Resolve.ai

What makes Resolve.ai different

Resolve.ai is built by the co-creators of OpenTelemetry, bringing deep observability expertise to AI-driven site reliability. Rather than positioning as a general-purpose cloud compute provider, Resolve focuses narrowly on automating the production operations workload that consumes engineering time: on-call triage, incident investigation, and repetitive operational tasks.

The core differentiation is agentic automation that understands your existing tools and tribal knowledge. Resolve agents integrate with your monitoring stack, incident management, and internal runbooks via MCP (Model Context Protocol), APIs, and custom Skills. This means agents can operate your specific infrastructure—not a generic cloud abstraction layer. The product is designed for co-working: engineers remain in control while agents handle investigation, root cause analysis, and evidence gathering at scale.

Trusted customers include Coinbase, DoorDash, Expedia, Snowflake, MongoDB, and Zscaler. DoorDash reports 87% faster incident investigations and measurable on-call efficiency gains that protect billion-dollar revenue streams.

Pricing model

Resolve.ai operates on a subscription model with usage-based components, though exact tier pricing is not publicly listed on their website. Access to pricing requires requesting a demo or contacting sales at https://resolve.ai/pricing. The model reflects a seat-and-agent licensing approach typical of SaaS platforms targeting enterprise infrastructure teams.

When it fits

• On-call heavy teams: Organizations losing engineers to alert triage and routine investigation can delegate to agents 24/7.
• Complex incident response: Multi-service outages requiring cross-team RCA and evidence synthesis benefit from agent co-investigation.
• Observability-first orgs: Teams already investing in structured logging, distributed tracing (OpenTelemetry), and metric collection can fully operationalize agents.
• Operational runbook automation: Proactive health checks, capacity planning, and scheduled maintenance tasks that don’t require human judgment.
• Highly customized infrastructure: Orgs with bespoke tooling can plug agents in via APIs and Skills rather than forcing standardization.

When it doesn’t

Resolve is not a general cloud compute or data platform; teams seeking VM hosting, object storage, or data warehousing will not find it here. Early-stage orgs without mature observability instrumentation or on-call processes may see limited ROI until foundational observability work is complete.

Inclusion criteria

✅ Transparent pricing: Self-serve pricing page available at https://resolve.ai/pricing; contact required for custom quotes.

✅ Self-service signup: Free trial and demo booking available at https://resolve.ai/book-a-demo.

✅ Public SLA or status page: Security posture documented at https://resolve.ai/security; status transparency aligned with enterprise SaaS standards.