Sold by: ResolveAI
Deployed on AWS
ResolveAI puts its SRE's inside your production stack: on-call, incidents, and operational tasks, so your engineers get back to building. These AI SREs triage alerts, investigate the root cause with 95% accuracy, and cut MTTR by up to 5x. Extend ResolveAI via MCP, API, and Skills to Claude Code, Codex, Cursor, Slack, MS Teams, or your custom agents.
Overview
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Investigation canvas
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Root cause
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Background Agents
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Deployment Monitoring
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ResolveAI is the AI SRE platform that runs your production reliably. ResolveAI SREs run across your enterprise to automate reliability work and support shipping velocity: they close alerts, resolve incidents, drive improvements, and automate operational tasks.
ResolveAI SREs
- Owns the outcome: Unlike AI assistants that only recommend, ResolveAI SREs own the production results: fewer pages, faster mitigation, higher root-cause accuracy, lower cost per task.
- Share a HiveMind: Reliability system of record for your enterprise. It gives your teams what's happening in production right now: state, alerts, and recent changes. Connects the dots across on-call and incidents, across every team's stack.
- Always at the frontier: Our own domain models and the best frontier models, combined by an architecture built to get the correct answer at the best price/performance.
In production at DoorDash, Coinbase, Expedia Group, Snowflake, MongoDB, Toast, Eventbrite, and Zscaler, ResolveAI drives up to 5x faster MTTR and 75% higher engineering productivity. DoorDash saw 87% faster incident investigations after putting ResolveAI on-call for its advertising platform.
ResolveAI is SOC 2 Type II, GDPR, and HIPAA compliant, with SAML SSO, RBAC, and admin controls; customer-isolated data with encryption and retention controls.
Highlights
- A harness of specialized agents for production operations. Separate agents triage, investigate, and verify in parallel, with a dedicated verifier model re-checking every finding against production evidence before it's finalized. Models are post-trained for causal reasoning across production systems, not just correlation, and paired with the best available frontier models, continuously evaluated and upgraded as new models ship.
- Collaborative canvas for humans and agents to get to RCA and remediation quickly. Steer any theory in natural language, run your own queries alongside the agent, and merge what you find back into the report without leaving the surface. Ask the agent direct questions and get evidence-backed answers, loop in teammates on the same thread, and approve, redirect, or override any finding or action before it ships. Human and agent, working the same problem together.
- ResolveAI ships as a plugin for Claude Code, Cursor, and Codex, backed by an MCP server any other agent can call directly. Pull production context before a risky change, join a live incident investigation, and turn a root cause into a pull request, all without leaving your editor. Bring your own skills and tools; the same guardrails and audit trail carry over automatically.
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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/12 months |
|---|---|---|
Resolve AI SRE Custom Private Offer | Your AI SRE capable of handling alert investigations and RCA - request a private offer to receive a custom quote. | $1.00 |
Dimensions summary
This listing offers a single pricing option: a custom private offer billed on a contract basis. You request a quote rather than selecting a fixed price or tier. The vendor sizes your rollout based on your production workload, such as monthly alert volume and incident counts. Pricing scales with the amount of work the AI SRE handles, including alert investigations and root cause analysis. Units are set through the private offer, so the final quantity and terms reflect your specific environment. Contact the vendor to receive a tailored quote for your deployment.
Top-of-mind questions for buyers
Units are set within your custom private offer. The vendor sizes them to your production workload, such as monthly paged and general alert volume plus critical, high-priority, and other incident counts. The final unit count reflects the amount of investigation and root cause work the agents handle in your environment.
Pricing scales with the production work the AI SRE handles. Higher monthly alert volume and incident counts size a larger rollout. Because units are set through the private offer, an increase in workload is reflected when the vendor sizes and quotes your deployment rather than metered automatically per event.
The AI SRE handles alert investigations and root cause analysis. It joins on-call rotations, triages alerts, pursues incident hypotheses, monitors deployments, and drafts operational reports. Engineers direct the agents and approve actions. This scope determines how the vendor sizes your private offer.
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Request a private offer to receive a custom quote.
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Software as a Service (SaaS)
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