Overview
Unified Pipeline Discovery on AWS and Databricks
Auto-discover every data pipeline across AWS (Glue, Step Functions, EMR, Airflow) and Databricks in one view with onboarding status, log coverage, and metric coverage.
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
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
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 .
Custom pricing options
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Delivery details
New delivery option 1
- Amazon EKS
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
internal-testing-v1.1.1
Additional details
Usage instructions
PREREQUISITES
- An active AWS account subscribed to ClairAI on AWS Marketplace
- Amazon EKS cluster (Kubernetes 1.24+) with kubectl configured
- Helm 3.x installed on your local machine
- AWS CLI v2 configured with appropriate IAM permissions
- Amazon Bedrock enabled in your AWS account (us-east-1 or us-west-2 recommended)
- Sufficient node capacity: minimum 4 vCPUs and 8 GB RAM per node
STEP 1: SUBSCRIBE AND RETRIEVE CREDENTIALS
- After subscribing, navigate to AWS Marketplace > Your Software to find your entitlement.
- Configure AWS CLI: aws configure
- Authenticate to the ClairAI ECR registry: aws ecr get-login-password --region us-east-1 | helm registry login --username AWS --password-stdin public.ecr.aws
STEP 2: CREATE NAMESPACE kubectl create namespace clairai
STEP 3: CREATE AWS MARKETPLACE ENTITLEMENT SECRET kubectl create secret generic clairai-marketplace --from-literal=awsAccountId=<YOUR_AWS_ACCOUNT_ID> -n clairai
STEP 4: INSTALL CLAIRAI VIA HELM
helm install clairai oci://<HELM_CHART_URI>
--namespace clairai
--set global.awsRegion=<YOUR_AWS_REGION>
--set global.bedrockRegion=us-east-1
--set marketplace.enabled=true
STEP 5: VERIFY DEPLOYMENT kubectl get pods -n clairai All pods (backend, frontend, agent, yace-monitor) should show Running status within 3-5 minutes.
STEP 6: ACCESS THE CLAIRAI DASHBOARD
- Retrieve the LoadBalancer URL: kubectl get svc clairai-frontend -n clairai
- Open the EXTERNAL-IP in your browser on port 443.
- Log in with your configured admin credentials.
STEP 7: CONNECT YOUR OBSERVABILITY STACK
- Prometheus: Point your existing Prometheus remote_write to the ClairAI ingest endpoint.
- Grafana/Loki/Tempo: Configure data sources in the ClairAI settings panel.
- Databricks/Snowflake: Add connectors under Settings > Integrations.
MONITORING
- View real-time SLO dashboards and AI-driven root cause analysis from the ClairAI UI.
- Configure alert routing under Settings > Alert Policies.
For full documentation visit: https://clairai.cloud/docs Support: venkatap@infoservices.com | https://www.infoservices.com/clairai/support
Support
Vendor support
Clair AI Customer Support, Powered by InfoServices
Email: venkatap@infoservices.com Support portal: https://www.infoservices.com/clairai/support Documentation: https://docs.clairai.io
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 venkatap@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.