Sold by: Info Services
Deployed on AWS
Clair AI is an AI powered decision intelligence platform that turns observability chaos into real time answers, cutting MTTR by up to 60%, alert noise by 70%, and on call toil by 30%. Built on AWS and powered by Amazon Bedrock, Clair AI ingests metrics, logs, traces, and events across Prometheus, Grafana, Loki, Tempo, Databricks, Kubernetes, and your existing cloud stack, delivering explainable root cause analysis, real-time SLO visibility, and decisions instead of alerts.
Overview
Enterprise Decision Intelligence, Built for the Age of AI. Modern enterprises run dozens of monitoring and observability tools that generate massive signal volume but deliver slow decisions. Engineering teams drown in alert floods, chase root causes across fragmented dashboards, and burn on-call cycles on noise instead of business impact. Clair AI, built by InfoServices, AWS FTR approved, and powered by Amazon Bedrock, is an AI-powered decision intelligence platform that transforms this chaos into clarity. It delivers prioritized, explainable answers in real time so SRE, DevOps, and platform teams resolve incidents before they impact users.
One Pipeline. Every Signal. Automated Root Cause Analysis. Clair AI ingests metrics, logs, traces, events, and domain data across your cloud, infrastructure, and application layers through a unified pipeline. It augments the industry standard observability stacks you already run, including Prometheus, Grafana, Loki, Tempo, OpenTelemetry, AWS, Databricks, Snowflake, and Kubernetes, rather than replacing them. A generative AI intelligence layer built on Amazon Bedrock performs cross-platform correlation, detects anomalies in under 60 seconds, identifies root cause 70 to 80% faster, and produces decision centric outputs such as alerts, dashboards, and remediation guidance instead of context-less noise.
Measurable Business Impact, from Day One. Enterprises deploying Clair AI see above 50% MTTD reduction, up to 60% MTTR reduction, 25 to 40% SLO compliance improvement, 70% alert noise reduction, and 20 to 30% gains in on-call productivity. Secure, multi-tenant, AWS FTR approved, and deployable in days, Clair AI is the AI powered AIOps and observability intelligence layer built for mission critical, multi cloud, regulated environments. Turn enterprise data chaos into confident, real time decisions. Clarity in one click.
Highlights
- AI Powered Root Cause Analysis, Not Alert Floods. Clair AI uses Amazon Bedrock to correlate metrics, logs, traces, and events across your entire cloud and application stack, pinpointing root cause 70 to 80% faster, cutting MTTR by up to 60%, and reducing alert noise by 70%. On call engineers get explainable, plain language answers to what broke and why, resolving incidents in minutes instead of hours.
- Decisions in Real Time, Not Dashboards to Decode. Replace traditional monitoring and AIOps tools with prioritized, context-rich decision intelligence. Clair AI delivers real time SLO and error budget visibility with under-60-second detection latency, improves SLO compliance 25 to 40%, and lifts on call productivity 20 to 30%. SRE and DevOps teams see what matters, act on what is critical, and prevent downtime before customers feel it.
- Works With Your Existing Observability Stack. Deploy on AWS without ripping out what works. Clair AI integrates natively with Prometheus, Grafana, Loki, Tempo, OpenTelemetry, Databricks, Snowflake, Kubernetes, and Amazon Bedrock, ingesting metrics, logs, traces, events, and domain data through a unified pipeline. AWS FTR approved, secure, multi tenant, and production ready, onboard in days and scale to enterprise grade, multi cloud, regulated workloads.
Details
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Delivery method
Supported services
Delivery option
ClairAI - EKS Helm Deployment
New delivery option 1
Latest version
Operating system
Linux
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Clair AI Starter | Clair AI Starter for small teams getting started with AI-powered observability. Includes unified ingestion for up to 25 hosts across AWS and Kubernetes, core observability integrations (Prometheus, Grafana, Loki, Tempo), AI-driven root cause analysis powered by Amazon Bedrock, real-time SLO monitoring, and standard alert correlation. 30-day log retention. Standard 24x5 support. | $1,500.00 |
Clair AI Standard | Clair AI Standard for growing SRE and DevOps teams running multi-cloud workloads. Includes everything in Starter plus unified ingestion for up to 100 hosts, multi-account and multi-region support, Databricks pipeline observability, advanced AI-driven correlation and anomaly detection on Amazon Bedrock, custom dashboards, 90-day log retention, observability cost insights, and decision-centric alerting. Standard 24x5 support with 1-hour P1 SLA. | $2,500.00 |
Clair AI Enterprise | Clair AI Enterprise for mission-critical, multi-cloud, regulated environments. Includes everything in Standard plus unlimited hosts, unlimited accounts and regions, advanced generative AI observability with custom Bedrock models, full-stack correlation across cloud, infrastructure, and applications, 1-year log retention, SSO and role-based access control, audit logging, custom integrations, and a dedicated Technical Account Manager with 24x7 Enterprise support and 15-minute P1 SLA. | $4,000.00 |
Vendor refund policy
Clair AI offers a 30-day refund for new subscribers who are dissatisfied with the product. Refund requests must be submitted within 30 days of initial subscription and are reviewed case-by-case based on usage. Refunds are not available for contract renewals or partial contract periods. To request a refund, email clairai-billing@infoservices.com with your AWS account ID, subscription date, and reason for the request. For questions, contact clairai-billing@infoservices.com .
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Delivery details
ClairAI - EKS Helm Deployment
Supported services: Learn more
- Amazon EKS
- Amazon EKS Anywhere
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
ClairAI v1.0.1 New Features:
- Added Billing and Cost Management MCP Server for AWS cost analysis and FinOps recommendations
- Added Prometheus MCP Server for querying AWS Managed Prometheus metrics
- Added Loki MCP Server for querying Grafana Loki logs
- AI Agent with 3 specialized models: Auto (intelligent routing), RCA (root cause analysis), FinOps (cost optimization)
- Backend AUTH_ENABLED toggle for flexible authentication configuration
Components (7 container images + 1 Helm chart):
- Backend (port 8000) - Observability API with RBAC
- Frontend (port 8080) - React dashboard with Cognito SSO
- Agent (port 8001) - OpenAI-compatible AI assistant powered by Amazon Bedrock
- Prometheus MCP Server (port 8080) - AWS Managed Prometheus queries with SigV4
- Loki MCP Server (port 8080) - LogQL queries against Grafana Loki
- Billing MCP Server (port 8080) - AWS Cost Explorer, Compute Optimizer, Budgets
- YACE (port 9090) - CloudWatch metrics exporter
Platform Requirements:
- Amazon EKS 1.29+
- AWS Load Balancer Controller
- IAM Roles for Service Accounts (IRSA)
- Amazon Bedrock access (Claude 3 Sonnet)
Deployment:
- Single Helm chart deployed per component via OCI registry
- Shared ALB ingress for frontend, backend, and agent
- Internal cluster DNS for MCP server communication
Additional details
Usage instructions
Prerequisites:
- Amazon EKS cluster (1.29+) with kubectl access
- AWS CLI v2, Helm 3.8+, eksctl
- AWS Load Balancer Controller installed on cluster
- IAM Roles for Service Accounts (IRSA) configured
- Amazon Bedrock access enabled (Claude 3 Sonnet)
- AWS Managed Prometheus workspace (for metrics)
Quick Start:
-
Authenticate to Marketplace ECR: aws ecr get-login-password --region us-east-1 | helm registry login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com
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Pull the Helm chart: helm pull oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/info-services/clairai --version 1.0.1 --untar --destination /tmp/clairai
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Create namespaces: kubectl create namespace clairai-core kubectl create namespace clairai-agent kubectl create namespace clairai-mcp kubectl create namespace clairai-metrics-manager
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Create IRSA service accounts with permissions for DynamoDB, S3, Bedrock, AMP, Cost Explorer, Secrets Manager, and CloudWatch.
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Deploy components (backend, frontend, agent, prometheus-mcp, loki-mcp, billing-mcp, yace) using helm install with the pulled chart. Each component is a separate Helm release in its respective namespace.
-
Create ALB ingress for external access to frontend (/), backend (/api), and agent (/v1).
Key Configuration:
- Backend listens on port 8000
- Frontend (nginx) listens on port 8080
- Agent listens on port 8001
- MCP servers listen on port 8080
- YACE listens on port 9090
- Set AUTH_ENABLED=false to disable SSO for testing
- Agent requires PROMETHEUS_MCP_URL, LOKI_MCP_URL, and BILLING_MCP_URL environment variables pointing to MCP services
Full documentation: https://docs.clairai.cloud/
Support
Vendor support
Clair AI Customer Support, Powered by InfoServices
Email: clairai-support@infoservices.com Documentation: https://docs.clairai.cloud
Standard Support (included with Starter and Standard tiers) 24x5 coverage Monday through Friday across Americas and APAC business hours. Response SLA: P1 incidents within 1 hour, P2 within 4 hours, P3 within 1 business day. Access to product documentation, onboarding guides, release notes, and the Clair AI knowledge base.
Enterprise Support (included with Enterprise tier) 24x7 coverage with a dedicated Technical Account Manager, 15-minute P1 response SLA, quarterly business reviews, proactive health checks, and a dedicated Slack or Microsoft Teams channel with the Clair AI engineering team. Custom onboarding and integration assistance for Prometheus, Grafana, Loki, Tempo, Databricks, Snowflake, and Kubernetes environments.
For AWS Marketplace billing or procurement questions, contact clairai-support@infoservices.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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