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Resolve AI

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AI SRE that goes on call, investigates incidents and finds root causes in production

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Resolve AI

What it is

Resolve AI is an AI SRE built to take on-call work off engineers. It connects to your existing production tooling and acts as a first responder: it triages and mitigates alerts, escalates to people when needed, investigates incidents to a root cause and helps restore service. A component called Hivemind tracks production state, alerts and recent changes so investigations start with context. It also looks for the underlying problems behind recurring issues and passes production context to coding agents, and Resolve can build managed custom agents for other production automation. Security features include SAML SSO, role-based access, audit logging, data redaction and org-level isolation, and the company states customer data is not used to train models for others. Pricing is credit-based and not published.

Key features

  • Alert triage and first-line on-call response
  • Root cause investigation across production tools
  • Hivemind memory of production state and changes
  • Custom managed agents for production automation

What we liked

  • + Built specifically for incident response rather than general coding
  • + Enterprise security controls such as SSO, RBAC and redaction
  • + Feeds production context into coding agents for fixes

Worth noting

  • · No public pricing or self-serve trial
  • · Aimed at larger engineering organizations rather than small teams

Editor's notes

More context from AI BirdView

Resolve AI is an AI site reliability engineering (SRE) platform that goes on call for engineering teams, triaging alerts and investigating production incidents to find root causes. It is built for the moment something breaks, not for writing new features: it pulls signals from your observability, deployment and code tools, works out what changed, and proposes how to mitigate. The company names large customers such as Coinbase, DoorDash and Salesforce on its site.

What is Resolve AI used for?

Teams use Resolve AI to cut the time engineers spend paging through dashboards and logs during incidents, and to reduce the number of people pulled into every war room.

  • Acting as primary on-call: triaging alerts, mitigating where possible and escalating to engineers when needed
  • Investigating incidents across logs, metrics, traces and recent deploys to identify a root cause
  • Tracking production state, alerts and changes in a shared memory called Hivemind
  • Finding the root problems behind recurring issues instead of only fixing symptoms
  • Passing production context to coding agents so fixes are grounded in what actually happened
  • Building custom, managed SRE agents for other production automation

Who Resolve AI is best for

Resolve AI fits companies with complex production systems, large on-call rotations and an observability stack already in place, such as fintech, marketplaces, SaaS platforms and enterprises with many services. SRE and platform leads looking to lower mean time to resolution are the typical buyers. Small teams with a single app and a few alerts a week will likely not need a dedicated AI SRE and may balk at an enterprise sales process.

Resolve AI pricing

As of October 2026, Resolve AI does not publish prices. Its pricing page says billing is credit-based, with credits consumed as agents perform defined types of work across your production environment, but it gives no rates, tiers or trial terms. To get a quote, contact the Resolve AI team through the website or request a demo. Expect pricing to depend on the size of your environment and how much work you hand to the agents.

Limitations to keep in mind

  • No public pricing, so budgeting requires a sales conversation
  • Its value depends on connecting your observability, deployment and code tools, which takes setup time
  • Automated mitigation needs careful permissions and review in production
  • Results quoted on the site, such as faster resolution times, are the vendor's own figures

Resolve AI vs alternatives

There are few direct equivalents in this directory, so most comparisons are with coding agents that can help during incidents. Devin can investigate bugs and open fixes across a codebase, which helps after an incident, but it is not built to watch alerts or go on call. Factory offers agents for broader software development work, including reliability tasks, and suits teams that want one agent platform for many jobs. Claude Code can dig into logs and code from the terminal when an engineer drives it. Resolve AI is the better choice when the goal is an always-on first responder for production rather than a coding assistant.

Tips for getting started with Resolve AI

Start with read-only access to your observability and deployment tools so you can judge investigations before allowing any mitigation. Pick one noisy service or alert category for a pilot and compare its findings with what your engineers concluded. Define clear escalation rules so the agent pages humans for anything customer-facing. Review the security settings, including redaction and role-based access, with your security team before connecting sensitive systems.

Resolve AI FAQ

Is Resolve AI free?
No, Resolve AI is a paid platform with credit-based pricing that is not published, so you need to contact the company for a quote.
What is Resolve AI used for?
Resolve AI is used as an AI SRE that triages alerts, investigates production incidents, finds root causes and helps engineering teams restore service faster.
Is Resolve AI safe to use with production data?
Resolve AI lists SAML SSO, role-based access, audit logging, encryption, data redaction and org-level isolation, and says customer data is not used to train models for others.
What is the best alternative to Resolve AI?
For general debugging help, coding agents such as Devin or Claude Code can investigate issues, but they are not built to go on call the way Resolve AI is.

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