CleeAI

London, UK · 11-50 employees · cleeai.com

AI has a structural problem. LLMs are powerful — but they have no concept of cost, truth, or containment. At scale, that gap isn't a product limitation. It's a liability. $73 billion in AI infrastructure cost is wasted every year. One in three AI outputs is wrong. 82% of AI tools fail financial risk and compliance standards. CleeAI built the layer that fixes this. The LKMTM (Large Knowledge Model) sits above your entire LLM stack — between every application and every model you run. It routes every query to the most cost-effective model, enforces verified accuracy, and intercepts governance risks before outputs ever reach production. The results are independently validated: → 69% reduction in inference compute costs → 88% reduction in query latency → ≥99% routing accuracy This is not another LLM. It is the infrastructure layer above them — enforcing cost efficiency, correctness, and governance at the point where enterprise AI most frequently fails. Models will change. The control layer won't.