
Biomedical Reasoning Large Model
01
Biomedical Multimodal Open-Source Large Model
Biomedical multimodal open-source foundation model BioMedGPT-R1, protein mutation interpretation model MutaPLM (NeurIPS2024), single-cell identity recognition model LangCell (ICML2024), small molecule text fusion model MV-Mol (KDD2024)
02
Full-Atom Foundation Model
Industry-leading full-atom foundation model PharMolix-FM. Additionally, 2024 work on atomic-level large and small molecule unified representation learning published in ICML2024
03
Biomedical Reasoning Large Model
AgentKG dynamic knowledge graph and multimodal retrieval augmentation technology, combined with reasoning large models with biomedical logic, achieving precise Q&A and data insights beyond industry benchmarks
ChatDD - Insight background

ChatDD - Insight

Focused on project research scenarios, integrating PharMolix AgentKG dynamic knowledge graph and multimodal retrieval enhancement technology, achieving precise Q&A and data insights beyond industry benchmarks

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ChatDD - Discovery background

ChatDD - Discovery

Creating a new paradigm of biological modality interaction, equipped with intelligent semantic parsing engine, conversational calling of industry SOTA algorithms, combined with professional visualization interface to enhance research efficiency

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ChatDD - Trial background

ChatDD - Trial

Focusing on clinical scenarios, combining professional recommendations from ChatDD retrieval engine with user-customized data integration, human-machine collaboration mechanism efficiently drafts medical documents compliant with regulatory standards

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Building globally leading multimodal large models for biomedicine

Models
10+
Industry-leading proprietary self-developed large models
Data
>100M
High-quality data screened by biomedical experts
Entity
80M
Number of key entities such as drugs, targets, diseases, and companies in the knowledge graph
Partners
AHG
Aixin Pharma
Bio-Artificial
Shengraner
Protein
Darentang
DingTalk
Fosun
HitGen
Jinsai
Kainuo
Meijing
Meikangda
Meinian Health
Sanhuan
Sirius
Tianjin Pharma
Xuzhenda
Yaodu
Yingfei Pharma