PuzzleOmni
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
- Traceable human-in-the-loop workflow: annotation review, logging, and process replay
- Large and small model synergy: multimodal training and agent-based reasoning
Data Governance
Unified management of multi-source pathology data, with standardized processing and intelligent search to establish a high-quality data foundation.
R&D Platform
Convenient environments for model training, validation, and release, accelerating AI algorithm iteration and translation into practice.
Tool Deployment
Encapsulates AI capabilities as services for flexible deployment across application scenarios, accelerating practical adoption.
Assisted Diagnosis
Real-time, intelligent diagnostic support for pathologists to improve diagnostic efficiency and accuracy.
Core Value in Pathology
Key capabilities for improving efficiency across the entire pathology workflow.
Efficiency Gains and Workload Reduction
AI-assisted slide review and automated structured report generation substantially reduce repetitive work, enabling pathologists to focus on complex case diagnosis.
Research Efficiency and Quality
Standardized data management and convenient model-training tools accelerate research projects and output; built-in AI agents autonomously orchestrate tools, invoke models, optimize workflows, and continuously learn and evolve.
Data and AI Asset Management
Organizes hospital data and knowledge resources, builds and manages AI assets, and supports AI-assisted diagnostic services inside and outside the hospital.
Core Positioning
A general-purpose AI operating system for pathology.
Resource Management and Interfaces
Data Governance
Data Governance: AI-assisted data collection and search through PIS integration, with dataset import and conversion into standard formats for data construction.
Permission Management
Access Control: unified management of model tools through the model platform, with connections to scanners and server clusters through hardware interfaces.
Workflow & Compute Engine
Model Training
AI-assisted training of both large and small models using local data.
MCP Deployment
Unified scheduling of large and small model tools, deployed as API tools or agents.
Smart Assistant
A native system-level AI assistant for research and application workflows.
Application & Interaction Platform
PuzzleSeg Slide Viewer
Advanced interaction design and modular AI tool deployment, using trained models for assisted diagnosis.
PuzzleAgent Report System
Advanced agent tools and leading interaction design, supporting modular AI deployment and creating explainable, interactive, and traceable end-to-end workflows.
More Application Tools
Continuously expands the application ecosystem to cover more pathology scenarios.
Resource Management and Interfaces
Workflow & Compute Engine
Application & Interaction Platform
Data Governance
Data Governance: AI-assisted data collection and search through PIS integration, with dataset import and conversion into standard formats for data construction.
Model Training
AI-assisted training of both large and small models using local data.
PuzzleSeg Slide Viewer
Advanced interaction design and modular AI tool deployment, using trained models for assisted diagnosis.
Permission Management
Access Control: unified management of model tools through the model platform, with connections to scanners and server clusters through hardware interfaces.
MCP Deployment
Unified scheduling of large and small model tools, deployed as API tools or agents.
PuzzleAgent Report System
Advanced agent tools and leading interaction design, supporting modular AI deployment and creating explainable, interactive, and traceable end-to-end workflows.
Smart Assistant
A native system-level AI assistant for research and application workflows.
More Application Tools
Continuously expands the application ecosystem to cover more pathology scenarios.
Four Core Highlights
Comprehensive capabilities spanning research, model training, agent systems, and system integration
AI Ideas
Research & system navigation
Multimodal Pathology Model Training & Inference
Closes the loop from data collection to model inference.
Multi-Agent System
Supports agent configuration and collaborative execution.
Cloud Services & System Integration
Supports platform deployment and continuous operations.
Closed-Loop Flywheel from Data to Diagnostic Support
Builds a continuous feedback loop in which data, models, and applications reinforce one another.
Intelligent Data Governance
After integration with PIS, the intelligent assistant helps import datasets and convert them into standard formats.
Interactive Model Training
Supports AI-assisted training of large and small models using local data.
AI Service Management
Supports compute deployment for model services and unified management of data resources.
Intelligent Assisted Diagnosis
Deploys trained models as modular components in the AI slide viewer for assisted diagnosis and data annotation.
Business feedback continuously flows back to data governance and model training stages, forming a self-reinforcing "data-model-application" cycle.
Layered System Architecture
Three-layer coordination across the application layer, AI service layer, and system layer to provide end-to-end, production-grade support.
Platform Application Layer
AI & Integration Service Layer
Infrastructure Service Layer
PuzzleOmni provides end-to-end production support through coordinated application, AI service, and system layers.
FAQ
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Content on this page is for product capability introduction and does not constitute medical diagnostic advice