• 1
  Build Your AI

  Train and Deploy

  Start with raw source code, train with your data, and deploy if desired.

  

  Fine-Tune and Deploy

  Fine-tune your pre-trained model and deploy as needed

  
• 2
  Deploy Your AI

  Deploy Only

  Deploy your model or set up an API inference endpoint with ease

  
• 3
  Optimize Your Data

  Label & Validate Data

  Deploy or set up an API endpoint for efficient data labeling and validation

  

Build Smart. Build Fast on AIxBlock

Data Engine

1. For Al builders to Collect, Curate and Label data
2. Multimodal-Powered Data Crawler
3. Auto Annotation
4. Consensus-driven Labeling Built On Chain (Soon)

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No-Code MLOps Platform

1. Hybrid Distributed Machine Learning with encrypted dataset
2. Auto training and Active Learning
3. Demo Environment
4. Integrated JP Notebook, Docker, Kubernetes

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