Resolve.ai
Resolve.ai provides an AI platform ("AI for prod") that automates production operations, incident management, and on-call for enterprise engineering teams, using a multi-agent architecture with 60+ integrations and a continuously updated production knowledge graph. It serves large enterprises and select mid-market customers across financial services, SaaS, cybersecurity, and AI infrastructure.
- Company typePrivate
- Founded2024
- HeadquartersSan Francisco, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Resolve.ai does
Resolve.ai is a private, venture-backed software company founded in 2024 and headquartered in San Francisco that builds an AI platform marketed as "AI for prod," which automates production operations and incident management for engineering teams. The product is organized as a platform-plus-modules architecture: a shared Resolve AI Platform that pairs frontier LLMs with domain-specialized models post-trained on production data, a continuously updated knowledge graph of services, dependencies, and deploys, a governed-actions layer (Workbench) with org/team/individual guardrails, and 60+ pre-built integrations across code, infrastructure, telemetry, knowledge, and collaboration tools. On top of that platform sit four named modules: an On-call Agent that triages alerts before paging engineers, an Incidents Agent that runs a multi-agent "Agent Teams" architecture (Lead, Triager, Investigator, Verifier, Mitigator) for parallel root-cause investigation, Background Agents that automate operational workflows on schedules or event triggers, and a Custom Agents capability exposing the same primitives via MCP, public API, and composable Skills. Resolve AI Labs is a separate applied research sub-brand developing domain-specific models and evaluation systems.
The company sells primarily to large enterprise engineering organizations with complex distributed production environments (financial services, hyperscale SaaS, cybersecurity, and regulated industries) and to a growing mid-market tail. Revenue is generated through annual enterprise SaaS subscriptions (quote-based, not publicly priced), procurement via AWS Marketplace and Slack Marketplace, and Forward Deployed Engineering engagements that convert field complexity into product configuration. GTM blends enterprise field sales in San Francisco and New York with PLG-style content (prompt library, glossary, ebooks), community-led distribution anchored by the founders' status as co-creators of OpenTelemetry, and heavy event-driven demand generation (AWS Summit, AI Engineer World's Fair, GitHub Universe, HumanX, WEF Davos). Notable named customers include Coinbase, DoorDash, Salesforce, Zscaler, MongoDB, Snowflake, Expedia, MSCI, Toast, Eventbrite, Guidewire, Blueground, Pinecone, Fireworks, and others, with documented outcomes such as 87% faster time to root cause at DoorDash and 72% reduction in investigation time at Coinbase.
Resolve.ai was founded by Spiros Xanthos (CEO) and Mayank Agarwal (CTO), co-creators of OpenTelemetry and former Splunk Observability leaders whose prior startup Omnition was acquired by Splunk; the broader team draws from Google DeepMind, Meta Superintelligence Labs, Google, Meta, Microsoft, and Databricks. The company has raised $190M in 18 months across a $35M seed led by Greylock (Oct 2024), a $125M Series A led by Lightspeed at a $1B valuation (Feb 2026), and a $40M Series A extension co-led by DST Global and Salesforce Ventures at a $1.5B valuation (Apr 2026). It is SOC 2 Type II certified and aligned with GDPR and HIPAA, and operates out of San Francisco with a sales presence in New York.
Resolve.ai firmographics
Firmographics- Name
- Resolve.ai
- Legal name
- Resolve AI, Inc.
- Website
- https://resolveai.one
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Resolve.ai provides an AI platform ("AI for prod") that automates production operations, incident management, and on-call for enterprise engineering teams, using a multi-agent architecture with 60+ integrations and a continuously updated production knowledge graph. It serves large enterprises and select mid-market customers across financial services, SaaS, cybersecurity, and AI infrastructure.
- Ownership category
- akta.pro rank
Resolve.ai industry classification
Industry- Product category
- AIOps / Autonomous Production Operations
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
- akta.pro secondary industries
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)
Keywords
Where Resolve.ai is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Resolve.ai business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise SaaS subscription: Recurring SaaS contracts for the AI Production Engineer platform sold to enterprise engineering organizations; consumption and seat-based tiering inferred from enterprise sales motion and 'Get Pricing' gated CTA (public pricing not disclosed).
- Marketplace-mediated enterprise licensing: Additional procurement path via AWS Marketplace and Slack Marketplace, letting customers purchase through existing cloud agreements.
- Forward Deployed Engineering / Implementation services: Forward Deployed Engineers embed with enterprise customers during deployment to convert field complexity into product configuration; supports land-and-expand adoption.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Quote-based enterprise pricing |
Go-to-market motion5 records
Distribution channels4 records
Marketing channels10 records
Resolve.ai product offering
Product offeringCore offering
Resolve.ai sells a multi-agent AI platform that autonomously manages production software operations for enterprise engineering and SRE teams, replacing or augmenting on-call and incident-response workflows. Its named agent offerings include an On-call Agent, an Incidents Agent, Background Agents for continuous monitoring, and Custom Agents built on the same platform. The product is positioned as autonomous production operations software rather than a chat-based copilot, with native OpenTelemetry and MCP integrations anchoring it to a customer's existing observability and tooling stack.
Product overview
Resolve.ai offers a single unified AI platform for production operations ("AI for prod") built around a multi-agent system that drives on-call, incidents, and operational tasks, with a platform-plus-modules architecture. The four named modules are the On-call Agent (delegated alert triage and mitigation), the Incidents Agent (multi-agent root-cause investigation with Workbench), Background Agents / Operational Tasks Agent (always-on workflow automation), and Custom Agents (MCP/API/Skills for building bespoke agents on top of Resolve). All four run on the shared Resolve AI Platform, which provides Models, Context, Governed Actions, 60+ Integrations, and Security layers. Resolve AI Labs is a separate research sub-brand building the domain-specific models and evaluation systems underlying the product.
Differentiator
Problem solved
Functional benefit
Brands
- Resolve AI Labs: Applied AI research lab within Resolve AI building domain-specific models, evaluation systems, simulated environments, and multi-agent architectures required for AI to reason about and autonomously operate complex production environments. Founded by researchers from Meta Superintelligence Labs and Google DeepMind.
Products and services
- Resolve AI Platform The Resolve AI Platform is the multi-agent runtime and knowledge-graph substrate that powers all of Resolve.ai's agents. It ingests OpenTelemetry and other production telemetry, builds a domain-specific knowledge graph of the customer's environment, and provides the execution and tool-integration (including MCP) layer that specialized agents operate on. It is sold to enterprise engineering and SRE organizations as the foundation for autonomous on-call, incident response, and root-cause analysis.
- On-call Agent The On-call Agent is an AI agent that automates on-call responsibilities for engineering teams, including alert triage, acknowledgement, escalation, and initial investigation. It is sold to enterprise SRE and platform engineering teams that want to reduce on-call burden and alert fatigue, and is typically deployed as part of the Resolve AI Platform.
- Incidents Agent The Incidents Agent is an AI agent that drives incident response end-to-end, coordinating detection, investigation, stakeholder communication, and remediation workflows during production incidents. It is sold to enterprise engineering, SRE, and incident-management teams looking to reduce MTTR and standardize response quality across complex, distributed production environments.
- Background Agents Background Agents are continuously running AI agents that monitor the customer's production environment, surface anomalies, and proactively perform early-stage diagnostics outside of active incidents. They are sold to enterprise engineering teams that want ongoing, autonomous oversight of production systems rather than only reactive on-call automation.
- Custom Agents Custom Agents allow enterprise customers to build bespoke AI agents on top of the Resolve AI Platform, tailored to their own production workflows, internal tools, and runbooks. They are sold to enterprise engineering organizations that need workflow-specific automation beyond the standard On-call, Incidents, and Background agents.
Quantifiable outcome
- Up to 87% faster time to root cause (DoorDash Ads)
- +9 more outcomes
Companies that use Resolve.ai
Customer profileNamed customers18 records
Segments6 records
Ideal customer profiles1 record
Resolve.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability12 records
Feature8 records
Resolve.ai partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered core and flagship.
- GitHubcoreNative integration for code access and governed actions (commit reverts, opening PRs, executing GitHub workflows). Listed as a primary code integration in Resolve's product overview.
- Amazon Web Services (AWS)flagshipInfrastructure integration alongside GCP and Kubernetes; AWS Marketplace listing gives customers a procurement path through existing AWS agreements.
- Google Cloud Platform (GCP)coreCloud infrastructure integration listed in Resolve's product overview.
- KubernetesflagshipKubernetes is a primary infrastructure target; Resolve has dedicated Kubernetes troubleshooting content and case study examples (Blueground, Gametime).
- DatadogflagshipPrimary observability integration; Coinbase case study calls out Resolve running structured investigations directly across Datadog.
- GrafanacoreTelemetry integration alongside Datadog and Prometheus; Resolve demonstrates alert-silencing actions on Grafana alerts in product UI.
- PrometheuscoreTelemetry integration for metrics and alerting.
- SplunkcoreTelemetry/log integration; founders are ex-Splunk leaders (Omnition was acquired by Splunk).
- NotioncoreKnowledge base integration used to bring team documentation into Resolve's investigation context.
- ConfluencecoreKnowledge base integration alongside Notion and Google Drive.
- SlackflagshipPrimary collaboration integration; findings, priority lists, and actions surface in Slack channels, and Resolve is published in the Slack Marketplace for one-click install.
- Microsoft TeamscoreCollaboration integration alongside Slack and Linear for delivering findings to engineering teams.
- AtlassiancoreAnnounced 'Atlassian MCP support for Resolve AI' to integrate with Atlassian tools via the Model Context Protocol.
- AnthropicflagshipAnthropic model provider for Resolve AI's agentic platform; Resolve publicly evaluated Claude Opus 4.6 on long-horizon agent production tasks as a drop-in replacement for Opus 4.5.
Scale indicators13 records
Recent moves7 records
Expansion highlights6 records
Resolve.ai competitors and assessment
Company assessmentDirect peers
- FireHydrant: Incident response and reliability platform combining on-call, incident management, and retrospectives. Targets enterprise engineering organizations with reliability pain points similar to Resolve's ICP.
- PagerDuty: Incident response and on-call management platform used by enterprise engineering teams. Competes head-on with Resolve's On-call and Incidents Agent modules, and has been layering in AI-driven automation features that overlap directly with Resolve's positioning.
- incident.io: Incident management platform tightly integrated with Slack and Zoom for on-call routing, incident response, and post-mortems. Competes directly with Resolve's Incidents and On-call Agent modules for engineering-team incident workflows.
- Rootly: Slack-native incident management and on-call platform with AI-assisted incident response and post-mortems. Targets the same SRE/on-call buyer as Resolve and competes for incident-response tooling budget.
- BigPanda: Incident intelligence and AIOps platform that correlates alerts across the observability stack and automates incident triage. Overlaps directly with Resolve's automated triage, root-cause correlation, and routing capabilities.
Broad incumbents
- Datadog: Cloud observability leader with logs, metrics, traces, and incident management. Sits on the telemetry data Resolve has to integrate with (Datadog is a primary integration) and is actively building AI-driven incident/ops features that compete with Resolve's agents.
- Splunk: Observability and SIEM platform where Resolve's founders previously led the Observability business. Splunk's log analytics and incident tooling overlap with Resolve's incident-investigation use cases, making it both a partner (data source) and a competitive threat.
- ServiceNow: Enterprise ITSM and workflow automation platform with incident response and AIOps capabilities. Competes with Resolve at the enterprise tier for incident management budget and is embedding generative AI agents across its ITSM workflows.
- New Relic: Full-stack observability platform with APM, infrastructure, logs and AI-driven incident analysis. Competes with Resolve for engineering reliability budgets while also being a potential telemetry data source.
Emerging players
- Chronosphere: Cloud-native observability platform focused on cost-controlled, high-cardinality monitoring for large engineering organizations. Already a listed Resolve integration partner and a partial competitor for reliability-oriented observability budgets.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Resolve.ai social profiles
Digital presenceResolve.ai compliance and trust
Trust signalCompliance3 records
Resolve.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
Resolve.ai leadership team
Management profileNumber of profiles
Profiles6 records
Resolve.ai funding detail
Funding detailFunding overview
Funding rounds3 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Resolve.ai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Resolve.ai
What does Resolve.ai do?
Resolve.ai sells a multi-agent AI platform that autonomously manages production software operations for enterprise engineering and SRE teams, replacing or augmenting on-call and incident-response workflows. Its named agent offerings include an On-call Agent, an Incidents Agent, Background Agents for continuous monitoring, and Custom Agents built on the same platform. The product is positioned as autonomous production operations software rather than a chat-based copilot, with native OpenTelemetry and MCP integrations anchoring it to a customer's existing observability and tooling stack.
Is Resolve.ai a public or private company?
Resolve.ai is a private company. It is classified as venture growth investor backed and is currently operating.
When was Resolve.ai founded?
Resolve.ai was founded in 2024. It employs 101 to 250 people.
Where is Resolve.ai based?
Resolve.ai is headquartered in San Francisco, United States, in the North America region.
How does Resolve.ai make money?
Three revenue lines are on record. Enterprise SaaS subscription is the primary driver. The others are marketplace-mediated enterprise licensing and forward Deployed Engineering / Implementation services.
Who are Resolve.ai's main competitors?
Direct peers on record are FireHydrant, PagerDuty, incident.io, Rootly and BigPanda. Broad incumbents are Datadog, Splunk, ServiceNow and New Relic. Chronosphere is listed as an emerging player.
Does Resolve.ai have an API?
Yes. Public API provides programmatic access to Resolve AI primitives (investigation, context, and remediation) so engineering teams can plug Resolve into their existing agent ecosystems and workflows. Composable Skills are also exposed alongside the API. Authentication uses token or API keys with encryption. Available via REST with a public-facing MCP server (currently in beta) and Skills. Developer documentation is at docs.resolve.ai.
What industry is Resolve.ai in?
Resolve.ai's product category is AIOps / Autonomous Production Operations. Its primary akta.pro industry code is HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII), with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 5132 and its SIC code is 7372.