• 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

  On-premises data labeling and annotating for secure & accurate models

  

Build Smart. Build Fast on AIxBlock

Data Engine

For Al builders to Collect, Curate and Label data

1. Multimodal-Powered Data Crawler
2. Auto Annotation
3. 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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