Klu

What is Klu?

Klu is a platform for designing, deploying, and optimizing LLM applications. Developers use it to collaborate on prompts, evaluate results, and ship reliable AI experiences. It provides shared tooling that keeps teams aligned across model providers and workflows. Klu moves teams from prompt drafts to production apps with experiments, evaluations, and observability that stay in sync.

Application scenarios

• Collaborative prompt design: Teams build, iterate, and version prompts in a shared workspace with built-in evaluation workflows.
• Model comparison: Users can easily compare models, track costs, and understand why quality changes over time.
• Production monitoring: Track performance, cost, and drift across every model and app in one place.
• Enterprise AI deployment: Run Klu in a private VPC with isolated data planes and custom deployment controls for regulated teams.
• Real-time alignment: Align stakeholders on measurable quality with experiments and dashboards that update in real time.
• Cross-team collaboration: Product, engineering, and research teams share prompts, versioning, and evaluations tied directly to production performance.

Main features

• Studio for collaborative prompt design: Build, iterate, and version prompts in a shared workspace with built-in evaluation workflows.
• Observability across every model and app: Track performance, cost, and drift in one place while keeping every experiment connected to production data.
• Private infrastructure: Run Klu in your VPC with isolated data planes and custom deployment controls.
• Governance and audit: Permissioned workspaces, audit trails, and evaluation policies keep teams compliant.
• Dedicated support: Partner with Klu engineers to launch, monitor, and scale mission critical LLM apps.
• Shared evaluation sets: Faster iteration cycles with shared evaluation sets that update in real time.
• 50+ model and tool integrations: Integrate across major providers and tools.
• 24/7 monitoring: Monitor across prompts, chats, and workflows.

Target users

Klu is built for product teams, ML platform leads, and product directors shipping LLM apps at scale. It serves engineers, prompt engineers, and research teams who need shared tooling for prompt design, evaluation, and production monitoring. Enterprise teams requiring private infrastructure and governance controls also benefit.

How to use Klu?

Start by signing up for a free Starter account to explore prompt workflows with versioning and community support. Teams can then upgrade to the Team plan for collaboration, approvals, and observability dashboards. For enterprise needs, contact sales for private cloud deployment, advanced governance, and dedicated support. The platform guides users through shared experiments, evaluations, and production monitoring.

Pricing and free trial

Klu offers three pricing tiers:

• Starter: Free forever for solo builders exploring prompt workflows, includes prompt workspace with versioning, shared evaluation sets, and community support.
• Team: $99 per seat for product teams shipping LLM apps every week, includes collaboration and approvals, observability dashboards, and usage-based evaluations. A trial is available.
• Enterprise: Custom pricing for regulated teams needing private cloud deployment, advanced governance, and dedicated support.

Effect review

Klu delivers on its promise of faster iteration cycles with shared evaluation sets, as evidenced by user testimonials citing 3x faster cycles and halved evaluation time. Teams gain visibility into model performance without stitching together multiple tools, which aligns with the platform's focus on unified observability. The 99.9% uptime guarantee and 24/7 monitoring make it reliable for customer-facing AI workflows. For teams moving from experimentation to production, Klu provides a practical shared source of truth that keeps quality high and iteration fast.