Robust Intelligence Platform

Maintain ML Integrity by eliminating AI failures

Robust Intelligence Platform Overview

The Robust Intelligence Platform integrates seamlessly into your ML lifecycle to eliminate model failures. The platform detects your model’s vulnerabilities, prevents aberrant data from entering your AI system, and detects statistical data issues like drift.

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Categories:
All
MLOps
Data
Data+MLOps

System-wide Features:
Teamwork and Collaboration
Enterprise Security
Governance
Enterprise Support

MLOps Features:
Data Acquisition
Data Versioning
Data Visualization
Data Preparation
Data Pipelines
Data Labeling
AutoML
Featurization
Feature Store
ML Pipelines or Workflows
Model Registry
Model Marketplace
Model Training
Distributed Model Training
Model Debugging
Experiment Management
Deep Learning Support
Reinforcement Learning Support
Bias Detection and Mitigation
Model Explainability
Hyperparameter Optimization
Model Packaging
Model Deployment and Serving
Edge ML Support
Model Monitoring
Cost Management
ML Infrastructure Orchestration
Accelerator Support
Kubernetes Support

Model Deployment Sub-features:
Model serving
Integrates with CI/CD pipeline
Roll-back options
Optimizes Infrastructure Dynamically
Auto-scales Infrastructure
Supports Batch Inference
Supports Streaming Inference

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Additional Product Information

Product Links

Deploys On

Amazon Web Services
Google Cloud Platform
Microsoft Azure
Other Public Cloud
Kubernetes
NVIDIA
Private Cloud or Datacenter
SaaS

Marketplace Links

Robust Intelligence Platform on AWS Marketplace

Pricing:

Free Version

Paid Version

Robust Intelligence Vendor Information

Vendor Overview

ML Integrity means that your models work as intended. It requires a rigorous approach to testing, monitoring, and improving your models. Robust Intelligence provides a platform that ensures ML Integrity throughout the model lifecycle.