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.
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.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
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
What counts as a billing unit for the AI SRE private offer?
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.
How does my cost change as my alert and incident volume grows?
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.
What work does the AI SRE perform under this offer?
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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Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Request a private offer to receive a custom quote.
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Traversal is an AI SRE platform that helps enterprises autonomously prevent, diagnose, and remediate production incidents at scale. Validated within the Fortune 100 and backed by Sequoia and Kleiner Perkins, Traversal captures petabytes of telemetry, code, and production data to build a continuously updated Production World Model™ of your environment. Its Causal Search Engine™ runs thousands of targeted investigations in parallel, following signals across systems and time to identify true root cause in minutes instead of hours - and to prevent incidents before they occur. Built for enterprise-scale complexity, Traversal helps teams move beyond correlation-driven observability to causal understanding and faster, more reliable production operations. Traversal is trusted by companies like American Express, Pepsi, and DigitalOcean, and was founded by AI researchers from MIT, Columbia, Berkeley, and Cornell.
Aiden for SRE is an AI SRE teammate that validates alerts, investigates incidents, and attaches root cause before engineers are paged - with policy guardrails, approvals, and audit logs.
The product provides an intelligent agent capable of end-to-end incident management across Kubernetes, AWS. It can automatically investigate issues, perform deep log analysis using monitoring tools, identify root causes, and execute remediation actions. The agent also summarizes findings in a clear, actionable format and can seamlessly create incident tickets in ITSM platforms. Additionally, it integrates with GitHub MCP to review configuration and manifest files, suggest fixes, and automatically generate pull requests, enabling faster resolution and continuous operational improvement.
It handles on-call alerts, helps pinpoint root causes, and makes it easier to track down problematic pull requests (PRs) or specific event IDs.
What do you dislike about the product?
Sometimes it can be confusing, mainly because I don’t have enough knowledge about it.
What problems is the product solving and how is that benefiting you?
Autonomous Incident Response, with strong observability and code integration, plus clear performance metrics.
Prince K.
Speeds Up Troubleshooting and Boosts Team Productivity
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
It speeds up troubleshooting, helps me identify root causes faster, and cuts down on manual effort. Overall, it makes the team more productive.
What do you dislike about the product?
Some more complex issues still require manual investigation, and the accuracy of the recommendations depends on the data available as well as the system context.
What problems is the product solving and how is that benefiting you?
Resolve AI reduces incident investigation time and manual workload, helping me resolve technical issues faster, minimize downtime, and improve operational efficiency.
Dallas S.
Reliable and Worth the Spend, Though It Takes Time to Learn
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
I like Resolve.ai’s price point and reliability; it’s worth the spend. The initial setup was pretty easy, aside from the learning curve. I use it for backroom workloads, and it connects gaps with our IT team when we run into errors.
What do you dislike about the product?
Resolve.ai takes a little bit to learn, since I have to integrate it with human engineers. The initial setup was pretty easy, other than that learning curve.
What problems is the product solving and how is that benefiting you?
When we run into an error, Resolve.ai connects the gaps with our IT team.
Kyle K.
Precise, Helpful Feedback Every Time
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
It precision when giving feedback after a prompt is entered
What do you dislike about the product?
So far it has been a great experience. Maybe a feature to install plugins?
What problems is the product solving and how is that benefiting you?
Basic questions and email revisions. Also can give me guidance on what decision to make according to my field.
Shivam S.
Effective Production Incident Support and Resolution
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
I like how it resolves software incidents, like a support for production.
What do you dislike about the product?
It is only available for enterprises and not for personal or individual use as pricing is not available.
What problems is the product solving and how is that benefiting you?
Its multi-agent functionality automatically runs and resolves production-specific errors or bugs on its own.