
Auger raised $50M to unify supply chain systems. Meta and Fanatics are early users; Kimberly-Clark also deployed the AI-native platform.
Auger raised $50 million in a Series B round for its autonomous operating system that manages supply chain operations, founder and CEO Dave Clark said Thursday on LinkedIn.
Eclipse led the round. The venture firm said in a separate LinkedIn post that Auger's platform is already deployed by Meta and Fanatics, and that Kimberly-Clark also uses it to move from reactive planning to intelligent execution.
Clark spent 23 years at Amazon, most recently as CEO of the global consumer business, where he managed a team of 1.5 million people and oversaw more than $600 billion in gross merchandise sales. He was also a member of Amazon's S-team for over a decade.
When he founded Auger in 2024, Clark argued that most companies run supply chains on a tangle of disconnected systems, which he described as "Franken-software." A typical company might have eight to 20 different tools for procurement, forecasting and enterprise resource planning, he told CNBC at the time. He envisioned a single platform that offers the same simplicity as consumer apps.
For Kimberly-Clark, a consumer staples company with an Alpha Score of 44, the platform could help integrate supply chain systems that have historically been slow to adopt new technology. The mixed score reflects a business with stable cash flows but limited near-term catalysts for operational transformation.
The broader supply chain software market is dominated by legacy enterprise resource planning vendors and specialized planning platforms. Auger's approach targets the fragmentation head-on, offering an AI-native layer that sits above existing systems and orchestrates decisions across procurement, logistics and inventory.
Clark said the new capital will go toward building the products customers are asking for and expanding the sales and solutions engineering teams that work alongside large enterprises. Eclipse said it expects "category-defining AI companies" to run factories and logistics networks, not just generate content or analyze data.
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