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Selector AI provides an AI-powered observability and network intelligence platform that unifies monitoring and automates root cause analysis for large enterprises. It ingests, normalizes, and correlates metrics, logs, events, and configurations from hundreds of sources to deliver actionable insights through a single interface. Key components include Selector Copilot, a Network Language Model for natural language queries, and a Digital Twin to visualize dependencies and simulate changes, along with AI-driven root cause analysis. The goal is to reduce downtime and mean time to repair by speeding troubleshooting, advance AI capabilities, and help Fortune 1000 customers manage complex multi-cloud environments.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$98M
Headquarters
Santa Clara, California
Founded
2019
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Total Funding
$98M
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Selector has launched an AI-powered multi-cloud observability solution to address visibility gaps in hybrid network environments. The platform correlates signals across cloud, network and infrastructure to accelerate root cause analysis. The solution unifies telemetry data from public cloud, private cloud and on-premises data centres into a shared intelligence layer. Selector's patented data ingestion model harmonises data whilst preserving context across domains, enabling teams to identify issues and their impact across the full hybrid path. Key capabilities include unified multi-cloud data ingestion, cloud-change awareness, capacity intelligence, end-to-end path visualisation and cross-domain correlated alerts. The solution is now available across leading cloud platforms, allowing existing customers to extend visibility without disrupting workflows. Selector's platform aims to help organisations reduce mean time to resolution and prevent outages in increasingly complex hybrid environments.
Selector launches ai-powered multi-cloud observability solution, closing the network-to-cloud visibility gap. Selector announced the expansion of its platform with AI-powered multi-cloud observability capabilities. The extension of Selector's AI-driven observability approach into multi-cloud environments enables organizations to correlate signals across the full hybrid path. By unifying rich telemetry data from cloud, network, and infrastructure into a shared intelligence layer, Selector gives teams a more complete, actionable view of incidents and true root cause. As cloud adoption and hybrid infrastructure expansion have become the operational norm, teams need a way to preserve context across the full environment rather than investigating network, infrastructure, and cloud issues in separate silos. While the hybrid path has become mission-critical, correlation across that path was never built into traditional monitoring architecture. The resulting complexity and dependencies on domain-specific tools make finding root causes harder and outages last longer, thereby increasing operational burden on enterprises. For enterprises migrating to hybrid environments, this visibility gap is no longer just inconvenient; it is costly. Unlike tools that treat cloud and network observability as separate domains, the Selector solution is built around the end-to-end operational path. Its differentiation starts with how data is ingested, enriched, and correlated from the point of collection onward. Selector's patented data ingestion model harmonizes the data across different domains while preserving context across cloud, network, and infrastructure telemetry. Selector AI and ML engines work on this harmonized data to correlate disparate signals from across domains, identify what changed, determine where an issue started, and explain how far the impact extends. The new capabilities include: * Unified Multi-Cloud Data Ingestion: Selector ingests and harmonizes data from public cloud, private cloud, and on-prem data center environments, providing unified visibility across cloud and hybrid deployments. * Cloud-Change Awareness: Teams can detect infrastructure and configuration changes across cloud environments, helping identify issues such as routing changes or misconfigurations before they cascade into broader incidents. * Cloud Usage and Capacity Intelligence: Users gain deep visibility into utilization across cloud constructs and connectivity paths to support right-sizing, planning, and more efficient cloud operations. * Vendor-Agnostic Data Pipeline: Organizations can now unify on-prem and cloud signals without forcing teams into separate monitoring silos or requiring replacement of existing tooling. * End-to-End Path Visualization and Validation: Organizations can now visualize the full path from on-prem to cloud networks and validate reachability, latency, and connectivity before issues impact users. * Cross-Domain Correlated Alerts and Root Cause Analysis: Users can apply the same correlation and analytics across network and cloud telemetry to reduce noise, and accelerate root cause analysis. * Topology-Aware Context: Selector preserves the relationships between assets, services, dependencies, and network paths, maintaining the operational context needed to understand incidents across hybrid environments. "Modern infrastructure is hybrid by default, but most operations workflows remain fragmented," said Nitin Kumar, CTO at Selector. "Selector's solution brings cloud into the same operational model as network observability, giving teams one correlated view across the hybrid path, so they can see the full context, reduce noise, and get to the true root cause faster. Selector's AI-powered multi-cloud observability solution is available immediately across leading cloud platforms. Existing customers can extend visibility into multi-cloud and hybrid environments without disrupting established workflows. David Marshall has been involved in the technology industry for over 30 years, and he's been working with virtualization software since 1999. He became a pioneer in the virtualization and cloud computing field - one of the few people in the industry allowed to work with Alpha stage server virtualization software from industry leaders: VMware (ESX Server), Connectix and Microsoft (Virtual Server).Through the years, he has invented, marketed and helped launch a number of successful software companies and products. David holds a BS degree in Finance, an Information Technology Certification, and a number of vendor certifications. He's also co-authored two published books: "VMware ESX Essentials in the Virtual Data Center" and "Advanced Server Virtualization: VMware and Microsoft Platforms in the Virtual Data Center" and was the technical editor for two popular Virtualization "For Dummies" books. With his remaining spare time, David founded and operates one of the oldest independent modern data center publications, VMblog.com. And co-founded CloudCow.com, a publication dedicated to Cloud Computing. Since 2009, and each year thereafter, David has been honored with the vExpert distinction by VMware by Broadcom for his evangelism.Connect on LinkedIn: https://www.linkedin.com/in/davidmarshall/
Selector, a Santa Clara-based AI-driven network intelligence startup, has raised $32 million in funding led by AVP, doubling its valuation to $375 million. Ansa Capital, Two Bear Capital, Sinewave Ventures and Singtel Innov8 participated in the round. The company reported cumulative annual recurring revenue reached 230% of 2024 levels, marking its fourth consecutive year of doubling ARR. New ARR bookings climbed to 370% of 2024 levels. Selector added three Fortune 20 customers and now counts approximately 80% of its customer base from Fortune 1000 organisations. Selector's platform correlates data across network, cloud and application domains to identify incident root causes. The company recently secured eight US patents and plans to release Agentic ChatOps capabilities for multi-turn reasoning across complex infrastructure environments.
Selector launches channel partner program, portal for AI solutions. Selector, a provider of AI-driven network operations, has launched a channel partner program and partner portal. The new program allows partners to sell Selector AI solutions, secure priority deal registration and lead sharing as well as gain access to joint marketing opportunities. The portal creates a centralized location for sales and technical enablement for support teams to market and sell complex products and services, the company said. Selector is a unified AIOps solution that gives telecom providers and enterprises visibility and intelligence into their complex networks, infrastructure and applications. The platform includes core products such as Correlation & Root Cause Analysis, network LLM and Copilot, and Operational Digital Twin, officials said. As part of the launch, Selector has hired Chris Martinez as director of channel sales. Martinez has more than 13 years of experience in observability, networking and IT operations in the channel space. His mandate is to "build and scale Selector's partner ecosystem, drive channel-led growth and enable partners to deliver consequential customer outcomes," officials said. "This is an exciting time to join Selector as it continues to expand globally and solidify its position at the forefront of AI-powered operations," said Martinez. "I am passionate about driving channel-led growth, and my background provides me with a unique perspective on the challenges and opportunities facing today's enterprises."
Selector adds Channel Partner Program and portal to boost access to AI Solutions and empower scalable go-to-market expansion. Allows Partners to Sell Selector Solutions and Benefit from Deal Registration, Lead Sharing, Joint Marketing, and Sales Enablement SANTA CLARA, Calif. (October 20, 2025) - Selector, the industry leader in AI-driven network operations, announced the launch of a Channel Partner Program and Partner Portal that together enable organizations to leverage Selector AI solutions to scale go-to-market expansion within a high-quality partner ecosystem. The new program allows partners to sell Selector AI Solutions, secure priority deal registration and lead sharing, and gain access to joint marketing opportunities. The portal creates a centralized location for critical sales and technical enablement to support teams in marketing and selling complex products and services. The result is an advanced level of collaboration among partners that can enhance the sales cycle, boost market exposure, and drive market expansion. Selector is an AIOps solution that gives the world's largest telecom providers and enterprises complete visibility and intelligence into their highly complex networks, infrastructure, and applications. The platform includes core products such as Correlation & Root Cause Analysis, industry-first network LLM & Copilot, and Operational Digital Twin. This unified AI-driven operations intelligence platform sets Selector apart from traditional monitoring and observability tools. As part of the program and portal launch, Selector has hired Chris Martinez as Director of Channel Sales. He has more than 13 years of experience in observability, networking, and IT operations in the channel space. His mandate is to build and scale Selector's partner ecosystem, drive channel-led growth, and enable partners to deliver consequential customer outcomes. "This is an exciting time to join Selector as it continues to expand globally and solidify its position at the forefront of AI-powered operations," said Martinez. "I am passionate about driving channel-led growth, and my background provides me with a unique perspective on the challenges and opportunities facing today's enterprises." In 2023, Selector was recognized by Gartner as a Cool Vendor of the Year, underscoring its innovation and market momentum. Chris is passionate about driving channel-led growth and enabling partners to leverage Selector's platform to create meaningful outcomes for their customers. Martinez added that Selector's patented technology is transforming how organizations simplify operations and maximize the value of their IT and network data. The ability to deliver quick time-to-value with enterprise clients has fueled rapid adoption across industries. About Selector Selector is an AIOps solution that gives the world's largest companies complete visibility and intelligence into their highly complex networks, infrastructure, and applications. Leading telecommunications companies, cloud service providers (CSPs), and enterprises across various industries utilize the company's technology to ensure their networks are up and running, generating revenue. It achieves this by eliminating 90% of the repair time teams spend manually identifying the origins of incidents and outages. Selector's AI engine interfaces directly with its industry-first network large language model (NLM) to autonomously sort through enormous volumes of data, making troubleshooting instantaneous. Now, for the first time, network teams can have real-time conversations in human language with all their data across warehouses and tooling, fixing issues exponentially faster. Selector's AIOps and Event Intelligence solution has been recognized by Gartner in multiple Hype Cycle and Market Guide reports. Founded in 2019, Selector is backed by Two Bear Capital, Atlantic Bridge Ventures, Sinewave Ventures, Ansa Capital, Singtel Innov8, Hyperlink Ventures, AT&T Ventures, Bell Ventures, Comcast Ventures, and others. To learn more about Selector, visit www.selector.ai.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$98M
Headquarters
Santa Clara, California
Founded
2019
Find jobs on Simplify and start your career today