CleeAI

A control layer above your LLMs for cost, accuracy and governance

Advanced
Screenshot of CleeAI, A control layer above your LLMs for cost, accuracy and governance

What is CleeAI?

CleeAI is a legal tool. CleeAI LKM is an infrastructure layer that sits above an enterprise LLM stack to route queries by cost, verify answers against confirmed sources and enforce governance with audit trails. It is in early access for regulated industries.

CleeAI positions its LKM, short for Large Knowledge Model, as a control layer that sits between an organisation's applications and the foundation models behind them, such as GPT, Claude or Gemini. Rather than replacing those models, it intercepts each query and applies three kinds of enforcement before an answer reaches production: cost routing, factual verification and governance. The pitch is that models will keep changing while the layer that controls them stays put. In practice, routing sends a request to a suitable model instead of defaulting everything to the most expensive one, and verification runs only where it is needed. For accuracy, the layer checks questions against confirmed sources and says so when evidence is absent, which the site illustrates with clinical trial summaries, financial metrics and analyst reports that may not exist. For governance, it intercepts risky requests, such as attempts to extract AML monitoring logic, before the model sees them, keeps an audit trail on every query, and applies AML and KYC rules as written so decisions stay consistent. The audience is enterprise teams in regulated sectors, including banking, financial research and pharma, where a fabricated answer or leaked proprietary data becomes a compliance event. The product is in early access, with a small number of teams onboarded individually through a waitlist, so evaluation means working with CleeAI staff on a specific use case instead of signing up and testing alone. Among alternatives, it overlaps with LLM gateways, guardrail tools and model routers, but bundles routing, verification and policy enforcement into one layer. The homepage lists plan tiers, though their feature lists read like placeholder text, so buyers should confirm scope and pricing directly with the company.

How do you use CleeAI?

  1. 1Review the use cases
    Read the five scenarios on the homepage to see which failure mode matches your team, such as hallucinated studies, invented metrics or AML rule drift.
    CleeAI — Review the use cases
  2. 2Join the early access waitlist
    Fill in the form with your name, business email and company name. Teams are selected individually, so expect a follow-up rather than instant access.
  3. 3Contact the sales team
    Use the contact page to discuss plan options and describe your deployment, models and compliance environment.
    CleeAI — Contact the sales team
  4. 4Map your use case with the team
    Work with CleeAI to define your data, models and policies so performance can be assessed against your own compliance setting before committing.
  5. 5Place the layer between app and model
    Once onboarded, the layer sits between your application and your chosen foundation model, enforcing cost, correctness and governance rules on each query.

Pros and cons

Pros

  • Works above any foundation model, so GPT, Claude or Gemini can be swapped without rebuilding the control layerAI
  • Combines cost routing, answer verification and governance in a single layer instead of separate toolsAI
  • Aims to state when evidence is missing rather than produce a plausible but fabricated answerAI
  • Intercepts risky requests before the model sees them and keeps an audit trail on every queryAI
  • Use cases are concrete and tied to regulated work such as AML, KYC, clinical research and financial analysisAI

Cons

  • Early access only: teams are selected individually, so there is no self-serve way to try it todayAI
  • The homepage gives no technical detail on integration method, supported stacks or deployment optionsAI
  • Plan cards list HR-style features that do not match the product, so real pricing and limits are unclearAI
  • Accuracy and savings figures are market statistics, not published benchmarks of CleeAI's own resultsAI
  • Aimed at enterprise compliance buyers, which is likely heavy for small teams or hobby projectsAI

How much does CleeAI cost?

Pricing

The homepage lists a Free plan (up to 5 users), a Pro plan at $199 per month (up to 20 users) and an Enterprise plan at $399 per month (up to 50 users). The plan feature lists look like placeholder text, so confirm details with sales.

Learn more

Support

Enquiries go through a contact sales page and an early access form. No documentation or help centre is mentioned on the homepage.

Learn more

Integrations

Described as working above any foundation model, with GPT, Claude and Gemini named as examples. No specific application or tool integrations are listed.

Features

Cost routing to the right model, verification against confirmed sources, statements of absent evidence, interception of non-compliant requests before the model sees them, consistent application of AML and KYC rules, and a full audit trail on every query.

Frequently asked questions about CleeAI

  • How much does CleeAI cost?
    The homepage lists a Free plan (up to 5 users), a Pro plan at $199 per month (up to 20 users) and an Enterprise plan at $399 per month (up to 50 users). The plan feature lists look like placeholder text, so confirm details with sales.
  • How do you use CleeAI?
    The walkthrough on this page covers 5 steps: 1. Review the use cases 2. Join the early access waitlist 3. Contact the sales team 4. Map your use case with the team 5. Place the layer between app and model.
  • What platforms does CleeAI support?
    CleeAI is available on Web App.
  • What does CleeAI integrate with?
    Described as working above any foundation model, with GPT, Claude and Gemini named as examples. No specific application or tool integrations are listed.
  • What are the limitations of CleeAI?
    Early access only: teams are selected individually, so there is no self-serve way to try it today. The homepage gives no technical detail on integration method, supported stacks or deployment options. Plan cards list HR-style features that do not match the product, so real pricing and limits are unclear.

Status

StatusActive
Views0
Outbound clicks0
Added10/8/2026

Platforms

Web App

Pricing

FreemiumSubscription