CleeAI LKM™

CleeAI LKM™ sits above the LLM stack in enterprise AI deployments, acting as a control layer that enforces cost efficiency, correctness, and governance before outputs reach production. It aims to minimize AI waste and prevent data leakage by applying controls across the stack, with a focus on regulated industries and scalable deployments.

The architecture places the Large Knowledge Model™ between applications and AI models. It defines three layers: an application layer on top, the LKM™ in the middle, and foundation models at the bottom, allowing organizations to route queries and enforce policies before model output.

CleeAI LKM™ emphasizes cost efficiency, correctness, and governance as core capabilities, addressing issues around rising infrastructure costs, hallucinations, and regulatory obligations in enterprise AI.

The product offers a path to enterprise access through a waitlist and early access options, including different pricing plans and a focus on compliance environments, models, and policies prior to commitment.

Use cases

• Five scenarios across industries where AI failure is a regulatory event, a misdiagnosis, or a financial loss.