Nest™
Ensure AI Reliability in Dynamic Real-World Environments
THE CHALLENGE
Hidden Costs of AI Maintenance
Industrial environments constantly evolve with changing operational conditions, equipment modifications, and organizational requirements.
Without proper maintenance, AI models grow outdated and lead to degraded performance, inaccurate predictions, and ultimately, failed AI initiatives.
Continuous AI management efforts are essential to keep AI systems reliable over the long run.
THE SOLUTION
Industrial MLOps Platform
Nest provides a comprehensive MLOps platform specifically designed for AI applications in dynamic real-world environments.
By automating retraining cycles and managing seamless deployments, Nest ensures your AI solutions remain effective despite changing conditions.
MLOps handles the complex technical maintenance so your team can focus entirely on driving business value.
PRODUCT COMPONENTS
Deploy and Integrate MLOps for Your AI Solutions
Model Management
Automate AI model monitoring and
maintenance across all deployments
– Continuous Performance Tracking
– Automated Retraining Workflows
KPI Analysis
Measure the business impact of
AI solutions against KPIs
– Custom Metric Dashboards
– Drift Detection Alerts
Developer API
Integrate MLOps capabilities directly
with your existing workflows
– Cross-Platform Integration
– Customizable Deployment Pipelines
OFFERINGS
Maintain AI Performance in the Long Run
Performance Degradation Triggers
Detect when AI model performance drops below acceptable thresholds
Alert for corrective actions automated adjustments
Data & Model Drift Detection
Track changes in data distributions and model predictions over time
Identify shifts in real-world environments
AutoML Pipeline
Simplify the end-to-end process of building, training, and deploying models
Iterate for rapid experimentation and improvements with minimal manual effort
Model Compression & Edge AI
Prune & Quantize AI models for more efficient deployment
Optimize AI models for resource-constrained edge environments
Model Performance Monitoring
Evaluate continuously to ensure AI models meet performance standards
Fine-tune models to align with evolving industrial objects
Continuous Learning
Update models using new data to ensure relevance over time
Evolve AI systems to adapt to changing conditions over time
INDUSTRY APPLICATIONS
Explore Applications of Nest
Discover how Nest works to enable MLOps for each decision-making objective.
Machine Learning Operations
Nest
Autonomous Control & Manufacturing
Fount + Nest + Apex
Manufacturing Control Tower
Fount + Nest + Avian + Sentinel + Apex