Aviation maintenance software with 80M+ events dataset powering 5,500+ operators
Veryon operates a cloud-based maintenance and compliance platform for aviation, built on Salesforce, AWS, and a substantial data warehouse (Snowflake, BigQuery, Redshift, Databricks). No active adopts or replacements signal engineering stability focused on consolidation. Hiring is engineering-heavy (10 of 28 roles) across US, UK, and India, with sales growth and AI workflow integration listed as active friction points—suggesting the company is balancing technical deepening with go-to-market scaling.
Veryon provides software and data services for aircraft maintenance, flight operations, and regulatory compliance across operators, maintenance repair and overhaul (MRO) providers, and OEMs. The platform integrates OEM-authorized technical publications, cloud-based maintenance workflows, and AI-driven diagnostics, all powered by an 80-million-event de-identified maintenance dataset spanning over 50 years. The customer base spans nearly 150 countries and includes 5,500 operators, 75,000 maintenance professionals, and 100+ OEMs. The company is headquartered in San Francisco and employs 201–500 people.
Veryon runs Salesforce and HubSpot for CRM, AWS and Azure for cloud infrastructure, SQL Server and Oracle for transactional databases, and Snowflake, BigQuery, Redshift, and Databricks for analytics. Frontend is React and Knockout.js; backend includes .NET Core and .NET Framework.
Active initiatives include Tracking+ implementation, Vanta platform integration for compliance, and AI-enabled workflows across functions. Sales and marketing are scaling globally, with active work on prospect qualification, campaign management, and customer success playbooks.
Veryon'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.