Qualifire

Continuous evaluation, real time guardrails and pre production agentic testing. Made for agents, RAG and chatbots

Qualifire gives teams shipping LLM applications a control plane for reliability: continuous evaluation, real-time guardrails, and pre-production testing for agents, RAG pipelines, and chatbots. Its guardrails protect an application in real time while taking context into account, and evaluations, observability, real-time policy enforcement, prompt management, and data curation sit in the same platform.

Rather than relying on large general models to judge outputs, Qualifire provides small judge models tailored to your domain and policies, which it says keeps latency and cost low. A separate product, Rogue, red-teams and evaluates agents to surface security and reliability flaws and is available on GitHub. The company references ISO 42001, publishes documentation, links to Hugging Face, and offers a playground. For anyone building in the chatbots and assistants category, it addresses whether your bot does what you intended.

Getting started runs through the team: the site asks you to book a demo or contact them, and a pricing page is linked without details shown here, so the model is not confirmed. Try the playground or book a meeting to see the judges on your own traffic.

Category: Chatbots & Assistants. Pricing: freemium. Visit website

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