Loss-making accounts
Find users whose token, image, audio or agent-loop cost exceeds the revenue attached to them.
We identify the users, features, prompts and model calls that quietly turn growth into losses — then verify the saving against the next provider invoice.
Find users whose token, image, audio or agent-loop cost exceeds the revenue attached to them.
Locate routine work running on frontier models and rank substitutions by savings and quality risk.
Surface duplicate context, runaway tools, avoidable outputs, missing batching and cache misses.
We inspect provider invoices and a privacy-safe usage export. No credentials.
Each finding has a baseline, intervention, expected saving, implementation effort and verification method.
If the saving does not appear in the bill, our fee does not appear either.
We will tell you whether the evidence contains enough signal for a paid engagement.