Veteran Benefits Guide operates a claims-guidance platform built on Salesforce (Sales Cloud, Service Cloud, Marketing Cloud) with a Node.js/React/MongoDB frontend and a growing AI integration layer. The tech stack—anchored in Salesforce's case-management and CRM capabilities, supplemented by dbt for analytics and NetSuite for financial ops—reflects a service-delivery business optimizing for case volume and process efficiency. Current hiring velocity is accelerating across engineering (AI automation), marketing, and ops, signaling a shift toward product-driven scaling rather than purely manual guidance.
Veteran Benefits Guide helps US Veterans navigate VA disability claims, founded in 2015 by a Marine Corps Veteran. The company has guided over 55,000 Veterans through the claims process, emphasizing first-time accuracy to reduce appeals and ease VA backlog pressure. Headquartered in Las Vegas with nationwide operations, VBG serves a 201–500-person workforce structured around case management, customer service, and consultation. Active projects include AI-powered workflow automation and AI assistant development, addressing internal pain points around processing high-claim volumes and operational efficiency.
VBG's primary stack includes Salesforce (Sales Cloud, Service Cloud, Marketing Cloud), MongoDB, Express, React, Node.js for the application layer, with NetSuite for financials, dbt for analytics, and AWS/Azure for infrastructure. The org is actively integrating AI into existing applications.
VBG has guided over 55,000 Veterans to successful outcomes since its 2015 founding. The company operates nationwide from a Las Vegas headquarters.
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Veteran Benefits Guide's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.