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AI Services
Foundation models and ML pipelines integrated directly into your cloud operations lifecycle.
Fully managed foundation models from Anthropic, Meta, Cohere, and Amazon. AuraAI integrates Bedrock for infrastructure intelligence, cost optimization, and natural language operations ā no ML expertise required.
Natural language queries about your infrastructure. Get cost, security, and architecture recommendations instantly.
AI-driven detection and auto-fix of misconfigurations, vulnerabilities, and compliance drift.
Predictive cost analysis with ML models. Budget alerts and automated right-sizing recommendations.
Build, train, and deploy ML models at scale. AuraAI provisions SageMaker endpoints in your dedicated tenant account with full isolation, auto-scaling, and monitoring.
Distributed training on GPU instances with spot pricing. Automatic hyperparameter tuning and experiment tracking.
Auto-scaling endpoints with A/B testing, shadow deployments, and canary rollouts built-in.
End-to-end ML lifecycle. Model registry, approval workflows, and automated retraining triggers.
Low-latency inference with auto-scaling. Ideal for interactive applications and APIs.
Process large datasets offline. Cost-effective for bulk predictions and ETL.
Intelligent automation across your entire infrastructure lifecycle ā from provisioning to monitoring to incident response. Powered by Bedrock agents and custom ML models.
AI recommends optimal instance types, storage configs, and network topologies based on workload patterns.
ML-based monitoring detects unusual patterns in metrics, logs, and costs before they become incidents.
AI-generated runbooks automatically resolve common infrastructure issues without human intervention.
Continuous checks against CIS, SOC 2, and custom policies. Auto-remediate drift with AI-generated fixes.
Predictive scaling based on historical patterns and business events. Eliminate over-provisioning.
Natural language interface for infrastructure operations. Deploy, scale, and troubleshoot conversationally.