Overview
AION automates the complete data pipeline from raw dataset ingestion to deployable machine learning models with a low-code/no-code approach.
- Simplified model deployment, observation and re-training
- Real-time insights provide up to 55% increase in response times
- Enables complete automation of analytics pipeline
- Enables prediction interpretation and model agnostic explanation (XAI)
- Bundled with broad spectrum of algorithms and use cases
Streamline the development of AI/ML-based solutions to improve responsiveness to business needs.
See how easy AI/ML deployment can get with AION
AION Benefits
AION automates and greatly simplifies steps involved in the development, deployment and optimization of AI/ML-powered applications, empowering “citizen data scientists” to create more user-centric solutions to business problems.
This powerful automation, combined with built-in solutions for improving both the consumption and explainability of model output, greatly boost analytical capability across the organization.
Speed up development
Leverage automation and no-/low-code approaches to state-of-the-art ML and deep learning technology to reduce development time and effort by as much as 70%.
Improve analytics
Free up SMEs to focus on enriching domain data to improve model impact without worrying about the data analytics pipeline process.
Scale and optimize easily
Empower data scientists with prebuilt elements and process automation to focus on model optimization and achieve as much as 10% improvement in general performance.
Simplify deployment
Streamline integration with applications using GenAI-enabled models and embeddings to achieve ~30% reduction in overall deployment effort.
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AION Engines
AION’s complete suite of engines to drive the broad adoption and continuous optimization of augmented analytics solutions.
Talk to an expert about how AION can integrate with your environment and use cases.
PUBLISHER — model publishing
Flexible ML model deployment options for varied environments
LEARNER — model training and hyperparameter tuning
Identification of best-suited algorithm and parameters to ensure highest scores
SELECTOR — feature selection
Identification of relevant features based on correlation and importance
TRANSFORMER — data processing
Data cleanup and preparation to improve data quality
EXPLORER — exploratory data analysis
Visual exploratory data analysis to derive descriptive insights
INGESTOR — data ingestion
Hooks to consume data from disparate sources
PREDICTOR — inference service
ML model serving and inference services
OBSERVER — model monitoring
Model monitoring for input and output drift of data and predictions
EXPLAINER — AI explainability
Explanation and uncertainty quantification of predictions
CONVERTOR—model conversion for edge device
ML model conversion for edge operation and hyperscaler platforms
TESTER — model testing
Benchmarking and testing for ML models
CODER — machine learning as code
Auto-generation of Python code for ML pipeline components
Learn about the benefits you can unlock by integrating AION into your existing digital platform or deploying it as a standalone analytics-as-a-service platform.