i6 operates a cloud-native fuel management platform for airlines and fuel service providers, built on GCP and AWS with Kubernetes, dbt, and Snowflake for data transformation and analytics. The tech stack reveals a data-heavy operation: they're using multiple orchestration tools (Airflow, Dagster) and data-quality frameworks (Great Expectations) to handle raw fuel data at scale. Active projects center on cloud platform strategy, legacy system migration, and customer hardware integration—suggesting they're simultaneously shipping to existing customers while modernizing their infrastructure foundation.
Notable leadership hires: Sales Director
i6 provides end-to-end fuel management technology for the aviation sector, with particular focus on airlines, fuel service providers, and suppliers. The product spans real-time fuel inventory management, into-plane refueling operations (including patented electronic refueling hardware), and fuel analytics. The company operates a cloud platform (GCP/AWS-hosted) that digitizes the fuel lifecycle and surfaces operational insights. Sales and customer success are active hiring vectors, alongside data and engineering roles focused on platform reliability and analytics delivery. The organization is currently navigating legacy system modernization alongside new cloud deployments.
i6 runs on GCP and AWS with Kubernetes (EKS), Terraform for infrastructure, and a data stack of BigQuery, Snowflake, dbt, Airflow, Dagster, and Looker for analytics. They use GitHub for version control and ArgoCD for deployment orchestration.
Active projects include cloud platform strategy and roadmap, migration of legacy systems, customer hardware installation and testing, and product onboarding and education. Delivery and customer outcomes are core focus areas.
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