Resolve.ai

Resolve.ai is a production-grade AI platform that delivers AI-powered Site Reliability Engineering (AI SRE). Its multi-agent system autonomously handles production incidents—triaging alerts, pinpointing root causes, and recommending fixes—so engineering teams increase uptime and ship faster.

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AI SREAI site reliabilityincident response automationroot cause analysis AImulti-agent AIproduction AI platformSRE automationAI for DevOps

Features of Resolve.ai

Single pane of glass: code, infra, and telemetry merged into live system context.

AI investigator that replicates engineer workflows—triaging alerts, collecting evidence, and proposing fixes.

Context-aware recommendations for architecture reviews, cost optimization, and build decisions.

Multi-agent coordination: central orchestrator delegates to specialist agents for complex tasks.

Continuous learning engine turns past incidents into reusable best-practice knowledge.

Native integrations with AWS, Kubernetes, GitHub, Slack, PagerDuty, and more.

Flexible deployment—fully managed SaaS or private cloud on your own VPC.

Pluggable LLMs: Google Gemini, OpenAI, Amazon Nova ready out of the box.

Use Cases of Resolve.ai

Auto-triage high-severity alerts, collect cross-domain evidence, and surface root causes within minutes.

Get data-driven architecture advice during design or change-review meetings.

Cut cloud spend by letting AI analyze telemetry and recommend right-sizing or spot usage.

Give on-call engineers an AI teammate for overnight and weekend incidents.

Auto-generate and update runbooks, dashboards, and SOPs from live system behavior.

Speed up security reviews by identifying misconfigurations and compliance gaps.

FAQ about Resolve.ai

QWhat is Resolve.ai?

Resolve.ai is a production AI platform whose flagship product is an AI SRE system. A fleet of autonomous agents handles incident response, root-cause analysis, and ops tasks end-to-end, letting engineers focus on shipping features instead of firefighting.

QWhat are the core capabilities?

Unified production context, AI-driven investigation, context-aware decision support, multi-agent collaboration, and continuous learning that converts past incidents into reusable playbooks.

QHow does it reduce MTTR?

Agents work 24×7, parallelize evidence collection across logs, metrics, and traces, and apply reasoning to surface the exact root cause—often cutting MTTR by over 50%.

QWhich tools does it integrate with?

AWS, Kubernetes, GitHub, Slack, PagerDuty, Jira, Datadog, Prometheus, and any OpenTelemetry-compatible source.

QWhat deployment options are available?

Fully managed SaaS or single-tenant private cloud on AWS, GCP, Azure, or on-prem. Data stays within your VPC for strict compliance.

QIs my data secure?

Yes. Enterprise-grade security, SOC-2 compliant, no customer data is used to train shared models, and private cloud keeps everything in your control plane.

QWho is it built for?

DevOps, SRE, and platform teams running cloud-native or hybrid estates and drowning in alert noise or incident backlog.

QHow is it priced?

Custom enterprise pricing based on environment size, agent workload, and support tier. Contact sales for a tailored quote.

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