Last updated 07-30-2026
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CleeAI
CleeAI is an enterprise knowledge layer that sits above GPT, Claude, Gemini, and other foundation models. Its Large Knowledge Model (LKM) routes each query to the right model, verifies answers against confirmed sources, and applies compliance guardrails before anything reaches production. Think governed enterprise search and verification, not another chatbot front end.
Most teams bolt guardrails onto prompts or wrap RAG around a single model. CleeAI treats cost, correctness, and governance as one infrastructure stack between your app and whichever models you already run. It routes cheaper models for simple queries, blocks plausible but unverified responses, and intercepts risky prompts before the foundation model sees them.
It targets regulated teams in banking, pharma, and financial research that need audit trails and source-backed answers. Clinical researchers checking trial citations, compliance teams running AML and KYC rules, and analysts asking for disclosed metrics are the workflows the site walks through in detail.
LKM sits between your app and GPT, Claude, or Gemini so you keep your existing model stack
Homepage cites $8.3B in avoidable AI infrastructure cost when every query hits the most expensive model
Blocks unverified responses and states when evidence is absent instead of guessing
Intercepts risky prompts before they reach the model and logs a full audit trail on every query
Covers five documented scenarios across clinical research, financial metrics, AML, KYC, and analyst reports
Early access onboarding is limited to a small number of enterprise teams selected individually
Single infrastructure layer handles model routing, verification, and governance together.
Works with GPT, Claude, and Gemini instead of locking you into one foundation model.
Documented scenarios for AML, KYC, clinical trials, and financial disclosures on the homepage.
Full audit trail on every query for teams that need explainability and compliance records.
No self-serve signup or public checkout; access is waitlist-only for selected enterprise teams.
Pricing is not published, so teams must contact sales before evaluating cost.
Product is pre-general-availability, so feature scope depends on early access onboarding.
What is CleeAI LKM?
CleeAI LKM is the Large Knowledge Model layer that sits between your applications and foundation models like GPT, Claude, and Gemini. It enforces cost routing, source verification, and compliance guardrails before outputs reach production.
How does CleeAI reduce LLM costs?
CleeAI routes each query to the most cost-effective model and applies verification only where complexity demands it. The homepage cites $8.3B in avoidable AI infrastructure cost on a $12B baseline when every query hits the most expensive model.
Which models work with CleeAI?
CleeAI works with foundation models you already use, including GPT, Claude, and Gemini. The LKM layer sits above your LLM stack rather than replacing a specific vendor model.
How do I get access to CleeAI?
CleeAI is onboarding a small number of enterprise teams through an early access waitlist. You submit the form on cleeai.com with business email and company name, and selected teams are onboarded individually.
What industries does CleeAI target?
CleeAI focuses on regulated industries where wrong answers carry liability. Its documented use cases cover clinical and pharma research, financial research, banking AML monitoring, KYC rule evaluation, and analyst report verification.
Does CleeAI publish public pricing?
CleeAI does not list self-serve pricing on its site. Enterprise teams request early access through the waitlist or contact sales, and onboarding is handled individually rather than through a checkout flow.