Solving Pathology Challenges with AI
PuzzleLogic is dedicated to providing cutting-edge AI pathology solutions for hospitals, enterprises, and research institutions.
Core Products
A full-stack AI product portfolio for digital pathology research, diagnosis, and clinical translation
PuzzleOmni
A General-Purpose AI Operating System for Pathology
An operating-system-level architecture for AI-enabled pathology departments, integrating data governance, R&D, tool deployment, and computer-aided diagnosis into a closed loop that enables pathology data and AI assets to flow intelligently from production to application.
End-to-End Workflows
Unified management of data, models, tasks, and inference across end-to-end pathology workflows.
Traceable Human-in-the-Loop Workflow
Traceable human-in-the-loop workflow with annotation review, logging, and process replay.
Large and Small Model Synergy
Supports multimodal training and agent-based reasoning, with large and small models working together.
PuzzleOmni
A General-Purpose AI Operating System for Pathology
An operating-system-level architecture for AI-enabled pathology departments, integrating data governance, R&D, tool deployment, and computer-aided diagnosis into a closed loop that enables pathology data and AI assets to flow intelligently from production to application.
End-to-End Workflows
Unified management of data, models, tasks, and inference across end-to-end pathology workflows.
Traceable Human-in-the-Loop Workflow
Traceable human-in-the-loop workflow with annotation review, logging, and process replay.
Large and Small Model Synergy
Supports multimodal training and agent-based reasoning, with large and small models working together.
PuzzleVision
Next-Gen Pathology Collaboration Platform
PuzzleVision is a digital pathology image viewing platform centered on intelligence, all-scenario coverage, and high security. It serves pathologists, medical researchers, and healthcare administrators by addressing core pain points in pathology image viewing, annotation, collaboration, and deployment.
Unified Slide-Review Experience
Connects to the Pathology Information System (PIS) or imports local data, adapts flexibly to different work scenarios, and provides an advanced interactive experience for diagnosis and annotation.
Extensible Plugin Ecosystem
Modular access to the AI ecosystem, covering multi-parameter prediction with small models, in-slide analysis with multimodal foundation models, interactive region segmentation, protein/spatial transcriptomics prediction, agent-based pathology report generation, and more.
Multi-Scenario Deployment
Supports multi-terminal access and multi-platform deployment, offering cloud, hospital, and local modes to meet different data privacy and compliance requirements.
PuzzleVision
Next-Gen Pathology Collaboration Platform
PuzzleVision is a digital pathology image viewing platform centered on intelligence, all-scenario coverage, and high security. It serves pathologists, medical researchers, and healthcare administrators by addressing core pain points in pathology image viewing, annotation, collaboration, and deployment.
Unified Slide-Review Experience
Connects to the Pathology Information System (PIS) or imports local data, adapts flexibly to different work scenarios, and provides an advanced interactive experience for diagnosis and annotation.
Extensible Plugin Ecosystem
Modular access to the AI ecosystem, covering multi-parameter prediction with small models, in-slide analysis with multimodal foundation models, interactive region segmentation, protein/spatial transcriptomics prediction, agent-based pathology report generation, and more.
Multi-Scenario Deployment
Supports multi-terminal access and multi-platform deployment, offering cloud, hospital, and local modes to meet different data privacy and compliance requirements.
Core Technical Components
Breakthrough pathology AI innovation, bringing revolutionary solutions to medical diagnostics
PuzzleAgent
The First Interactive Multi-Agent Pathology Report Platform
We pioneered a human-AI collaborative system with full-chain transparency—from visual evidence retrieval to diagnostic reasoning—boosting the efficiency and quality of pathology report generation.
Multi-Scale Analysis
Automatically identify and analyze pathological features at different magnifications
Intelligent Collaboration
Multi-agent system working collaboratively, simulating expert consultation process
Traceability
Complete recording of analysis process, providing interpretable diagnostic evidence
PuzzleAgent
The First Interactive Multi-Agent Pathology Report Platform
We pioneered a human-AI collaborative system with full-chain transparency—from visual evidence retrieval to diagnostic reasoning—boosting the efficiency and quality of pathology report generation.
Multi-Scale Analysis
Automatically identify and analyze pathological features at different magnifications
Intelligent Collaboration
Multi-agent system working collaboratively, simulating expert consultation process
Traceability
Complete recording of analysis process, providing interpretable diagnostic evidence
Triplet V1
The First Foundation Model for Pathology Multi-scale Reasoning
Triplet V1 features cross-scale reasoning as its core capability, enabling the model to perform visual planning, step-by-step verification, and conclusion convergence like a pathologist, with traceable evidence chains.
Cross-scale Reasoning, Fully Explainable
Triplet features unique multi-scale explainable evidence chain training with stepwise evidence-based reasoning, enabling clinically auditable reasoning expressions.
Interactive reasoning and traceable evidence
Stepwise display from low-magnification tissue architecture to high-magnification cytological evidence; clinicians can modify and trace at any time, forming a closed-loop reasoning workflow.
Human-in-the-loop Data Flywheel
Human-in-the-loop data annotation: AI generation, clinician review, and feedback training build a data-to-AI capability flywheel for continuous improvement.
Triplet V1
The First Foundation Model for Pathology Multi-scale Reasoning
Triplet V1 features cross-scale reasoning as its core capability, enabling the model to perform visual planning, step-by-step verification, and conclusion convergence like a pathologist, with traceable evidence chains.
Cross-scale Reasoning, Fully Explainable
Triplet features unique multi-scale explainable evidence chain training with stepwise evidence-based reasoning, enabling clinically auditable reasoning expressions.
Interactive reasoning and traceable evidence
Stepwise display from low-magnification tissue architecture to high-magnification cytological evidence; clinicians can modify and trace at any time, forming a closed-loop reasoning workflow.
Human-in-the-loop Data Flywheel
Human-in-the-loop data annotation: AI generation, clinician review, and feedback training build a data-to-AI capability flywheel for continuous improvement.
UnPuzzle
One of the first Open Source Unified Framework for Pathology AI Research
Provides unified pathology AI research framework supporting multiple algorithmic models with high compatibility and flexibility, accelerating pathology AI technology development.
Unified Framework
Standardized research toolchain, simplifying development process
Modular Design
Flexible architecture design, supporting rapid customization and extension
Community Driven
Support the open source community for continuous innovation and improvement
Easy to Implement
Integrating the MCP server plugin, user can effortlessly implement models into diagnosis and refine them.
UnPuzzle
One of the first Open Source Unified Framework for Pathology AI Research
Provides unified pathology AI research framework supporting multiple algorithmic models with high compatibility and flexibility, accelerating pathology AI technology development.
Unified Framework
Standardized research toolchain, simplifying development process
Modular Design
Flexible architecture design, supporting rapid customization and extension
Community Driven
Support the open source community for continuous innovation and improvement
Easy to Implement
Integrating the MCP server plugin, user can effortlessly implement models into diagnosis and refine them.
Our Position
A handy tool in diagnosis, a reliable role in innovation.
Mission: Advancing intelligent pathology healthcare through technological innovation.
Vision: Providing world-leading AI solutions in pathology to enhance diagnostic quality and efficiency, and to expand clinical applications.
What Sets Us Apart
Based on deep technical expertise and rich industry experience, we have built unique competitive advantages in AI pathology
Advanced AI Multi-Agent System
PuzzleAgents —the state-of-the-art multi-agent framework for pathological report generation, providing transparent evidence-seeking and reasoning system for human-in-the-loop diagnostic collaboration for pathologists and researchers.
Frontier AI Expertise
Our team members possess years of experience in pathological AI, with 200+ high-impact academic publications, presenting a leading role in medical image and computational pathology.
International Research Collaboration
We maintain close partnerships with several well-known universities and hospitals such as the National University of Singapore and UC Irvine, driving continuous innovation in pathological AI research and its clinical translation.
Large-scale Data governance
Our self-developed framework processes tens of millions of public and private pathology images with 10–100× greater efficiency* than recent methods, enabled by a clustered NAS system for scalable, high-throughput analysis.
Industrial Partnerships
From pathology scanners to cloud services, we have established multiple joint laboratories and maintain deep strategic partnerships with industry leaders including KFBIO.
Data Center Infrastructure
Our self-owned data centers provide high-security, high-performance compute and storage. Our cloud crew ensures stable operations and continuous system optimization for AI research and development.
Partners
Collaborating with industry leaders to advance digital pathology
Driving the Future of Pathology AI Technology
We are committed to making precision medicine accessible through innovative technology and open collaboration
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