A BETTER WAY TO DO AI
Hybrid Intelligence is an easier and better way to build AI models and applications and has several advantages over traditional AI methodologies, including:
- High predictive performance
- Full explainability
- Transparent, predictable & auditable models
- Data & resource efficient model training process (induction)
- Human knowledge injection
- Model monitoring, optimization, and retraining tools
- Better decision making
- Human in the Loop oversight and control
- Backwards compatibility with existing deployments
- Easy to integrate (symbolic interface)
STRAIGHTFORWARD IMPLEMENTATION
Hybrid Intelligence is built to be easy to use.
- Available as a developer library that is simple to install and easy to use
- Models built using Hybrid Intelligence are backwards compatible with both existing ML frameworks and legacy systems.
- Hybrid Intelligence has been designed to be a drop-in replacement for existing models, packaged using industry standard techniques.
- Hybrid Intelligence is integrated with MLOps to reduce risk and enable both faster deployment and scalability.
- Symbolic interface greatly simplifies integration within any system.
ALL THE TOOLS YOU NEED
The Hybrid Intelligence Framework includes tools for
- Data Onboarding
- Data Insights
- Model Induction
- Model Evaluation
- Model Insights
- Model Deployment & Monitoring
- Model Optimisation
- Model Updating and Re-training
- Human Knowledge Injection
- Model Querying and Real-time Explanation Extraction
- Explanation Customisation
- Explanation Visualization
- Model and Query Auditing
- Real-time Decision Workflows
- System Integration
