Everest

What do they actually do

Everest makes an AI layer for Managed Service Providers (MSPs) that plugs into existing PSA/RMM tools to clean up and route tickets. Today it ships two tiers: a free AI Triage that runs inside the PSA to classify/prioritize tickets, enrich titles, and auto-fill fields (self-serve setup in ~30 minutes; free for triage) (trial page).

A paid, sales-managed “AI Technician” adds dispatch, customer updates, context gathering from RMM/docs, step-by-step remediation plans with citations, and execution of routine fixes under human approval. The site lists integrations with common PSA/RMMs, and calls out SOC 2 and a 99.9% uptime SLA with white‑glove onboarding in roughly 1–2 weeks (homepage, trial page, YC profile).

Who are their target customer(s)

• Dispatchers at MSPs: Spend hours re-writing and classifying poorly described tickets to enable routing. Want cleaner queues and faster assignment without adopting a new UI (trial page).
• Level 1/2 technicians: Receive repetitive, context-poor tickets and must hunt for device history and playbooks before acting. Need in-ticket context and proposed steps ready for approval (homepage).
• Service delivery managers / directors of service delivery: Struggle with inconsistent processes, unclear audit trails, and noisy metrics that hinder SLA attainment and staffing forecasts. Need dashboards, audit logs, and data cleanup to enforce repeatability (homepage).
• MSP owners / CTOs: Operate with labor-heavy, low margins and need higher-margin, productized services. Want to package and resell AI-supported operations to customers (YC profile, homepage).
• PSA/RMM administrators: Wrestle with messy data, many integrations, and lengthy onboarding projects. Prefer a solution that runs inside existing tools, integrates widely, and offers SOC 2/SLA-backed, fast onboarding (homepage, trial page).

How would they acquire their first 10, 50, and 100 customers

• First 10: Drive self-serve installs of the free triage inside PSAs, then convert active users into short, white‑glove pilots of the paid AI Technician to validate dispatch/resolve in production (trial page, homepage).
• First 50: Run targeted outbound to service-delivery leaders and MSP owners and secure a few PSA/RMM or distributor partner pilots; use early case studies, a 7–14 day onboarding offer, and discounted first‑month managed deployment to reduce friction (homepage, trial page).
• First 100: Scale PLG and reseller channels via marketplace listings, standardized onboarding playbooks, and a resell‑ready “AI Technician” bundle to shift from bespoke demos to repeatable packages (trial page, YC profile).

What is the rough total addressable market

Top-down context:

Managed services / outsourced IT is roughly a $297B–$300B market in 2024–2025, which aligns with Everest’s framing of its target opportunity (Fortune Business Insights, YC profile).

Bottom-up calculation:

Industry commentary estimates ~150k–200k MSPs globally. If the average MSP generates ~$1.5M–$2.0M revenue and 15%–25% is tied to help-desk/ticket labor and related software, the SAM for ticketing/automation is roughly $34B–$74B annually (297B ÷ 150k–200k → ~$1.5M–$2.0M per MSP; apply 15%–25%) (MSPAlliance, Fortune Business Insights).

Assumptions:

• There are ~150k–200k MSPs globally (MSPAlliance).
• 15%–25% of MSP revenue is attributable to help‑desk/ticket operations and related software (scenario assumption).
• Everest can distribute via major PSA/RMM ecosystems with large MSP footprints (ChannelE2E/Canalys).

Who are some of their notable competitors

• Moveworks: Enterprise IT assistant for internal IT (deep ServiceNow/Slack/Teams). Overlaps on triage and auto‑resolution but is built for in‑house IT rather than MSP multi‑tenant operations (product, ServiceNow integration).
• Aisera: AI service desk that auto‑classifies, resolves, and assists agents across IT/HR/CS. Feature overlap with triage and remediation, but it’s a general enterprise platform vs. MSP‑centric add‑in (AI service desk, triage writeup).
• ServiceNow (Virtual Agent, Predictive Intelligence, Now Assist): Dominant ITSM platform with built‑in classification, virtual agents, and AI recommendations; often used to solve similar triage/agent‑assist needs but is a full ITSM stack, not a lightweight MSP PSA add‑on (Predictive Intelligence, Virtual Agent).
• Resolve Systems: Automation/orchestration for incident response and service desk with validated remediation playbooks; overlaps on automated resolution under oversight but skews to ops/NOC automation at scale (overview, service desk automation).
• Freshservice (Freddy AI): ITSM/PSA for SMB–mid‑market with auto‑triage and agent copilot. Functionally similar on triage, but it’s a full ITSM alternative whereas Everest plugs into existing MSP PSAs (Freddy AI, auto‑triage docs).