---
title: "Jiangtong AI Model Evolution Platform | Industrial AI Lifecycle Management"
canonical_url: "https://www.jungt.com/en/algorithm-platform"
last_updated: "2026-09-16T01:16:18.039Z"
locale: en
meta:
  description: "An industrial AI platform for data governance, assisted annotation, model training, validation, release and continuous evolution."
  "og:description": "An industrial AI platform for data governance, assisted annotation, model training, validation, release and continuous evolution."
  "og:title": "Jiangtong AI Model Evolution Platform | Industrial AI Lifecycle Management"
  "twitter:description": "An industrial AI platform for data governance, assisted annotation, model training, validation, release and continuous evolution."
  "twitter:title": "Jiangtong AI Model Evolution Platform | Industrial AI Lifecycle Management"
---

**

![Train, annotate and publish](https://www.jungt.com/_ipx/q_80&s_3840x2194/images/algorithm-platform/algorithm-platform-hero-data-analysis.webp)

Turn field data into evolving models

## AI Model Evolution Platform

Connect data governance, assisted annotation, training, validation, release and field feedback so enterprises can build and evolve their own industrial AI assets.

Product positioning

# Field-data model evolution loop

1. 1 ### Govern the data first

   Bring in field samples, filter them and standardize labels so training starts from a stable base.
2. 2 ### Train and validate next

   Keep training, validation and publishing in one flow so teams avoid bouncing between tools.
3. 3 ### Feed results back

   Field errors, misses and new samples go back into the loop so the model keeps improving.

Core capability

## Data, training and feedback workflow

![Data governance](https://www.jungt.com/_ipx/q_80&s_1440x822/images/algorithm-platform/algorithm-platform-capability-data-governance.webp)

### Data governance

Collect, filter and manage field samples with traceable dataset versions.

![Assisted annotation](https://www.jungt.com/_ipx/q_80&s_1440x822/images/algorithm-platform/algorithm-platform-capability-annotation.webp)

### Assisted annotation

Combine pre-annotation and human review under consistent label and quality rules.

![Training and validation](https://www.jungt.com/_ipx/q_80&s_1440x822/images/algorithm-platform/algorithm-platform-capability-training.webp)

### Training and validation

Run training jobs, effect checks and result reviews in one workflow.

![Release and feedback](https://www.jungt.com/_ipx/q_80&s_1440x822/images/algorithm-platform/algorithm-platform-capability-feedback.webp)

### Release and feedback

Manage releases and route field feedback back into the next model version.

Scenarios

## In-house industrial AI scenarios

### Industrial vision development

Manage samples and versions for defect, behavior and equipment-state recognition.

- Defect detection
- Behavior analysis
- Version control

### Expert knowledge modeling

Turn field judgment into annotation standards, training samples and reusable models.

- Knowledge retention
- Shared standards
- Reuse

### Multi-project model management

Manage models, datasets and releases across projects to reduce duplicate work.

- Central management
- Asset reuse
- Traceability

### Continuous field optimization

Add hard cases and new samples from operations so models evolve with the site.

- Feedback loop
- Hard-case governance
- Iteration