eGain Corporation
- Market Cap (Float-Adj) (Float-adjusted market cap computed by the low-float screener — matches the screener row. May differ from the standard cap (price × all shares outstanding) reported elsewhere.)
- $137.2M
- Price
- $5.24
- % Change (Daily % change from the live per-ticker quote feed.)
- -0.95%
- Volume
- 265.2K
About
eGain Corporation engages in the development, license, implementation, and support of its customer service infrastructure software solutions in North America, Europe, the Middle East, Africa, and the Asia Pacific. It provides eGain AI Agent, which helps businesses to deploy enterprise-grade agentic solutions built on knowledge and guided actions; eGain AI Knowledge Hub to centralize knowledge, policies, procedures, situations, and best-practices, as well as guided and personalized answers to customers, agents, and field staff; and eGain Conversation Hub for scalable capabilities of digital-first interaction management within a modern, omnichannel desktop. The company also offers a cloud-based platform through subscription basis; professional services, such as consulting and implementation services, training services, and managed services. It serves customers in various industry sectors, financial services, the public sector, healthcare, telecommunications, and other highly regulated industries. The company was incorporated in 1997 and is headquartered in Sunnyvale, California.
Quick stats
Shares outstanding26.2M
Computed float16.5M
Float / shares62.9%
Key info
SectorTechnology
IndustrySoftware - Application
CIK (Central Index Key — the unique ID the SEC assigns to every filer. Use it to look up the company's filings on EDGAR.)0001066194
Websitehttps://www.egain.com
AI Summary
AI-generated1/40
minorneutralother
Why AI Bills Keep Exploding and AI Chatbots Keep Stalling: eGain Says It’s the Same Problem
eGain published two whitepapers timed to The AI Conference arguing that runaway AI token costs and stalled customer-facing AI chatbots share one root cause: companies never organized the information their AI depends on.
The first paper contends most AI spend is wasted re-reading unstructured documents and doing rule-based work; the second argues 95%-accurate bots fail in production because no human catches the wrong 5%.
eGain positions its knowledge-management platform as the fix and notes it prices many contracts on results rather than usage. This is promotional content, not a financial disclosure.