Sold by: Resolve AI
Deployed on AWS
Resolve AI puts AI agents inside your production stack: on-call, incidents, and operational tasks, so your engineers get back to building. This AI SRE triages alerts, investigates to root cause, and cuts MTTR by up to 5x. Extend it via MCP, API, and Skills.
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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Resolve AI puts AI agents inside your production stack: on-call, incidents, and operational tasks, so your engineers can get back to building. Built by Spiros Xanthos and Mayank Agrawal, co-creators of OpenTelemetry, Resolve AI is the AI SRE that sits between your tools and your team. Agents investigate, triage, and remediate across telemetry, code, cloud, and runbooks, while engineers direct, approve, and build. Four ways in: agents join every on-call rotation to triage and investigate alerts; teams of agents work incidents alongside your engineers to root cause; background agents run operational workflows on a schedule or trigger; and you can build custom agents on top of Resolve AI via MCP, API, and Skills.
In production at DoorDash, Coinbase, Expedia Group, Snowflake, MongoDB, Toast, Eventbrite, and Zscaler, Resolve AI drives up to 5x faster MTTR and 75% higher engineering productivity. DoorDash saw 87% faster incident investigations after putting Resolve AI on-call for its advertising platform.
Resolve AI 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.
- Resolve 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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Deployed on AWS
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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 one pricing dimension: a custom private offer billed by units under a contract. You request a quote rather than choosing from set tiers. Pricing is scoped to your production workload, so the vendor sizes it based on your alert volume, connected tools, and the investigation workflows the AI SRE will handle. The AI SRE handles alert investigations and root cause analysis. Because pricing is custom, the unit count and total reflect your deployment size. To get a quote, you share your rough monthly production work and the vendor follows up with pricing.
Top-of-mind questions for buyers
A unit reflects the amount of production work the AI SRE handles for you. The vendor sizes it around your monthly alert volume and investigation count. You share rough figures like paged alerts, general alerts, and critical or high-priority investigations, and the vendor maps those inputs to a unit count.
Pricing is scoped to your production workload at the time of quoting. The vendor sizes the rollout using your deployment size, connected tools, and the workflows the agents will handle. Higher alert volume or more investigations lead to a larger sizing. Contact the vendor to re-scope if your workload changes materially.
The AI SRE handles alert investigations and root cause analysis. It triages alerts, posts findings, silences noise, and routes to the right team. It investigates across code, infrastructure, and telemetry, taking governed actions within guardrails while engineers direct the agents and approve action.
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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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