Selector

Selector is an AI-powered network observability platform, founded in 2019 by former Juniper Networks executives Kannan Kothandaraman and Nitin Kumar. The company builds software that unifies data across network, cloud and application environments, applies machine learning to correlate and cluster it, and automates root cause analysis. Its stated purpose is to help enterprises eliminate downtime and operate complex infrastructure more efficiently.

The company's platform ingests data from any vendor, in any format, whether physical or virtual, then auto-normalizes, stores, filters, correlates and clusters it. Manual configuration is removed through machine learning and pre-integrated common data sources, while automated data engineering pipelines serve network, cloud and application operators. Insights are surfaced through a search-driven conversational interface. The company reports that the platform reduces mean time to resolution (MTTR) by 85%.

Technical work at Selector spans AI/ML analytics, data engineering pipelines, data normalization and clustering, network intelligence and conversational search-driven user experience. The platform serves enterprise networking, cloud infrastructure, application operations and telecom or enterprise infrastructure operations.

Selector states that it was built by people who have run real networks and supported real outages, and that its team understands the operational challenges enterprises face. The emphasis is on making operations teams more productive and on helping them meet operations KPIs. The company is headquartered in Santa Clara, California, with an office in Bangalore, India.