PuzzleOmni
From data import and format conversion to model training and intelligent slide reading, build a traceable, collaborative, and continuously iterating pathology AI production loop.
- End-to-end integration: unified management of data, models, tasks, and inference
- Human-in-the-loop traceability: annotation review, logging, and process replay
- Large-small model synergy: multimodal training and agent-based reasoning
Four Core Highlights
Comprehensive capabilities spanning research, model training, agent systems, and system integration
The Closed-Loop Flywheel from Data to Diagnostic Support
Continuous feedback loop for data-model-application self-reinforcing cycle
Data Import
Import datasets and standardize into training-ready formats
Data Governance
Unified management of data and model assets ensuring availability and consistency
Model Training
Complete large and small model training and fine-tuning with local or cloud resources
Assisted Diagnosis
Provide intelligent assisted slide reading and analysis through trained models
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 synergy of Application + AI Service + System layers for end-to-end production support
Platform Application Layer
AI & Integration Service Layer
Infrastructure Service Layer
PuzzleOmni achieves end-to-end production support through three-layer synergy of Application + AI Service + System layers.
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Content on this page is for product capability introduction and does not constitute medical diagnostic advice