AIOPS & mlops
Manage AI and ML projects seamlessly on a21.ai, ensuring effortless scalability.
Managed service for AI/ML Ops
Fully functional AI infrastructure with
intelligent management
- Proactive operations and anomaly detection at scale
- Intelligent performance analysis
- Enhanced access controls with automated remediation
- Cutting-edge observability solutions, including distributed tracing, log analysis, and anomaly detection, insights into AI system performance. Such insights empower the tuning and optimization of models for superior precision and productivity
a21.ai Methodology
Standardized model management
- Enable best practices for model deployment and management in production
- Detect model drift to address changing data distribution patterns using statistical tests
- Maintain model performance for risk management and trigger event-driven retraining
- Provide on-premises and cloud-based solutions for model inference
- Support collaborative model and metadata management and metrics tracking
Building Machine Learning Pipelines
- Building automated ML pipelines engineered to handle data inputs and code, facilitating a smooth training of machine learning models
- Speed up the development process of your machine learning pipeline, paving the way for faster market reach and business expansion
Model Deployment and Monitoring
- Deploy your ML models onto cloud-native platforms like Amazon Web Services (AWS), Microsoft Azure, & Google Cloud Platform (GCP)
- CI/CD services empower data science teams to rapidly evaluate new concepts and refine models.
- Automate your ML pipeline components’ creation, examination, and deployment to the intended setting
- Cutting-edge observability solutions, including distributed tracing, log analysis, and anomaly detection, insights into AI system performance. Such insights empower the tuning and optimization of models for superior precision and productivity
Get Started With AI Experts
Write to us to know how your AI applications can be managed methodically.
