Selector

Name: Selector
Brand: Selector

Industry leading AIOps platform for operational intelligence.

Est 2019|Valuation $375M|Raised $92.5M|15 Ref Customers

LinkedIn 14K|Web traffic 67K|FTEs 151|HQ Santa Clara, CA

MarketsInfrastructure Monitoring Observability Platform

Published Oct 15, 2026

01Common complaints

- When you need transparent public pricing and a predictable self-serve buying motion - Selector appears quote-based, whereas Dynatrace and PagerDuty publish list pricing publicly. ([dynatrace.com](https://www.dynatrace.com/pricing/?utm_source=openai)) - When you require mature out-of-the-box reporting and dashboard templates with minimal customization - Multiple snippets point to limited canned reporting and dashboard customization wishes. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - When you need a fully conversational, low-friction natural language interface today - Gartner excerpt indicates NLQ requires structured phrasing and is “not where we need it to be.” ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - When you want deep, widely validated market proof from large review volumes - Gartner shows only 7 ratings; TrustRadius shows 2 reviews/ratings, which may not capture edge cases or common failure modes. - Publicly visible limitations (from reviews) - Limited out-of-the-box reporting/templates. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Dashboard customization needs improvement (per reviewers). ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - NLQ maturity / structured prompting requirement. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Longer-than-expected implementation in at least one enterprise case. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector?utm_source=openai)) - Roadmap / future capabilities - Vendor announced plans to release “next generation ChatOps” with “Agentic ChatOps” supporting multi-turn reasoning (timing not specified on the page). ([selector.ai](https://www.selector.ai/newsroom/selector-raises-32-million-to-eliminate-downtime-with-ai-powered-observability/?utm_source=openai)) - Security/compliance disclosure gap - No publicly documented SOC 2 / ISO / detailed enterprise security feature list found in this research pass.

02Why they buy

- Network-first AIOps positioning - Reviewers explicitly say Selector treats the network as foundational, not an afterthought (a common criticism of app-centric AIOps). ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - High-touch vendor partnership - Multiple Gartner snippets emphasize responsiveness and collaboration. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector?utm_source=openai)) - Innovation narrative around causal reasoning and network-trained LLMs - Vendor announced eight U.S. patents spanning causal inference, LLM training, correlation, predictive maintenance, and network path intelligence. - Note: patents support novelty claims but do not prove operational outcomes for a given buyer; validate via pilot. ([selector.ai](https://www.selector.ai/newsroom/selector-achieves-major-innovation-milestone-with-eight-u-s-patents-granted-in-ai-powered-network-intelligence/?utm_source=openai))

03Field reports

- Gartner Peer Insights (generally positive; limited sample size) - Overall rating shown: 4.7/5 from 7 ratings (as of the page snapshot). Review count is small, which increases the risk that the visible sentiment is not representative. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Positive themes (quotes) - “Network-First Approach… Selector was clearly built with networking at its core.” (Gartner Peer Insights “Likes & Dislikes” excerpt) ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - “The functionality of the tool is incredible easy… able to create by own custom dashboards.” ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - “support provided by the selector is exceptional… attentive to our needs” (review excerpt). ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector?utm_source=openai)) - Negative/critical themes (quotes) - “Out of the box reporting capabilities were a bit limited… we had to create them ourselves.” ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - “current maturity of the NLQ is not where we need it to be… you are required to structure the question in a specific way…” ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - “Selector Team Highly Responsive But Implementation Time Longer Than Expected” (review title/excerpt). ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector?utm_source=openai)) - TrustRadius (very limited review volume; includes incentivized disclosure) - TrustRadius score shown: 7/10 with 2 reviews/ratings (low sample size). ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - Positive themes (quotes) - “Selector Analytics has proven to be super helpful for our SRE and DevOps team.” ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - ROI claims (vendor/user-reported): “Reduced our server costs… know when to scale up and when to scale down.” (self-reported; no independent validation). ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - Critical themes (quotes) - “Dashboard Customizations would be good to have.” ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - “Integration with tools such as Slack.” (listed as a con; note TrustRadius also lists Slack as an integration, so this may reflect the reviewer’s deployment state, desired depth of integration, or historical product capability at review time). ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - Reddit (community sentiment; sparse, mixed, and sometimes vague) - r/devops thread asking for experiences indicates limited community visibility (at least at the time) and includes vendor employees responding, which can bias the thread toward promotional replies. - A later commenter (May–June 2025) says: “We used it for some time but it did not fit our purposes” and describes it as “over-promise and under-deliver,” without technical details. ([reddit.com](https://www.reddit.com/r/devops/comments/xkyoyp?utm_source=openai)) - G2 - Accessible G2 content in this crawl primarily shows an “alternatives” page rather than detailed review text for Selector. It lists competitors like Dynatrace and New Relic as common alternatives. ([g2.com](https://www.g2.com/products/selector/competitors/alternatives?utm_source=openai)) - Why customers chose Selector (evidence in reviews) - “Network-first” differentiation vs more app-centric AIOps tools is repeatedly highlighted in Gartner excerpts. - Flexible ingestion of multiple data types and high-touch vendor partnership/support are frequently praised. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Why some customers left / churn signals - Reddit has at least one anecdote of “did not fit our purposes” and “over-promise and under-deliver,” but it lacks specifics, so it should be treated as a weak churn signal until corroborated. ([reddit.com](https://www.reddit.com/r/devops/comments/xkyoyp?utm_source=openai)) - Vendor materials and claims - Selector positions itself as reducing downtime, MTTR, and alert fatigue through correlation, knowledge graphs, and LLM-based summarization. ([selector.ai](https://www.selector.ai/learning-center/full-stack-monitoring-5-key-components-and-critical-best-practices/?utm_source=openai)) - Vendor claims in Feb 2026 funding announcement include strong growth metrics (ARR multiples, Fortune customer mix) but provides no auditable methodology or independently verifiable customer-by-customer outcomes. ([selector.ai](https://www.selector.ai/newsroom/selector-raises-32-million-to-eliminate-downtime-with-ai-powered-observability/?utm_source=openai)) - Customer success metrics - TrustRadius review claims “Reduced our server costs” and faster identification/resolution; these are self-reported and not independently audited. ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - Methodology gaps / what’s missing for a buyer - Limited independently published, detailed case studies with clear baselines, time windows, and measurement methodology. - Few public references to hard operational metrics (MTTR reduction %, alert reduction %) tied to named customers in accessible sources.

04Best fit

- Company sizes: specific employee counts and revenue ranges - Best-fit likely: 1,000+ employee enterprises and network-heavy organizations (telecom, large IT services, large regulated enterprises) based on reviewer company sizes shown in Gartner. - The vendor states a strong Fortune 1000 mix (not independently verifiable). ([selector.ai](https://www.selector.ai/newsroom/selector-raises-32-million-to-eliminate-downtime-with-ai-powered-observability/?utm_source=openai)) - Industries and verticals where adoption is strongest (with customer examples) - Telecom and large IT services show up prominently in Gartner reviews. - TrustRadius example reviewer: WATI (51–200 employees) indicates possible mid-market usage as well. ([trustradius.com](https://www.trustradius.com/products/selector-analytics/reviews?utm_source=openai)) - Roles and personas: decision makers AND end users - Decision makers - VP/Director Network Engineering, Operations leaders, IT Operations leadership. - End users - NOC engineers, SRE/DevOps, network operations engineers, platform operations teams. - Pain points and challenges the product addresses - Correlating across “multi-domain” telemetry (logs/metrics/events/topology) to reduce MTTR. - Network troubleshooting where APM-centric platforms may lack deep network modeling. - Qualification criteria: what makes a GREAT fit - Highly complex network environments with many data sources and a need for cross-domain correlation. - Organizations willing to invest in onboarding and ongoing content development (dashboards, reports, queries). - Teams that value close vendor engagement and iterative tuning. - Deal disqualifiers: what makes a POOR fit - Small teams seeking low-touch, self-serve onboarding with abundant prebuilt content. - Organizations with strict procurement requirements for publicly documented SOC 2 / ISO certifications and detailed security posture (unless Selector can provide evidence under NDA).

05The pitch

- What the product does (core value proposition in objective terms) - Selector is an AIOps / observability and “network intelligence” platform that ingests telemetry from multiple sources, correlates signals across domains (network, infrastructure, applications), and aims to reduce alert noise and speed up root-cause analysis. - The product positioning emphasizes “network-first” observability (network telemetry and topology as first-class signals) plus AI-driven correlation and natural-language interaction (ChatOps/NLQ) for investigation and reporting. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Target market and market positioning - Target customers appear to be mid-market to large enterprise organizations operating complex hybrid / multi-cloud environments and large networks (telecom, large enterprises with heavy networking dependencies). - Gartner Peer Insights reviewers skew to very large companies (often $1B+ revenue) and telecom/IT services, suggesting an enterprise-leaning deployment profile. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Company background (founding year, HQ, key leadership) - Founded: 2019. - HQ: Santa Clara, California, USA. - Leadership (as stated by vendor): CEO Kannan Kothandaraman; CTO Nitin Kumar (both described as former Juniper Networks executives in vendor materials). ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Funding and growth: investment rounds, acquisitions, estimated customer count/revenue if public - Funding (vendor and third-party): - Series A (reported) in March 2022: $28M (vendor press / reprint). ([selector.ai](https://www.selector.ai/newsroom/converge-selector-raises-28-million-for-its-aiops/?utm_source=openai)) - Series B announced Nov 19, 2024: $33M; vendor stated total funding “more than $66M.” ([selector.ai](https://www.selector.ai/newsroom/selector-ai-raises-33m-series-b-to-eliminate-downtime-for-the-worlds-largest-networks/?utm_source=openai)) - Additional strategic round announced Feb 18, 2026: $32M; vendor claimed valuation $375M and “ARR grows nearly four times” (methodology not independently provided). ([selector.ai](https://www.selector.ai/newsroom/selector-raises-32-million-to-eliminate-downtime-with-ai-powered-observability/?utm_source=openai)) - CB Insights lists total raised at $66M and last funding round as Series B $33M on Nov 19, 2024; note this may not include (or may categorize differently) the Feb 2026 round. ([cbinsights.com](https://www.cbinsights.com/company/selector/financials?utm_source=openai)) - Customer count / revenue - No audited revenue or public customer count found in accessible sources. - Vendor claims: “approximately 80% of customers are now Fortune 1000 organizations” and references Fortune 20/Fortune 1000 adoption; these claims are not independently verified in the sources reviewed. ([selector.ai](https://www.selector.ai/newsroom/selector-raises-32-million-to-eliminate-downtime-with-ai-powered-observability/?utm_source=openai)) - Pricing model with specific tiers and costs where available - Selector pricing is not publicly posted in accessible vendor pages reviewed (appears sales-led / quote-based). - Review platforms and vendor resources reviewed did not provide a public rate card. - Total cost of ownership considerations (implementation, training, hidden costs) - Implementation effort - Gartner reviews include at least one “implementation time longer than expected” comment, implying non-trivial onboarding depending on environment complexity and integrations. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Ongoing effort - Some reviewers mention limited “out-of-the-box” reporting/dashboards, implying ongoing dashboard/report building and tuning may be required. ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector-1041968642?utm_source=openai)) - Hidden / variable costs likely areas (inferred from typical AIOps tooling patterns; not confirmed for Selector) - Connector/integration development, data normalization efforts, professional services, and change management for NOC/SRE workflows. - Key competitors in the space (list 4-6 direct alternatives) - Dynatrace - New Relic - Splunk IT Service Intelligence (ITSI) - BigPanda - PagerDuty (AIOps / event intelligence adjacent; stronger in incident response) - BMC Helix Observability & AIOps / ScienceLogic AI Platform (appearing in Gartner alternatives list) ([gartner.com](https://www.gartner.com/reviews/market/aiops-platforms/vendor/selector/product/selector/alternatives?utm_source=openai))

Get a comprehensive analysis of Selector including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →