
Privacy Handling-Data De-Identification
Use TensorFlow-trained AI models auto-detect PII and PHI information to anonymize sensitive information in database tables, XML, JSON, CSV and more.
Offers protection strategies from encryption to redaction based on use-case.
Synthetic Data Generation
Generate production-like data preserving the semantics and inter-columnar relationships
Use combination of data generation techniques such as Generative Adversarial Networks and Transformers
Define hierarchical rule sets via the point and click interface to apply deterministic logic to extend the datasets.


Model Training
Automate selecting and optimizing machine learning models
Simplify model development, making it accessible to non-experts
Identify optimal algorithms and parameters for the dataset
Manage resources during model training and evaluation
Facilitate faster and more efficient deployment of ML models.
Knowledge Base Access
Utilize RAG and fine-tuned LLMs for fast knowledge base access
Easy setup and scaling of RAG applications
Select from open-source LLMs such as Llama2 or Phi-2
Customize data processing and retrieval strategies






















