Model routing
Every prompt is scored, then routed to the smallest model that can answer it correctly. Frontier models are reserved for the requests that actually need them.
Read more →§01Solutions
Six ways to cut the bill.
Podar removes enterprise AI waste at six distinct layers. Each one compounds with the others, and all of them are billed the same way: a percentage of the spend we verifiably remove.
Prompt optimization
Prompt optimization analyzes each request before execution and removes tokens that do not change the answer — duplicated context, dead conversation history, unused metadata, verbose boilerplate.
Read more →Semantic caching
The same question is asked over and over across teams, sessions, and applications. Semantic caching recognizes that and returns the answer you already bought.
Read more →Adaptive workflow routing
Complex requests are not one job. Podar splits them into subtasks, sends each to the model best suited to it, validates the pieces, and reassembles a single answer.
Read more →Multi-gateway fabric
Podar connects, health-checks, and routes across every major AI gateway from a single pane, so no customer ever depends on one supplier.
Read more →AI Yield analytics
Spend is reported in tokens, dollars, and seats — never in efficiency. AI Yield is the missing unit, and Podar meters it request by request.
Read more →Podar MicroModels
When Podar sees the same expensive task thousands of times a month, it distills that task into a tiny specialist model and makes it a new destination inside the router.
Read more →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.