klu-ai-public-beta

klu-ai-public-beta

Klu is a collaborative platform to design, deploy, evaluate, and monitor LLM-powered applications, providing shared prompt tooling, evaluation workflows, observability, and enterprise controls for teams building production AI.

klu-ai-public-beta is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium Enterprise
#524 in AI Agents (524 tools)
Just launched
Data reviewed Aug 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from Free (forever)

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klu-ai-public-beta

Klu is a collaborative LLM application platform that helps teams move from prompt drafts to production by combining prompt design, shared evaluation workflows, and observability. It provides a Studio for prompt design and versioning, Evaluate workflows for measurable quality, and Observe for tracking performance, cost, and drift across models and apps. Klu targets product, engineering, and research teams building production LLM apps and offers enterprise deployment options, governance controls, and dedicated support for regulated or mission-critical workloads.

All-in-one LLM App Platform for building, deploying, and optimizing Generative AI apps.

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Key Features

Studio for collaborative prompt design

Shared workspace for designing, iterating, and versioning prompts with built-in evaluation workflows to move from drafts to production.

Observability across models and apps

Track performance, cost, and drift in one place while linking experiments to production data and dashboards.

Shared experiments & evaluations

Create and reuse evaluation sets and experiments to align stakeholders and speed up iteration cycles.

Enterprise private infrastructure

Options to run Klu in a VPC with isolated data planes, private cloud deployment options, and custom deployment controls.

Governance and audit

Permissioned workspaces, audit trails, evaluation policies, and SSO for compliance and team control.

Model and tool integrations

Connect multiple model providers and tools in a single workspace to compare models and manage costs.

Monitoring across prompts, chats, and workflows

24/7 monitoring for prompts, chats, and workflows with production-focused uptime and alerts.

Dedicated support for enterprise

Partner with Klu engineers for launch, monitoring, and scaling of mission-critical LLM applications.

Pricing

Free Tier Available

Starter: Free forever — prompt workspace with versioning, shared evaluation sets, and community support.

Starter

Free (forever)
  • Prompt workspace with versioning
  • Shared evaluation sets
  • Community support

Team

$99 per seat
  • Collaboration and approvals
  • Observability dashboards
  • Usage-based evaluations

Enterprise

Custom / Contact sales
  • Private cloud deployment
  • Advanced governance and SSO
  • Dedicated success team

Use Cases

Prompt engineering and iteration

Design, version, and evaluate prompts collaboratively in Studio to accelerate development of LLM behaviors.

Model comparison and evaluation

Compare outputs across OpenAI, Anthropic, Google and other providers using shared evaluation sets and metrics.

Production observability and drift detection

Monitor performance, cost, and drift for deployed LLMs and tie experiments directly to production performance.

Regulated or private deployments

Deploy in private infrastructure (VPC/private cloud) with governance, audit trails, and enterprise SSO for compliance.

Integrations

OpenAI

Connect OpenAI as a model provider within a single workspace.

Anthropic

Connect Anthropic models to run experiments and evaluations.

Google

Connect Google model providers alongside other providers for comparison.

Other providers and tools

50+ model and tool integrations across major providers to compare models, track costs, and integrate workflows.

Benefits

Faster iteration cycles with shared evaluation sets (marketing claim: 3x faster iteration cycles).
Unified view to compare models and track costs across providers (50+ model and tool integrations).
Enterprise controls for private deployments, governance, and auditability.
Production-grade monitoring and reliability (marketing claim: 99.9% uptime and 24/7 monitoring).
Aligns product, engineering, and research with shared prompts, versioning, and evaluations.

Limitations

No verified limitations are available.

Frequently Asked Questions

Does Klu work with multiple model providers?
Yes. Connect OpenAI, Anthropic, Google, and other providers in a single workspace.
How does evaluation compare to manual reviews?
Combine automated metrics with human feedback to measure quality without sacrificing speed.
Can we self host Klu?
Enterprise plans include private deployments and VPC options.
Where should we start?
Start in Studio to design prompts, then connect Observe to track performance in production.

Getting Started

  1. 1 Step 1: Start with the Starter (free) plan to explore Studio and prompt workflows.
  2. 2 Step 2: Connect model providers (OpenAI, Anthropic, Google, etc.) in your workspace.
  3. 3 Step 3: Create evaluation sets and experiments in Studio, then connect Observe to track production performance.

Support

sales

"Talk to sales" contact for Enterprise inquiries and custom deployments.

docs

"Explore docs" link on the site for product documentation and guides.

community

Community support available for Starter plan users.

dedicated success

Dedicated support and partner engagement for Enterprise customers (Dedicated success team).

API

Available: No

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