Podar means to prune.
In Spanish, podar is what you do to a plant that has grown wild: you cut back what does not serve it so the rest can thrive. That is the whole thesis of the company, applied to the enterprise AI bill.
Enterprises adopted AI faster than they built any discipline around how it is consumed. Frontier-tier models get invoked for tasks a small model would have nailed for a fraction of a cent. The same answers are regenerated across teams that have no shared memory. Spend is reported in tokens, dollars, and seats — never in efficiency.
In a typical enterprise AI budget, 40 to 70 percent is recoverable without any loss of quality. That recoverable slice is Podar's entire reason to exist. We do not report on it. We remove it, and we only get paid out of what we remove.
We also think the category is missing a word. AI Yield is the share of AI spend that bought necessary work at an appropriately sized model. AI Wastage is the rest. They sum to 100 percent, and together they give finance and engineering one number they can both argue about honestly.
We orchestrate across all of them.
Gateways move traffic. We route across every major gateway at once, so no customer is locked to a single supplier.
We own the metric.
AI-FinOps tools report on spend without removing it. AI Yield is a vocabulary CFOs adopt, and a meter we run.
Alignment is the moat.
We only profit when you save. Switching away means re-accepting the waste we already deleted.
From wedge to platform.
Now → 12 mo
Routing core, semantic cache, AI Yield meter. First five paying enterprises.
12 → 24 mo
Quality regression suite, multi-gateway breadth, FinOps integrations.
24 → 36 mo
Autonomous optimization. Agentic-workload routing. Supply-path marketplace.
Stop paying for AI overspend that buys you nothing.
A free assessment reads two weeks of your AI traffic and returns your current AI Yield and the dollar value of the waste we can remove.