Everest
Everest builds AI support engineers that automate IT ticket resolution for managed service providers.
Everest builds AI support engineers that automate IT ticket resolution for managed service providers.
Everest's AI Support Engineers platform automates IT support ticket resolution for managed service providers (MSPs) serving small and medium businesses. The platform is designed for multi-tenant MSP environments, where providers manage diverse client technology stacks.
The system resolves tickets through AI that understands the varied setups across different client environments, enabling faster resolution, improved margins, and broader AI adoption across the SMB market.
The outsourced IT services market is valued at approximately USD 300 billion, with 90% of small and medium businesses relying on IT service providers. These providers face significant challenges managing high ticket volumes across diverse client environments, creating a strong demand for AI-powered automation solutions.
Everest targets this gap by providing AI support engineers that can resolve tickets without requiring the single-tenant architecture of traditional IT support platforms. The company is building the infrastructure for AI distribution across the SMB market through MSPs.
Everest's competitive advantage lies in its focus on multi-tenant MSP environments, which are underserved by traditional IT support tools like Zendesk and ServiceNow that are not designed for multi-tenant operations. The company's founding team has deep technical expertise from Netflix, Microsoft, and Twitter.
With direct experience in support engineering and AI consulting for enterprise clients, Everest is positioned to address a critical gap in the IT services market by providing AI-powered automation specifically tailored for MSP workflows.
Everest's pricing strategy is designed for managed service providers serving small and medium businesses. The platform operates on a subscription model, enabling MSPs to pay based on usage or seat count rather than large upfront licensing fees.
This approach aligns with the budget constraints of MSPs while providing scalable AI automation that grows with their client base. The pricing is structured to deliver rapid ROI through reduced ticket resolution times and improved operational efficiency.
