About Everest

Everest is an AI-native service delivery platform that augments Managed Service Provider (MSP) technicians by automating ticket context gathering and generating AI-driven resolution plans. It integrates directly into existing PSA tools, providing technicians with cited solutions to accelerate ticket closure and increase operational capacity.

<problem> Managed Service Providers (MSPs) face challenges in efficiently resolving technical support tickets, leading to increased technician research time and reduced overall capacity. This inefficiency can impact profitability and the ability to scale operations effectively. </problem> <solution> Everest provides an AI-native service delivery platform designed to augment MSP technicians. The platform automates the gathering of critical ticket and customer context, presenting it directly within existing Professional Services Automation (PSA) tools. It then generates AI-driven resolution plans, complete with citations from relevant knowledge bases and internal documentation, streamlining the diagnostic and remediation process. Technicians can review and approve proposed solutions within their familiar workflow, enabling faster ticket closure and improved operational efficiency. This approach aims to significantly reduce research time and boost technician capacity, allowing MSPs to handle a higher volume of tickets without proportional staff increases. </solution> <features> - AI-powered context aggregation that pulls relevant ticket and customer data into a unified internal note. - Automated resolution planning with citations sourced from integrated knowledge bases and documentation. - In-workflow approval mechanism for proposed solutions, directly within existing PSA tools. - Seamless integration with common PSA and Remote Monitoring and Management (RMM) platforms. - Real-time analytics dashboard displaying key performance indicators such as research time saved and capacity lift. - SOC 2 compliance for data security and operational integrity. - Automated workflows for client onboarding and ticket routing. </features> <target_audience> The primary customers are Managed Service Providers (MSPs) seeking to enhance technician efficiency, reduce ticket resolution times, and improve overall service delivery profitability. </target_audience> <revenue_model> While specific pricing details are not publicly available, the platform operates on a subscription-based model, with potential tiers based on managed endpoints or ticket volume, as indicated by typical SaaS offerings for MSPs. </revenue_model>

What does Everest do?

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Everest

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

everestmanagedai.com LinkedIn Profile

Funding

No funding information available.

Team

No team information available.

Company Description

Problem

Managed Service Providers (MSPs) face challenges in efficiently resolving technical support tickets, leading to increased technician research time and reduced overall capacity. This inefficiency can impact profitability and the ability to scale operations effectively.

Solution

Everest provides an AI-native service delivery platform designed to augment MSP technicians. The platform automates the gathering of critical ticket and customer context, presenting it directly within existing Professional Services Automation (PSA) tools. It then generates AI-driven resolution plans, complete with citations from relevant knowledge bases and internal documentation, streamlining the diagnostic and remediation process. Technicians can review and approve proposed solutions within their familiar workflow, enabling faster ticket closure and improved operational efficiency. This approach aims to significantly reduce research time and boost technician capacity, allowing MSPs to handle a higher volume of tickets without proportional staff increases.

Features

AI-powered context aggregation that pulls relevant ticket and customer data into a unified internal note.

Automated resolution planning with citations sourced from integrated knowledge bases and documentation.

In-workflow approval mechanism for proposed solutions, directly within existing PSA tools.

Seamless integration with common PSA and Remote Monitoring and Management (RMM) platforms.

Real-time analytics dashboard displaying key performance indicators such as research time saved and capacity lift.

SOC 2 compliance for data security and operational integrity.

Automated workflows for client onboarding and ticket routing.

Target Audience

The primary customers are Managed Service Providers (MSPs) seeking to enhance technician efficiency, reduce ticket resolution times, and improve overall service delivery profitability.

Revenue Model

While specific pricing details are not publicly available, the platform operates on a subscription-based model, with potential tiers based on managed endpoints or ticket volume, as indicated by typical SaaS offerings for MSPs.