Zendesk is a leading customer service and experience platform that helps organizations manage and resolve customer and employee requests across every digital and voice channel. Delivered as SaaS, Zendesk brings email, chat, social messaging, phone, and self-service into a single workspace so agents have the full context they need to respond quickly and personally. Its native AI agents, Copilot assistance, and workflow automation are built on billions of CX interactions, enabling teams to deflect routine inquiries, recommend next best actions, and maintain consistent service quality as they grow.
The company was founded in Copenhagen, Denmark in 2007 by Mikkel Svane, Alexander Aghassipour, and Morten Primdahl and later relocated its headquarters to San Francisco, California. Over the years, Zendesk expanded from a simple help desk tool into a full customer service suite, adding capabilities for messaging, knowledge management, quality assurance, workforce management, and employee service. It went public in 2014 and was acquired in 2022 by a private equity consortium led by Hellman & Friedman and Permira, returning Zendesk to private ownership while continuing to invest heavily in AI and product innovation.
Zendesk’s flagship offering, now positioned as Zendesk for Customer Service and Zendesk Suite, is used by more than 100,000 companies worldwide, from digital-native startups to large global enterprises. The platform is known for its balance of out-of-the-box ease of use and deep configurability, allowing teams to start quickly and then tailor workflows, automations, and integrations as complexity increases. A large marketplace of 1,800+ apps and prebuilt connectors extends Zendesk into CRM systems, collaboration tools, telephony platforms, BI tools, and more.
In the modern CX landscape, Zendesk is considered a best-of-breed alternative to broader CRM suites, frequently evaluated against solutions like Freshdesk, Salesforce Service Cloud, ServiceNow, Intercom, and HubSpot Service Hub. Its strengths lie in omnichannel support, mature workflows, and a rapidly evolving AI stack; tradeoffs include premium pricing at scale and administrative complexity for very advanced deployments.