Klu
Klu.ai is an all-in-one platform designed for AI teams to build, deploy, and optimize Generative AI applications. It allows users to easily design, develop, and...
Last verified:
What is Klu?
Klu is an all-in-one LLM app platform for teams building AI-powered products, with tools to design, deploy, evaluate, and optimize prompts, assistants, and workflows. It focuses on collaborative prompt engineering, rapid prototyping, and tracking how model and prompt changes affect outputs.
The platform lets teams experiment with completions, assistants, and workflows, then version and compare changes over time. It also includes feedback capture, analytics, evaluations, A/B experiments, and fine-tuning support so teams can improve quality based on real usage and labeled data.
Klu is built around a model-agnostic workflow and supports a wide set of providers, including OpenAI, Anthropic, Cohere, Google AI, Mistral, Groq, Perplexity, Together AI, AWS Bedrock, Azure AI, Cloudflare, GCP Vertex, Hugging Face, and Replicate. It also supports RAG contexts and data curation so teams can ground applications in their own documents and internal knowledge.
It is aimed at AI engineers, product teams, and organizations shipping LLM-powered features, especially those who need collaboration, observability, governed deployment, and iteration speed. The enterprise option is designed for larger teams that want private cloud deployment, roles and permissions, reporting, and compliance features.
Klu pricing
Pricing model: Freemium
Klu offers a Pro plan at $30/month with 300 daily runs, 1k RAG documents, 3 projects with RAG context, feedback capture, standard support, multiple model providers, AI feedback, evaluations, fine-tuning, analytics, and free GPT-4 Turbo. The Scale plan is $997/month and increases usage to 10k monthly runs, 100k RAG documents, 9 projects with RAG context, team collaboration, A/B experiments, change versioning, deploy environments, and additional provider support. An enterprise Scale plan is available by contacting sales, with 100k+ monthly runs, unlimited projects and RAG, AI dataset curation, reporting, roles and permissions, private cloud, dedicated success team, SOC2 compliance, and free GPT-4 Turbo. The website also says all plans include free GPT-4 Turbo runs for prototyping and evaluations, and there is a free trial for a first AI app and actions.
Klu pros
- Collaborative prompt engineering
- Prompt versioning
- Prototype completions
- Build assistants and workflows
- Automatic evaluation of changes
- Feedback capture from users
- Usage and performance analytics
- RAG document support
- Fine-tuning workflows
- A/B experiments
- Deploy environments
- Change versioning
- Wide model provider support
- Team collaboration tools
- Private cloud enterprise option
- Roles and permissions for governance
- SOC2 compliance on enterprise plan
- Free GPT-4 Turbo runs for prototyping
- Supports AI dataset curation
Klu cons
- Pricing beyond entry plan is not fully transparent
- Scale plan requires sales contact
- Enterprise plan requires request demo
- Free plan is limited to first AI app and actions
- Free plan appears geared to research and testing
- Daily run limits on Pro plan
- RAG document limits on lower tiers
- Fewer projects on lower tiers
- Advanced governance is enterprise-only
- Private cloud is enterprise-only
- Some integrations only appear on higher tiers
- No clear public monthly limits for all features
Frequently asked questions about Klu
What is Klu used for?
Klu is used to build, test, deploy, and improve LLM-powered applications and features. The platform is centered on collaborative prompt engineering, evaluation, analytics, fine-tuning, and production iteration for AI teams.
Who is Klu for?
Klu is aimed at AI engineers, product teams, and companies building generative AI features. It is especially useful for teams that need shared workflows, prompt versioning, performance tracking, and controlled deployment.
Does Klu support multiple model providers?
Yes. The website lists support for OpenAI, Anthropic, Cohere, Google AI, Groq, Mistral, Perplexity, Together AI, AI21, AWS Bedrock, Azure AI, Cloudflare, GCP Vertex, Hugging Face, and Replicate.
Does Klu support RAG workflows?
Yes. Klu includes RAG document support and project contexts, letting teams connect documents and other context to apps so they can ground model outputs in their own data.
Can I collaborate with my team in Klu?
Yes. Collaboration is a core part of the platform, including shared prompt work, team workflows, and higher-tier collaboration features such as team collaboration, roles and permissions, and reporting.
What analytics and evaluation features does Klu include?
Klu includes analytics, automatic evaluation of prompt and model changes, AI feedback, usage and system performance insights, and A/B experiments on higher plans. It is designed to help teams compare changes and improve outputs over time.
Does Klu support fine-tuning?
Yes. The website says Klu supports fine-tuning, and it also emphasizes curating your best data for fine-tuning custom models. This is part of its broader workflow for improving applications with user feedback and labeled data.
What is included in the Pro plan?
The Pro plan is $30/month and includes 300 daily runs, 1k RAG documents, 3 projects with RAG context, capture user feedback, standard support, multiple model providers, AI feedback, evaluations, fine-tuning, analytics, and free GPT-4 Turbo runs.
What is included in the Scale plan?
The Scale plan is $997/month and increases capacity to 10k monthly runs and 100k RAG documents. It also adds 9 projects with RAG context, team collaboration, A/B experiments, change versioning, deploy environments, and broader provider support.
What does the enterprise option add?
The enterprise option is a contact-sales plan with 100k+ monthly runs, unlimited projects and RAG, AI dataset curation, reporting, roles and permissions, private cloud, a dedicated success team, SOC2 compliance, and free GPT-4 Turbo.