Selector

Overview

Selector is an operations intelligence platform for teams managing networks, infrastructure, cloud, and applications. It is best suited to organizations that need to connect incidents across those domains and govern automated response. Its breadth is compelling, but buyers should weigh it against custom pricing and an approval-led approach to action.

Selector ingests metrics, logs, configurations, and flows from more than 300 telemetry sources without agents. Its integrations span more than 500 connections across network, infrastructure, containers, and apps, including IP Fabric, LogicMonitor, Moogsoft, and SQL databases. The separate source and integration counts suggest broad coverage for mixed environments, though teams should confirm their particular systems are supported.

The platform correlates events, metrics, and logs using baselines, rules, and machine learning, then builds a live knowledge graph. It links incidents across infrastructure, services, and applications to provide explainable root-cause insights. Rosetta accepts natural-language questions and answers them using operational context; Foundry coordinates specialist agents to investigate, act, and verify. This is a coherent path from detection to response, rather than a collection of disconnected alerting features.

Key features

Context and investigation

Cross-domain correlation and the knowledge graph are Selector’s central advantage: teams can follow relationships between signals and incidents instead of investigating each layer in isolation. Explainable root-cause insights and Rosetta’s plain-language interface can make that context more accessible to operations staff and developers. The value depends on the relevance of the telemetry and operational context being connected.

Governed agent operations

Foundry turns correlated context into specialist agents that can investigate, act, and verify within user-defined guardrails. Teams can build and govern agents in a Git repository under existing role-based access controls; actions wait for approval and leave an auditable trail. That governance is a meaningful safeguard for organizations wary of letting automation make unreviewed changes, though the approval gate means it is not a hands-off remediation system.

Selector supports MCP and A2A connections and lets customers choose their LLM. That flexibility can fit existing tool and model choices. It also puts the burden on buyers to assess how their preferred stack fits the deployment and governance model.

Pricing

Selector is paid, with custom pricing. The company invites visitors to try it for free and directs them to contact sales, but does not state a trial length or describe a self-serve free plan. Buyers should clarify the scope and terms of free access, as well as the commercial offer, before comparing total costs.

There are no published plan tiers or seat and usage limits to distinguish a lower-cost entry point from a larger deployment. This makes Selector difficult to budget from the outset; it is a better fit for teams prepared to discuss requirements with sales than for buyers seeking transparent, self-serve pricing.

Platforms

Selector is available through web and API access, on Linux, and as a self-hosted offering. Its Kubernetes-native deployment can run on-premises, in a customer cloud, or as SaaS, giving organizations options for placing the platform in their environment. That flexibility is useful for hybrid operations, but teams should confirm which deployment best suits their infrastructure and operating requirements.

Who it's for

Selector names network operations teams, network architects, executives, application developers, and site reliability engineers as intended users. It is strongest for organizations whose incidents cross network, infrastructure, and application boundaries, and that want a shared operational context plus controlled agent-led response. Teams focused on a narrow monitoring scope, or those that need a clearly priced self-serve product, may find it less suitable.

Pros and cons

• Broad telemetry reach: Agentless collection across 300+ sources and 500+ integrations can help unify signals from varied technology domains.
• Connected incident analysis: Correlation, a live knowledge graph, and explainable root-cause insights support investigation across infrastructure, services, and applications.
• Governed automation: Git-based agent governance, role-based controls, audit trails, guardrails, and approval before execution give teams oversight of agent actions.
• Flexible deployment: On-premises, customer-cloud, and SaaS options can accommodate differing environment preferences.
• Commercial uncertainty: Custom pricing and unclear free-access terms make budgeting and initial evaluation harder.
• Approval remains part of response: Requiring approval before actions execute protects control, but is less suited to teams seeking fully unattended remediation.

Alternatives

AIOps Platforms is a useful category starting point for readers comparing products across the field.

Choose Digitate ignio AIOps if per-event and per-assist prices for its IT Event Management and Document Assist plans are more useful than a custom quote. BMC Helix AIOps is another paid, sales-priced option, with API, Linux, web, and Windows platform support.

ScienceLogic AI Platform may suit buyers who want a free trial and a published starting point of $5 a month for Skylar One Standard, billed from $5 USD per device/month, alongside hybrid cloud observability and 400+ integrations. OpenText AI Operations Management (formerly Operations Bridge) offers private-cloud Express and private- or public-cloud Premium plans, with event management across both.

Vitria VIA AIOps is another paid option for API, self-hosted, and web deployments. NetAI is worth considering for a freemium route: its Core Free plan covers 1–10 devices, includes the full Core platform, and can be upgraded; the supplied plan information also gives Core Enterprise a price of $5.99 a month.

IncidentFox is an open-source alternative with community support through GitHub and Slack. Keep may fit teams seeking a freemium offering with a published Growth plan at $199 a month, including 200 deduplicated alerts per month, unlimited ingested alerts, 100 workflows, 20 integrations, 10 users, and two weeks of data retention.

Verdict

Selector is a strong candidate for organizations that need full-stack telemetry correlation and want to move from incident context to governed agent operations. Its cross-domain analysis, flexible deployment, and approval controls are persuasive reasons to choose it. Look elsewhere if transparent pricing, defined free-plan limits, or autonomous action without approval is essential; Selector’s commercial terms require a sales conversation, and its agents do not execute actions until approved.