AI execution platform for enterprise operations and supply chain
Calfus builds Aetherion, an agentic AI platform designed to automate repetitive and complex operational work within enterprise systems. The tech stack reveals a deep Oracle and data engineering foundation—Oracle ERP, Transportation Management, SCM alongside Snowflake, Databricks, and Python—combined with BI tooling (Tableau, Power BI, QuickSight). Hiring is heavily weighted toward finance (10 roles) and engineering (6), with senior-level positions dominating, suggesting a mature deployment model focused on Oracle-centric environments where they're executing multi-month backlogs in weeks.
Notable leadership hires: Oracle Transportation Management Lead
Calfus, founded in 2021 and based in Pleasanton, California, operates as a private company with 51–200 employees. The company positions itself as an AI-native execution layer for enterprise operations, helping organizations deploy autonomous agents across finance, supply chain, and procurement functions. Their customer base appears concentrated in mid-to-large enterprises running Oracle ERP systems—the bulk of their stack (Oracle R12, Oracle SCM, Oracle Transportation Management, Oracle Integration Cloud) reflects this positioning. Active projects span Oracle upgrades, supply chain harmonization, tax integration, and data warehouse modernization, indicating customers managing complex, multi-system operational environments.
Calfus runs a deep Oracle stack (ERP, SCM, Transportation Management, R12, VBCS, Integration Cloud) combined with data engineering tools: Snowflake, Databricks, PostgreSQL, Redshift, Apache Airflow. BI and visualization: Tableau, Power BI, QuickSight. Languages: Python, PL/SQL, XML/XSLT.
Pleasanton, California. The company was founded in 2021 and is privately held with 51–200 employees.
Calfus Inc.'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.