What is Resolve.ai?
Resolve AI is an agentic AI site reliability engineering platform built for software engineering and SRE teams who need to troubleshoot, debug, and optimize complex production systems faster.
Founded in 2024 by former Splunk leaders involved in creating OpenTelemetry, Resolve AI uses a multi-agent system that connects across code, services, infrastructure, and telemetry to handle on-call, incidents, and everyday production work.
Its core promise is to autonomously detect, investigate, and help resolve production incidents, getting to root cause in demanding environments without requiring engineers to switch between many tools or to have years of specialized expertise.
The platform connects to observability data, logs, code, and infrastructure, then reasons over that context to surface likely causes, suggest fixes, and give engineers production context while they work.
Resolve AI is used by engineering teams at companies such as Coinbase, DoorDash, Toast, and Zscaler to resolve incidents, optimize costs, and reduce the operational burden of running services at scale.
Typical use cases include accelerating incident response, reducing on-call toil, investigating unfamiliar services, and bringing production awareness into engineering workflows. Pros include broad integration across the production stack, autonomous investigation that shortens time to root cause, and adoption by well-known engineering organizations.
Cons include that it targets sophisticated production setups which may be more than smaller teams need, and that AI conclusions and suggested actions should be reviewed by engineers. Pricing is enterprise-oriented and not fully public, following a subscription model.
Pricing changes often, so check the official site for current plans.
Key features of Resolve.ai
- Multi-agent system spanning code, services, infrastructure, and telemetry
- Autonomous incident detection, investigation, and root-cause analysis
- On-call automation and daily production work assistance
- Integrates with observability, logs, code, and infrastructure
- Production context surfaced into engineering workflows
- Cost and reliability optimization across services
Resolve.ai pros and cons
| Pros | Cons |
|---|---|
| Broad integration across the full production stack | Geared toward sophisticated production setups, possibly overkill for small teams |
| Autonomous investigation shortens time to root cause | AI conclusions and suggested actions still need engineer review |
| Adopted by well-known engineering teams in demanding environments | — |
Resolve.ai pricing
Resolve.ai is offered on subscription plans. Pricing changes often, so check the official site for the latest plans and any free trial before you buy.
Who is Resolve.ai for?
Resolve.ai is best suited for your ai sre for autonomous incident investigation. Whether you are trying this kind of coding & development tool for the first time or use one every day, it is a credible option to shortlist — compare it with the alternatives and head-to-head comparisons linked on this page to find the best fit for your workflow and budget.
Resolve.ai at a glance
| Detail | Summary |
|---|---|
| Category | Coding & Development |
| Pricing model | Subscription |
| Free option | No |
| Best for | Your AI SRE for autonomous incident investigation |
| User rating | Not yet rated |
