About

Klu is a platform for evaluating large language models against an organization's own workflows rather than generic public benchmarks. Teams describe their use cases, and Klu builds evaluation sets, grades model outputs, and reports which model performs best at what cost for each specific task. This solves a common problem for companies running LLMs in production: knowing whether a newly released model would improve accuracy or reduce cost on their real workloads.

The product is made by Klu, Inc., the company behind klu.ai. Klu works in three steps: a user describes their workflows in plain language, selects which model providers and models to evaluate, and supplies evaluation data either generated by Klu, imported from a data source, or sent in by the user's own agent. Klu then reruns evaluations when model providers ship new releases, so teams can see immediately whether a new frontier model beats the one they currently use. Users run models on their own API keys, with inference billed directly by the providers at list price.

Key Features

Automatic model evaluation: Klu builds benchmarks from your described workflows, grades answers, and compares frontier models on your actual tasks instead of public test sets like SWE-bench.

Release reruns: Evaluations are rerun automatically whenever model labs ship new releases, with shareable reports and email or Slack alerts on Team plans and above.

Cost and accuracy comparison: Reports show scores and cost per task side by side, so teams can see trade-offs such as a model scoring higher while costing less per task.

Flexible data sources: Evaluation sets can be generated by Klu, imported from an existing data source, or supplied programmatically by your own agent.

Bring your own API keys: Users connect their own provider API keys, and inference is billed by the labs at list price with no markup from Klu.

Security controls: Files, extracted text, and API keys are encrypted with AES-256-GCM before storage; the platform detects tampering with evaluation data, enforces workspace roles on every request, and scopes files to their own workflows.

Private cloud option: An enterprise add-on runs Klu inside the customer's own VPC and region, keeping API keys, evaluation data, and reports inside the customer's account.

Pricing & Fees

Pricing: Pro costs $50 per month with 1,000 credits and 3 tracked workflows; Team costs $200 per month with 6,000 credits (5,000 plus a 1,000 bonus) and 15 tracked workflows; Enterprise is custom-priced with volume-scaled credits, SSO, audit log, and configurable data retention.
Credit system: Credits pay for building benchmarks, grading answers, and simulating users; a benchmark build takes 12 credits per case and grading 100 answers takes about 124. Credit packs cost $10 for 600, $30 for 2,000, or $50 for 3,500.
Expert services: A Model Selection Sprint costs $1,000 one time, and an Advisory Retainer costs $1,600 per month, both including Team plan access.
Sector-specific scoring: Klu supports scoring methods tailored to domains, including pass/fail tests for engineering, field-level accuracy for document extraction, clinician rubrics for healthcare, and expert rubrics for research tasks.

Who It's For

Klu is aimed at engineering, data, and operations teams that run LLM-based workflows in production and need evidence before switching models. Typical users include ML and platform engineers scoring code review or test generation, data teams validating SQL generation, support teams optimizing ticket routing and reply drafting by cost per ticket, and legal, healthcare, or research teams that require rubric-based scoring with audit trails. It also suits CTOs and procurement teams comparing frontier model vendors on their own data, and enterprises that need private-cloud deployment for security and compliance reasons.

FAQ

What is Klu?Klu is an evaluation platform that benchmarks frontier AI models on an organization's own workflows, measuring accuracy and cost to identify the best model for each production use case.

How much does Klu cost?The Pro plan is $50 per month, Team is $200 per month, and Enterprise is custom-priced; expert advisory services are also available from $1,000. Users pay model inference separately on their own API keys at provider list price.

Does Klu offer a free plan?No free plan appears on the pricing pages reviewed; the lowest tier is the Pro plan at $50 per month.

Which models and providers can Klu evaluate?Klu evaluates current frontier models across multiple providers, and users choose which providers to track so evaluations rerun automatically when new models are released.

How does Klu handle data privacy?Klu encrypts files, extracted text, and API keys with AES-256-GCM before storage, detects tampering with evaluation data, enforces workspace role checks on every request, and offers a private cloud add-on that runs entirely inside a customer's own VPC.

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Key Features

Pricing & Fees

Who It's For

FAQ

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