Spiral by UJET is an AI-powered conversational analytics platform that uses Deep AI Research to autonomously analyze 100% of customer interactions across voice, chat, email, surveys, social media, and reviews. Rather than deflecting customers with AI walls, Spiral finds the root cause of why people contact support in the first place and helps teams eliminate avoidable contacts at the source. Founded by Elena Zhizhimontova and acquired by UJET on November 18, 2025, Spiral continues as a standalone product while feeding conversational intelligence into UJET's cloud contact center platform.
Riverbed Technology is a San Francisco-based IT software company that helps large enterprises see, optimize, and troubleshoot the digital experiences their people and customers depend on. Originally famous for the SteelHead WAN-optimization appliance, Riverbed has reinvented itself around AI-powered unified observability - stitching together network, application, and end-user telemetry, then layering predictive, generative, and agentic AI on top to spot problems and increasingly fix them automatically. Founded in 2002, taken private by Thoma Bravo in 2015 and again by Vector Capital in 2023, it serves thousands of global organizations across finance, government, healthcare, retail, and beyond.
PlayerZero is a predictive software quality platform that uses agentic AI to help enterprises fix, learn from, and prevent software bugs before they reach customers. Its CodeSim technology, powered by a custom model called Sim-1, simulates how code changes will behave across large codebases without unit tests or human intervention - acting as an 'immune system' for code in an era when more than 20% of new enterprise code is AI-generated. Founded by Animesh Koratana out of Stanford's DAWN lab and based in Atlanta and San Francisco, the company raised $20M total across seed and Series A rounds in 2025.
BigPanda is an AIOps platform that uses machine learning to correlate noisy IT alerts from hundreds of monitoring tools into actionable incidents, helping enterprise operations teams detect, triage and resolve outages faster. Founded in 2012 and based in Mountain View / Redwood City, it serves large enterprises including Intel, PayPal, Workday and Gap.
Kannan Kothandaraman is the Co-Founder and CEO of Selector AI, a Santa Clara-based AIOps and network observability platform that uses large language models, knowledge graphs, and causal reasoning to help Fortune 1000 enterprises detect, diagnose, and resolve infrastructure issues faster. Before founding Selector in 2019, Kannan spent nearly two decades at Juniper Networks - rising from senior software engineer to Vice President of Product Line Management - and before that at Cisco Systems. Selector has raised $104 million in total funding, including a $32M Series B in February 2026 at a valuation of $375 million, and counts Fortune 20 companies in manufacturing and healthcare among its customers.
Selector is an AI-powered network and infrastructure observability platform founded by ex-Juniper Networks executives. It combines a network-specific large language model, knowledge graphs, and causal reasoning to ingest telemetry from across complex hybrid environments, cut alert noise, surface root cause, and reduce mean time to resolution for telecoms, cloud providers, and global enterprises.