Description
Selector’s customer base includes 50 deployments across service providers as well as large enterprises in retail, media distribution, colocation services, and multi-cloud networking services. These customers aim to correlate events across their network, applications, and infrastructure; eliminate the need for human intervention in RCS and remediation; and democratize access to insights using conversational natural language interfaces. Selector delivers on these outcomes, while accelerating incident remediation through smart, actionable alerting and a GenAI-based conversational interface.
Video length: 8:40
Speakers:
Nitin Kumar, Co-founder and CTO
Debashis Mohanty, VP Solutions Engineering and Customer Delivery
Transcript
Nitin: My name is Nitin, CTO and co-founder of Selector AI. I’m here with my partner, Debashis, who runs Solution Engineering, and John, who will assist with the demos today. We’ll start with a brief introduction about the company, our customers, how they use us, and then John and I will dive deep into the technology, focusing on how to interact with the product using a conversational interface.
Debashis: Since last year, we have around 50 deployments worldwide, primarily targeting service providers and large enterprises—Fortune 100 companies. These companies manage their networks like small service providers, combining private networks with public infrastructure. Our focus has been on correlating the data we ingest—metrics, logs, events, and alerts—so users don’t have to sift through multiple dashboards. By correlating this data, we help eliminate the need for human interaction in the troubleshooting process, reducing the time needed to identify and resolve issues. Today’s presentation will focus on accessing this data using natural language, providing insights across the organization to various teams, such as operations and engineering.
Debashis: In terms of customer segments, we’ve focused on service providers and large enterprises. In retail, we monitor the health of sites, properties, and applications, and their dependence on the underlying network. For service providers, we focus on the routing stack, monitoring routes, latency, packet loss, and root causes at both the routing and device layers. We’ve also targeted media distribution and IPTV, ensuring video quality and pinpointing any degradation issues. Recently, we’ve added a focus on colocation services, monitoring the health of infrastructure housed in these locations and determining how it affects network and application performance.
Debashis: Our success over the past year is due to three key factors. First, we provide a complete managed service, handling installation, deployment, data ingestion, and insights for our customers. This end-to-end service approach has been crucial for adoption. Second, our tech stack allows us to collect various types of data, enabling us to correlate and derive insights across different data types—configurations, events, alerts, metrics, and logs. Finally, the programmability of our platform, at the ingestion, ITSM integration, and data normalization layers, allows us to tailor the platform to each customer’s unique needs. These three elements—the managed service, data flexibility, and programmability—are why we’ve been successful in our deployments.
Nitin: To add to that, the managed service aspect is something we emphasize. My co-founder Kannan and I joke that while I focus on product innovation, he innovates on the business side. This collaboration has led us to provide observability as a managed service, where we work closely with customers to meet their exact needs. There’s no additional cost for professional services—everything is included. This approach has been successful, with 50 deployments across different customer segments.