Auger Raised $50M to Sit On Top of the Software AI Is Supposed to Kill
Dave Clark isn't replacing your ERP. He's betting you'll never rip it out.
While half of Silicon Valley spent the spring worried that frontier models would eat enterprise software, Dave Clark raised $50 million for exactly the kind of enterprise software those models are supposed to replace.
Auger, the Bellevue supply-chain startup Clark founded in 2024, closed a $50 million Series B led by Eclipse, with existing backer Oak HC/FT in again. That brings total funding to $150 million in under two years, for a company of about 130 people. Clark isn’t a typical founder. He spent 23 years at Amazon, most recently running its worldwide consumer business, then a stint as CEO of Flexport. Customers already include Meta’s Reality Labs, Fanatics, and Kimberly-Clark. At Fanatics, Clark says roughly 85% of supply-chain decisions now run automatically through Auger.
Here’s what it actually does. Auger doesn’t try to be your system of record. It sits on top of the ERP, warehouse, transportation, and planning systems you already run, unifies the data, and turns AI agents loose to make the thousands of small operational calls on their own. Clark also raised early, before he needed the money, to avoid fundraising during a busy fall of onboarding, at a valuation he says is roughly double the Series A. For context, PitchBook and the NVCA pegged first-half 2026 venture activity at $412.7 billion, with 86% going to AI. Raising into that tape was a choice, not a necessity.
The mental model here is Path Dependence. Once a company builds its operations around SAP or Oracle, it’s stuck, and not because the software is beloved. It’s because everything else, every process, integration, and trained employee, is wired to it. Ripping it out means re-wiring the whole company. That’s path dependence, and it’s why “we’ll replace your ERP” has killed more startups than it’s built. Clark learned that lesson at Amazon scale, so Auger doesn’t fight the lock-in. It rides on top of it. The old system stays. Auger just makes the decisions the old system never could.
Here’s my take. The loud AI bet right now is replacement: rip out the legacy thing, drop in an agent. The quiet, better bet is the layer on top: assume the incumbent system is immovable and sell the thing that acts on it. Replacement founders burn years fighting switching costs. Clark is using those switching costs as a moat, because the same lock-in that keeps SAP in place will keep Auger in place once it’s the one making the calls. The unglamorous truth of enterprise AI is that the winners won’t be the ones promising to burn down the old stack. They’ll be the ones who make peace with it and quietly take the wheel.
Next week on Startup Spotlight
Every company above made noise this week. Next Wednesday’s paid deep-dive goes the other direction: the biggest AI infrastructure bet of the moment might be the one that never touches the cloud. I’m breaking down the on-prem AI shift, who’s quietly winning it, and why “private by default” is about to matter far more than it sounds. Paid subscribers get the full teardown.
——————————————————————————————————————
If this was useful, share it with someone who builds things. And if you want the full toolkit of 50 mental models, you can grab my book, Mental Models: How to Think, Act, and Win, right now.
——————————————————————————————————————
Next week’s deep-dive:
Next Wednesday’s paid deep-dive goes the other direction: the biggest AI infrastructure bet of the moment might be the one that never touches the cloud. I’m breaking down the on-prem AI shift, who’s quietly winning it, and why “private by default” is about to matter far more than it sounds. Paid subscribers get the full teardown.
——————————————————————————————————————