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.
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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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Product video
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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All fees are non-cancellable and non-refundable except as required by law.
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Request a private offer to receive a custom quote.
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Customer reviews
Akshaykumar N.
Fast, Proactive Incident Investigation Right in Slack
Reviewed on Oct 25, 2026
Review provided by G2
What do you like best about the product?
What I like best about Resolve AI is how fast it responds when something breaks. It starts investigating on its own as soon as an alert fires, suggests a likely root cause with fix steps, and explains its reasoning. It also works inside Slack like a teammate, which saves a lot of time during on-call.
What do you dislike about the product?
What I dislike about Resolve AI is that onboarding isn’t self-serve. You have to book a demo or request a private quote, which makes it difficult to try the product out or quickly compare pricing. Also, the suggestions it provides still need an engineer to review them before taking action, so it can speed up investigations, but it doesn’t replace human judgment yet.
What problems is the product solving and how is that benefiting you?
Resolve AI addresses the pain of slow, stressful incident investigations. Instead of engineers having to manually dig through logs, recent code changes, and dashboards after an alert, it automatically investigates and highlights a likely root cause along with suggested fixes. For me, that translates into faster troubleshooting, less on-call burnout, and more time spent building rather than firefighting. It also generates post-incident summaries, which cuts down on the manual documentation work that usually comes afterward.
Gianni M.
Faster Incident Troubleshooting, Despite Setup Hurdles
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
I like Resolve.ai’s ease of use and integration. I can troubleshoot IT incidents faster, identify root causes quickly, and reduce manual investigation. I also value automatic alert triage, root cause analysis, incident investigation agents, and deployment monitoring.
What do you dislike about the product?
I find that the initial setup and integration with my existing IT systems can take time. I also faced challenges with configuration and access permissions.
What problems is the product solving and how is that benefiting you?
I use Resolve.ai to address slow troubleshooting, recurring IT incidents, application downtime, and time-consuming investigations.
Information Technology and Services
Streamlines Incident Investigations, but Root-Cause Results Aren’t Always Reliable
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
the ability to streamline the incident investigation and identify the root causes faster.
What do you dislike about the product?
could not always rely on the generated root-cause analysis as sometimes what we found is slightly different from what the agent said. Not something i would mistake the tools ability for but it is an AI agent which we can't rely on everytime. Everything requires improvement and upskilling like a human does.
What problems is the product solving and how is that benefiting you?
it addresses the time-consuming process of investigating the incidents and identifying root cases.
Galateya M.
Resolve AI Streamlines Incident Response with Autonomous Investigation and Remediation
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
Resolve AI's biggest strength is its ability to autonomously investigate and remediate incidents, reducing manual effort for engineering teams. I particularly like how it combines AI-driven root cause analysis with operational automation, helping teams resolve issues faster, reduce alert fatigue, and improve overall reliability. It also integrates with existing engineering tools and workflows, making adoption easier without requiring major process changes.
What do you dislike about the product?
While Resolve AI is powerful for incident response and automation, one potential downside is that teams may need time to build trust in autonomous remediation and AI-driven decision-making. It can also require careful configuration and integration with existing tools and processes to achieve the best results. Additionally, organizations should be aware of platform limits and usage quotas that may apply to investigations and automated workflows.
What problems is the product solving and how is that benefiting you?
Resolve AI is solving the challenge of slow, manual incident investigation and resolution. By automating impact analysis, triage, and guided troubleshooting, it helps reduce downtime, improve productivity, and allows teams to focus on higher-value work rather than repetitive operational tasks.
Brandon R.
Faster Incident Response, but Limited to On-Call Production Teams
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
I like that Resolve.ai uses AI for incident alerts and handles a lot of the work, helping us find root causes more than 50% faster and reducing the need for engineers to get involved in each incident. It frees our engineers to focus on what they do best, and when we hire, we can focus more on sales hires to increase revenue instead of hiring engineers to handle production overload. It also saves us money, and I find its use of code and production context helpful for finding root causes and optimizing infrastructure costs. The setup was very easy.
What do you dislike about the product?
I think Resolve.ai is a narrow fit. It only helps teams running production software with on-call rotations, and that's where it ends at the minute.
What problems is the product solving and how is that benefiting you?
I use Resolve.ai to respond to incidents faster and find root causes over 50% faster. Its AI handles alerts with less engineer involvement per incident, freeing engineers to focus on their work, reducing hiring needs and costs, and helping optimize infrastructure costs using production context.