AI platform for incident resolution and production optimization
Resolve AI builds AI tooling for incident response and production debugging, adopted by Coinbase, DoorDash, MSCI, Toast, and Zscaler. The stack is frontend-heavy (TypeScript, React, Next.js, Vercel) and observability-centric (OpenTelemetry, Splunk), signaling a product designed for tight integration with existing monitoring and deployment infrastructure. Sales hiring (7 roles) substantially outpaces engineering (3), indicating go-to-market momentum ahead of scaling engineering capacity.
Resolve AI helps engineering teams reduce mean time to resolution (MTTR) and optimize operational costs through AI that correlates code, infrastructure, and telemetry data during incidents. Founded in 2024, the company serves mid-to-large enterprises in financial services, infrastructure, and food tech. The platform sits in the production observability space, positioning AI as a co-responder for both incident triage and cost optimization workflows. Operations span 51–200 employees, headquartered in San Francisco.
Coinbase, DoorDash, MSCI, Toast, and Zscaler use the platform for incident resolution, cost optimization, and production debugging.
Frontend: TypeScript, React, Next.js, Vercel. Observability: OpenTelemetry, Splunk Observability. Infrastructure: AWS, Kubernetes. Sales/ops: Salesforce, HubSpot, Ashby, Apollo.
Resolve AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.