Everest AI Aims to Boost MSP Margins to 70-80% with AI Support Engineers

San Francisco, CA – Everest AI, a startup from Y Combinator's Fall 2025 batch, is gaining significant industry attention for its innovative approach to transforming outsourced IT services. Prominent tech investor Gokul Rajaram recently lauded the company, co-founded by Yolanda Cao, for its ability to address a critical industry pain point with a powerful and value-driven solution. Everest AI focuses on developing AI support engineers designed to drastically improve efficiency and profitability for Managed Service Providers (MSPs).

The company's core offering directly tackles the persistent challenge of low margins, typically ranging from 10-20%, within the $300 billion outsourced IT support industry. Everest AI's "AI support engineers" are engineered to resolve support tickets autonomously, aiming to elevate MSP margins to an impressive 70-80%. This technological leap seeks to introduce software-like profitability into a service-heavy sector.

Co-founder Yolanda Cao, an alumna of Netflix, Twitter, and DoorDash, brings extensive experience in support engineering and operational efficiency. Alongside co-founder Spencer McKee, Everest AI was established in 2025 and quickly secured a spot in Y Combinator's competitive Fall 2025 cohort. Their mission is to scale the automation capabilities seen in large tech companies like Netflix to over 140,000 businesses globally.

Gokul Rajaram, a respected figure in the tech community, expressed strong approval for the company's progress. In a recent social media post, he stated, "> @yolandaaacao and the Everest AI team have built a product that solves a burning pain point in a powerful way with a compelling wedge. Most importantly, they are proving real business value in a tangible way. Two thumbs up!" This endorsement highlights the perceived effectiveness and tangible impact of Everest AI's solution.

Everest AI aims to make IT support proactive rather than reactive, leveraging state-of-the-art AI agents to handle complex networking, cloud infrastructure, and security issues with high reliability. The company's participation in Y Combinator's AI-focused Fall 2025 batch underscores the accelerator's strategic emphasis on AI-native solutions that promise to redefine traditional business structures and drive systemic change within industries.