Confident AI
A platform that helps enterprises evaluate, monitor, and improve the quality and safety of their large language model (LLM) applications.
Price: Premium
Description
Confident AI provides an enterprise-grade platform for ensuring the quality, safety, and reliability of large language model (LLM) applications. It offers tools for comprehensive evaluation of LLM outputs, detection of biases, hallucinations, and security vulnerabilities, and continuous monitoring of model performance in production. The platform targets MLOps teams, AI product managers, and enterprise organizations that are deploying LLMs in critical applications and require robust testing, validation, and governance.
Confident AI distinguishes itself by offering a structured approach to LLM assurance, providing actionable insights into model behavior, and enabling teams to build and deploy LLM applications with greater confidence and reduced risk.
How to Use
1.Integrate Confident AI with your LLM application or pipeline.
2.Define evaluation metrics and test cases for your LLM outputs.
3.Run evaluations to assess performance, safety, and quality (e.g., detect hallucinations, biases).
4.Review evaluation reports and gain insights into LLM behavior.
5.Continuously monitor your deployed LLMs for drift and performance degradation.
6.Use insights to fine-tune models, refine prompts, and improve application robustness.
Use Cases
LLM quality evaluationLLM safety testingBias detection in LLMsHallucination detectionPrompt injection testingLLM performance monitoringAI governance
Pros & Cons
Pros
- Specializes in evaluating and monitoring LLM quality and safety for enterprises.
- Detects critical issues like hallucinations, biases, and security vulnerabilities.
- Provides continuous monitoring for production LLM applications.
- Offers actionable insights for improving LLM performance and reliability.
- Designed for robust governance and risk mitigation in AI deployments.
Cons
- Pricing is enterprise-focused and not transparent, requiring "Contact Sales."
- Requires integration into existing complex LLM pipelines.
- May be an overkill for smaller projects or basic LLM use cases.
Pricing
Enterprise Plan:
Pricing not publicly listed; "Contact Sales" is required for custom quotes
Subscription-based, tailored for enterprise needs
Includes comprehensive evaluation suite, continuous monitoring, advanced security, dedicated support, and custom integrations
Pricing typically depends on factors like number of LLM applications, volume of evaluations, and required features
Free Trial: Demos and pilot programs are typically offered upon request for qualified organizations
Refund Policy: Subject to contract terms as pricing is enterprise-focused.
FAQs
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