Argmin is building the layer that makes enterprise AI consumption visible, so companies can stop the waste that’s quietly driving a massive environmental footprint.
Here’s the problem. Large companies are spending millions on AI every month — models running behind the scenes in their apps, tools, and workflows. Those models burn real energy in real data centers. But nobody inside these companies can actually see what’s being used, by whom, or why. They get a bill at the end of the month and no way to trace it. Research by Hugging Face and Salesforce (which our CEO Richard co-founded the AI Energy Score with) has shown that some AI models use up to 6,000× more energy than equivalent alternatives that would do the job just as well. Companies are paying for that — and the planet is paying for it — because the waste is invisible.
Argmin deploys inside a company’s own systems and traces every AI request back to the team, service, and workload that triggered it. Once you can see the waste, you can cut it. Our early analysis suggests 15–25% of enterprise AI spend is going to models that are overpowered for the job. Cutting that means lower bills, lower energy use, lower emissions.
We’re starting with the measurement and cost layer. Carbon accounting and sustainability reporting are the natural next step, built on the same foundation.