Confident AI

Confident AI

A comprehensive platform for evaluating, benchmarking, and enhancing the performance of large language models (LLMs).

About Confident AI

Confident AI, developed by the creators of DeepEval, is an all-in-one platform for evaluating and optimizing large language models. It provides over 14 metrics to analyze LLM performance, manage datasets, monitor real-time results, and incorporate human feedback for continuous improvement. Compatible with the open-source DeepEval framework, Confident AI supports diverse use cases. Engineering teams leverage it for benchmarking, safeguarding, and refining LLM applications through detailed metrics and tracing capabilities. The platform simplifies dataset curation, aligns evaluation metrics, and automates testing, helping teams reduce inference costs, save development time, and effectively demonstrate AI system enhancements to stakeholders.

How to Use

Start by installing DeepEval, select relevant metrics, connect it to your LLM application, and run evaluations to generate detailed reports and trace logs for debugging.

Features

Efficient dataset management
Component-level performance evaluation
Streamlined prompt organization
Real-time LLM observability
Tracing and debugging tools
Comprehensive LLM evaluation metrics
Regression testing automation

Use Cases

Analyze and troubleshoot individual components within LLM pipelines.
Prevent regressions by integrating unit tests into CI/CD workflows.
Monitor, trace, and A/B test LLMs in production environments.
Benchmark models to optimize prompts and improve accuracy.

Best For

AI Product ManagersMachine Learning EngineersData ScientistsDevelopment TeamsLLM Application Developers

Pros

Provides real-time performance insights in production.
Includes tracing and debugging tools.
Supports multi-region data residency (US, EU).
Offers extensive evaluation metrics for LLMs.
Integrates seamlessly with the open-source DeepEval framework.
Ensures enterprise-grade security and compliance standards.
Enables end-to-end evaluation, regression testing, and component analysis.
Facilitates dataset curation and management.

Cons

Pricing varies based on usage and feature set.
May have a learning curve for new users unfamiliar with LLM evaluation.
Some advanced features are limited to higher-tier plans.

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Free

$0

Includes one project, five test runs per week, and one week of data retention.

Most Popular

Starter

Starting at $29.99 per month

Per user, includes one project, 10,000 monitored LLM responses monthly, and three months of data storage.

Premium

Starting at $79.99 per month

Per user, includes one project, 50,000 monitored responses, 50,000 online evaluation runs, and one year of data retention.

Enterprise

Custom pricing available

Unlimited projects, users, online evaluations, and up to seven years of data storage, with advanced features.

Frequently Asked Questions

Find answers to common questions about Confident AI

What is DeepEval?
DeepEval is an open-source framework designed for large language model evaluation, integrated with Confident AI.
How many evaluation metrics does Confident AI provide?
It offers over 14 metrics to comprehensively analyze LLM performance.
Does Confident AI comply with industry standards?
Yes, it meets HIPAA and SOCII compliance requirements for enterprise security.
Where can I store and process my data securely?
Data can be stored and processed either in North Carolina, US, or Frankfurt, EU, ensuring compliance with regional data regulations.