Shared prompt workspace
Build, iterate, and version prompts in a shared workspace so product, engineering, and research teams can work from the same source of truth.
Klu
ReclamarKlu is a platform for teams building LLM apps to design prompts, run evaluations, and monitor production behavior in one workflow. It supports collaborative prompt work, observability, and enterprise deployment options.
Overview
Klu is a platform for teams building LLM apps to design prompts, run evaluations, and monitor production behavior in one workflow. The homepage describes it as a way to collaborate on prompts, evaluate results, and ship reliable AI experiences with shared tooling that keeps teams aligned.
The product is organized around two main surfaces: Studio for collaborative prompt design and Observe for production observability. Klu also supports enterprise deployments with private infrastructure, governance controls, and dedicated support for teams that need tighter operational control.
Features
Prompt evaluation workflows
Use built-in evaluation workflows and shared evaluation sets to compare prompt changes before shipping them.
Production observability
Track performance, cost, and drift in one place, and keep experiments linked to production data for easier diagnosis.
Model comparison and quality tracking
Compare models and review quality changes over time while connecting prompt work to observed production behavior.
Enterprise deployment controls
Use private infrastructure, governance controls, and permissioned workspaces for regulated or enterprise deployments.
Support and success plans
Get support options that range from community help to priority support and a dedicated success team on enterprise plans.
Use Cases
Collaborative prompt development
Teams can draft prompts, iterate on versions, and run shared evaluation sets before a release so changes are reviewed against the same criteria.
Production monitoring and diagnosis
Organizations can compare quality, cost, and drift across models and prompts while keeping the experiment linked to what is running in production.
Enterprise AI operations
Regulated or larger teams can use private cloud deployment, governance controls, and permissioned workspaces to fit internal operating requirements.
Structured optimization workflows
Product and AI teams can use the platform to move from manual prompt review toward repeatable evaluation workflows and shared decision-making.
End-to-end evaluation to observability
Teams evaluating vendors can start with Studio for prompt work and extend into Observe when they need production visibility.
Pros and Cons
Pros
- Combines prompt design, evaluation, and observability in one platform.
- Supports collaboration with shared prompts, versioning, evaluations, and approvals.
- Connects multiple model providers in a single workspace.
- Offers enterprise options for private deployments, governance, and SSO.
- Includes a free Starter plan and clear upgrade paths for growing teams.
Cons
- The public sources do not provide a full integration list or deep provider-by-provider coverage.
- Feature details for Studio and Observe are high level in the available pages, so buyers may need a demo to confirm fit.
FAQ
Does Klu have a free plan or paid plans?
Yes. The pricing page says Klu offers a Starter plan for individual experimentation, a Team plan for collaborative LLM app work, and an Enterprise plan for regulated teams and private deployments.
Can I change plans later?
Klu’s pricing page says teams can upgrade or downgrade any time from workspace settings, so plan changes are supported after signup.
Where should a team start?
The homepage says to start in Studio to design prompts, then connect Observe to track performance in production.
What does the Enterprise plan include?
The pricing page says enterprise plans can include a private cloud deployment, SSO and governance, dedicated success support, and custom integrations.
Which model providers does Klu support?
The homepage states that Klu can connect multiple model providers in one workspace, including OpenAI, Anthropic, Google, and others.
Quick Facts
- Category
- LLM app platform
- Primary users
- Product, engineering, and AI teams
- Core workflow
- Design in Studio, then monitor in Observe
- Model providers
- OpenAI, Anthropic, Google, and others
- Pricing
- Free Starter, Team, and custom Enterprise plans
- Website
- klu.ai