Private AI Solution
Terminal
Input Interface
Astram Solution
LLMs/Domain Knowledge model
Dashboard
Data Risk Management
Auto-AI Platform
In addition to creating, optimizing and deploying new models, the automated AI platform also supports optimizing existing data science pipelines at the source code level.
This standalone optimization capability supports models originally built on the automated AI platform, models manually created by data scientists, as well as models imported from other AutoML platforms.
Through a no-code, automated full-stack AI process, the automated AI platform enables users from different backgrounds (from data scientists to business analysts without AI expertise) to easily leverage their domain knowledge to develop expert-level AI applications, greatly lowering the barriers to AI and accelerating the conversion of AI into business value.
The platform can automatically execute the full process including feature engineering, model selection, parameter tuning, model training, validation and evaluation. This allows customers to focus more on addressing business challenges with enhanced productivity.
The criteria for model evolution can be accuracy, execution speed, or even multiple objectives. The platform provides an evaluation system for the best models for users to compare and selectively deploy different models.