
Resolve AI builds software agents that handle on-call duty, incident investigation, and production operations for engineering teams.
The platform assigns agents to on-call rotations, where they receive alerts, pull context from application code, telemetry, and recent deployments, and hand the responding engineer a probable cause together with the evidence behind it.
Engineers can direct an agent during a live incident or schedule it to run recurring production tasks between incidents. The company reports SOC 2 Type II certification with GDPR and HIPAA compliance, and names DoorDash, Coinbase, Salesforce, Snowflake, and MongoDB among its customers.
Demand for autonomous incident response follows from AI-assisted code generation: more change reaches production per engineer, while on-call staffing does not scale at the same rate. Buyers in this category are enterprise platform and site reliability organizations that already pay for observability tooling.
The category is crowded, with Traversal and Cleric chasing the same reliability buyer and incumbent observability vendors adding agent features to contracts they already hold. Share is likely to follow demonstrated root-cause accuracy inside customer environments rather than product breadth.
The founders built and ran Splunk's observability business and contributed to OpenTelemetry, so the product is designed around the telemetry standards its buyers already emit rather than a proprietary collection format. That lowers the integration cost of putting an agent into an existing production stack.
Named enterprise customers including DoorDash, Coinbase, Salesforce, Snowflake, and MongoDB give the company production references in high-traffic environments. SOC 2 Type II certification plus GDPR and HIPAA compliance clears a procurement obstacle that slows younger competitors.