Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
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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
Highlighted by the publisher on AWS Marketplace.
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.
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Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Clair AI offers a 90-day refund for new subscribers who are dissatisfied with the product. Refund requests must be submitted within 90 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.
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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