Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Our professional services leverage Resolve.AI’s advanced AI including predictive analytics and Generative AI, integrated seamlessly with AWS tools; to help your organization streamline incident management, reduce mean time to resolution (MTTR), and improve operational efficiency. Key AWS services include AWS Bedrock for LLM frameworks, AWS Alarms for real-time alerts from AWS CloudWatch, assistance for application support teams in implementing real-time dashboards and analytical tools that enable quick root cause identification, data correlation from multiple sources, and predictive insights into future resource needs, all tailored to your specific environment.
By partnering with us, you gain access to features such as automated root cause analysis, anomaly detection, and change impact assessment, designed to proactively address issues and prioritize critical changes. We specialize in consolidating diverse data streams and providing a comprehensive view of top errors and metrics.
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Reach out to us today to learn how our services can help your organization achieve reliable, efficient, and proactive system management.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI powered Incident Detection & Investigation from multisource systems
AI powered Change Impact Analysis
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Publisher resources
1 linkLinked 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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.