Resolve AI

Name: Resolve AI
Brand: Resolve AI

AI NativeLeader

AI for prod: Used by Coinbase, MSCI, and Zscaler to resolve incidents, optimize costs, and code with production context

Est 2024|Valuation $1.5B|Raised $200M|18 Ref Customers

LinkedIn 19K|Web traffic 32K|FTEs 168|HQ San Francisco, CA

MarketsIncident Management & On-Call

01Competitive Landscape

Narrative analysis

- Potential strengths: if the product performs substantive end-to-end investigations (beyond summarization), it could reduce specialized SRE effort and reduce time to root cause in complex microservice environments. The vendor's claimed differentiation centers on linking code/context/infra with telemetry and providing agentic workflows. - Competitor strengths: PagerDuty provides mature incident lifecycle management, governance, and published pricing for base capabilities; ServiceNow offers broad enterprise process integration and CMDB-backed workflows but typically with heavier implementations. - Customer selection dynamics (inferred): organizations may select a vendor like Resolve AI when incident investigations are the core bottleneck and telemetry is sufficient to support evidence generation. Organizations may prefer PagerDuty or ServiceNow when governance, ticketing, and standard incident processes are the primary requirements.

Market adoption and trend notes

Recent funding announcements and media coverage indicate investor interest in the "AI SRE / AI for prod" category. Earlier press reporting that suggested modest commercial scale indicates the vendor may still be in relatively early stages of broader commercial adoption despite having notable customers listed on public materials.

	Resolve AI (resolve.ai)	PagerDuty (Incident Mgmt + AIOps)	ServiceNow ITOM / AIOps
Starting Price	Not publicly listed (request pricing)	Incident Management: free tier then per-user plans; AIOps add-on pricing is published for some tiers	Not publicly listed (enterprise sales-led)
Typical use case	Enterprises seeking AI-driven investigation across telemetry, code, and infrastructure where incident investigation is a bottleneck	Organizations standardizing incident response, on-call scheduling, and workflow automation	Large enterprises needing broad IT operations management integrated with CMDB and service management
Key strength	Vendor positions product as focused on production investigations and end-to-end evidence collection	Mature incident management ecosystem with broad integrations and governance; clearer published pricing for base tiers	Deep enterprise workflow and CMDB integration; broad cross-IT process support
Key weakness	Limited independent reviews available; pricing opacity; trust and access concerns for production actions	Costs may increase with add-ons or consumption; may rely on humans for deep RCA	Implementation complexity and longer time-to-value in many deployments

01Competitive Landscape

Narrative analysis

Potential strengths: if the product performs substantive end-to-end investigations (beyond summarization), it could reduce specialized SRE effort and reduce time to root cause in complex microservice environments. The vendor's claimed differentiation centers on linking code/context/infra with telemetry and providing agentic workflows.
Competitor strengths: PagerDuty provides mature incident lifecycle management, governance, and published pricing for base capabilities; ServiceNow offers broad enterprise process integration and CMDB-backed workflows but typically with heavier implementations.
Customer selection dynamics (inferred): organizations may select a vendor like Resolve AI when incident investigations are the core bottleneck and telemetry is sufficient to support evidence generation. Organizations may prefer PagerDuty or ServiceNow when governance, ticketing, and standard incident processes are the primary requirements.

Market adoption and trend notes

Recent funding announcements and media coverage indicate investor interest in the "AI SRE / AI for prod" category. Earlier press reporting that suggested modest commercial scale indicates the vendor may still be in relatively early stages of broader commercial adoption despite having notable customers listed on public materials.

	Resolve AI (resolve.ai)	PagerDuty (Incident Mgmt + AIOps)	ServiceNow ITOM / AIOps
Starting Price	Not publicly listed (request pricing)	Incident Management: free tier then per-user plans; AIOps add-on pricing is published for some tiers	Not publicly listed (enterprise sales-led)
Typical use case	Enterprises seeking AI-driven investigation across telemetry, code, and infrastructure where incident investigation is a bottleneck	Organizations standardizing incident response, on-call scheduling, and workflow automation	Large enterprises needing broad IT operations management integrated with CMDB and service management
Key strength	Vendor positions product as focused on production investigations and end-to-end evidence collection	Mature incident management ecosystem with broad integrations and governance; clearer published pricing for base tiers	Deep enterprise workflow and CMDB integration; broad cross-IT process support
Key weakness	Limited independent reviews available; pricing opacity; trust and access concerns for production actions	Costs may increase with add-ons or consumption; may rely on humans for deep RCA	Implementation complexity and longer time-to-value in many deployments