Auger builds an autonomous operating system targeting supply chain operations at enterprise scale. The tech stack blends supply chain domain tools (SAP, Manhattan WMS, TMS) with AI and data infrastructure (Python, scikit-learn), while active projects span agentic market intelligence, decision systems, and data pipelines—indicating a move beyond analytics dashboards toward real-time autonomous execution. Hiring velocity is accelerating across engineering, product, and sales simultaneously, with a senior-heavy distribution, suggesting aggressive product-market fit validation and enterprise sales motion.
Auger develops an autonomous operating system designed to eliminate what they call the Coordination Tax—the manual overhead and fragmented systems that trap enterprises in slower, less efficient operations. The platform targets supply chain teams at large organizations, with a focus on collapsing the gap between operational signals and execution decisions. Built by operators with experience deploying supply chains and robotics at scale, Auger operates from Bellevue, WA, with a 51–200-person team. The company is privately held and financed.
Auger uses supply chain platforms (SAP, Manhattan WMS, TMS), Python and scikit-learn for ML, and development tools including Jira, GitHub, and Figma. The stack reflects a focus on both domain integration and AI-driven decision systems.
Active projects include AI-powered market intelligence, intelligent supply chain decision systems, data ingestion pipelines, monitoring frameworks for data quality, and a consumer-grade interface for complex workflows.
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