Track the EGAIN Corp share price and the full directors' dealings record of the company, a listed equity based in United States. Shares are listed on US US, under the supervision of SEC (Form 4). Operating in the Technology sector, EGAIN Corp has recorded 23 reports. Market capitalisation: €178.2m. The latest transaction was reported on 22 November 2024 (Cession). Among the most active insiders: SMIT ERIC. The full history is accessible without an account.
Analysts rate EGAIN Corp Buy (bullish), based on 3 analysts. Average price target: US$12.83.
Informational score on this market. Our backtest validates the signal only on 8 EU venues; elsewhere (notably US markets) insider buys historically invert or do not hold. Not a recommendation.
Transparent value + quality ranking, distinct from the insider signal.
Fundamental view, insider signal, bull and bear case, synthesis.
AI-generated analysis. Opinion, not investment advice. Not backtested. Built from public filings and financials. No price target, no buy or sell recommendation.
23 of 23 declarations
eGain Corp. (NASDAQ: EGAN) is a US-based software company focused on customer experience (CX) automation and AI-powered knowledge management. Listed on the NASDAQ market in the United States, the company is headquartered in Sunnyvale, California. Its investment case is built around a timely enterprise AI thesis: reliable AI outputs depend on trusted underlying knowledge. eGain therefore positions itself as an AI CX automation platform powered by “Trusted Knowledge,” designed to unify content silos and provide a governed single source of truth across the enterprise. ([egain.com](https://www.egain.com/)) Founded in September 1997, eGain was co-founded by Ashutosh Roy, who has served as CEO since inception, and Gunjan Sinha, another co-founder. That history matters strategically: the company has moved through multiple technology cycles, from classic knowledge management to generative AI and more agentic automation. The current product narrative shows a clear evolution toward a more composable, developer-friendly platform, including AI Knowledge Hub, AI Agent, Evaluator, Agentic Studio, and Composer. ([egain.com](https://www.egain.com/company/executive-team/?utm_source=openai)) Operationally, eGain’s portfolio spans knowledge centralization, AI-guided search, conversational responses for customers and agents, workflow orchestration, quality assurance for AI-generated answers, and tools for self-service and contact-center support. The company is especially focused on regulated or knowledge-intensive industries such as financial services, insurance, healthcare, telecommunications, manufacturing, and government. That end-market mix is important because it plays to eGain’s strengths in compliance, auditability, and answer consistency—capabilities that are increasingly valuable as enterprises deploy generative AI in production. ([egain.com](https://www.egain.com/)) Geographically, eGain operates from the United States while maintaining additional locations in the United Kingdom and India, supporting a global delivery and customer support footprint. Its customer base is described as including Global 2000 enterprises, with use cases centered on customer service, agent assistance, and internal knowledge management. ([egain.com](https://www.egain.com/company/locations/?utm_source=openai)) Recent developments underscore both product momentum and commercial relevance. During 2025 and 2026, eGain introduced or expanded solutions such as eGain Composer, AI Agent IVA, and a retail banking knowledge suite, while reporting quarterly results that highlighted growth in AI Knowledge Hub ARR and improving profitability. The company was also recognized by Gartner in the Emerging Market Quadrant for generative AI applications, supporting its positioning as a specialist vendor in enterprise AI infrastructure for customer service. ([egain.com](https://www.egain.com/company/news/press-releases/egain-unveils-egain-composer-a-modular-ai-knowledge-development-platform-to-build-trusted-ai-cx-applications/?utm_source=openai))