Eclipse Leads $50M Round for Auger to Execute Supply Chains Autonomously

Auger, a startup building an autonomous operating system for supply chains, has raised $50 million in a Series B round led by Eclipse. The company announced the funding on July 9, positioning its technology as a way to collapse the gap between planning and reality that enterprises pay for in working capital and wasted time.

Auger’s platform targets what it calls the “coordination tax”—the latency that occurs when strategic plans fragment into spreadsheets and siloed functional systems. While most supply chain tools flood operators with alerts and generic AI suggestions, Auger ingests raw data streams exactly as they are: messy ERP outputs, legacy APIs, and spreadsheets. An “Augentic ontology” applies context, encodes business rules, and normalizes the information into a single source of executable truth. The result is a continuous loop where sales and operations planning (S&OP) fuses with sales and operations execution (S&OE). A demand spike isn’t just a keyword; it propagates through suppliers, production, capacity, and service with direct financial impact computed in real time.

The company was founded by a team that built one of the world’s most advanced supply chains, deploying robotics, AI, and machine learning at scale. That background informs Auger’s rejection of the industry’s typical data-cleansing phase. “The ‘Golden Record’ is a lie,” its website states, referring to the notion that companies must perfect their data before they can act on it. Auger instead accepts messy data and delivers value in weeks, its engineers doing the heavy lifting.

Eclipse’s lead investment highlights investor appetite for tools that move beyond dashboards into autonomous execution. Auger did not disclose how it will allocate the new capital, but its messaging focuses on broadening the reach of an operating system that replaces “the speed of consensus with the velocity of autonomy.” The company claims its approach can unlock billions in trapped working capital for large enterprises grappling with volatile demand and tightening supply constraints. As legacy planning cycles still take weeks while conditions shift in hours, Auger’s bet is that latency becomes an existential defect, not a cost of doing business.