Klu

Klu is a comprehensive platform for building, deploying, and optimizing LLM applications. It provides teams with shared tooling for prompt collaboration, evaluation workflows, and production observability, enabling faster iteration cycles while maintaining quality and alignment across product, engineering, and research teams.

The platform combines prompt design capabilities with robust evaluation and monitoring features, allowing teams to move from draft prompts to production applications with confidence. Klu integrates with major model providers including OpenAI, Anthropic, Google Cloud, Azure, Cohere, and AI21.

• Studio for Collaborative Prompt Design enables teams to build, iterate, and version prompts in a shared workspace with built-in evaluation workflows, creating a single source of truth for prompt engineers.

• Observability Dashboards track performance, cost, and drift across every model and app in one place, keeping experiments connected to production data for comprehensive visibility.

• Shared Evaluation Sets allow teams to align stakeholders on measurable quality with experiments and dashboards that update in real time, cutting evaluation time significantly.

• Multi-Provider Integration supports 50+ model and tool integrations across major providers, making it easy to compare models, track costs, and understand quality changes over time.

• Enterprise Security offers private infrastructure deployment in your VPC with isolated data planes, governance controls, audit trails, and SSO for regulated teams.

• Dedicated Support provides partnership with Klu engineers to launch, monitor, and scale mission-critical LLM applications with 99.9% uptime for customer-facing AI workflows.

To get started, teams can begin in Studio to design prompts, then connect Observe to track performance in production. The platform supports both automated metrics and human feedback for quality measurement, enabling teams to ship changes quickly while maintaining confidence in results.