Building the control layer
for AI spend.
CapHound exists to help organizations make AI spend decisions before the bill arrives — built for governance, not reporting.
Why we built it
Built by an engineer who watched AI spend outrun cost discipline.
I spent 15 years across engineering disciplines. Then I watched AI spend explode across the industry with none of the rigor we would apply to any other production system.
CapHound exists because AI spend should not be a surprise, spreadsheet cleanup, or another dashboard nobody opens. It should be owned, approved, and controlled — before the bill arrives.
Amarinder Singh
Founder, CapHound
“Observability tells you what you spent. The harder question is what you should do before you spend it. That decision is the product.”
How we work
Four principles behind every decision we make.
Customer obsession
We start from the customer's problem, not the competition's roadmap. The job is to help organizations govern AI spend — everything else follows from that.
Think long term
AI spend governance is early. We build for where the discipline is going, not just the feature ask of the week.
Eagerness to invent
Controlling spend before it happens is a different problem than reporting it after. We are willing to build the parts that do not exist yet.
Professional pride
We take pride in what we ship and what it does for customers. Cost control should feel like infrastructure, not a spreadsheet.
Let's talk.
Tell us how your organization runs AI and what you need to govern. We will map CapHound to your environment and requirements.