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Confident AI

Free · Free trial · From $19.99/mo

Confident AI helps teams automatically test and monitor their AI applications, like chatbots and RAG pipelines, to make sure they always perform well. It helps you find and fix issues quickly, saving time and money, and ensures your AI keeps getting better.

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About Confident AI

Who It's For

This tool helps teams building AI apps, such as chatbots. Developers use it for testing. Non-technical teams can also track AI performance. It ensures your AI systems are reliable and always getting better for all users.

What You Get

You get tools to test your AI thoroughly, catch problems early, and debug parts. It provides over 40 metrics to measure quality, prompt management, and performance reports. This helps you quickly find and fix any AI issues.

How It Works

Start by installing DeepEval, an open-source tool. Choose metrics to measure your AI's quality. Add a small code snippet to your AI app. Then, run tests to generate reports. This helps you catch problems and understand how your AI is performing.

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Features & Capabilities

⚙️ Core AI Evaluation

End-to-End Evaluation

Measures the overall performance of prompts and models within your LLM pipeline.

LLM Regression Testing

Integrates unit tests into CI/CD pipelines to prevent performance degradations and breaking changes.

Component-Level Evaluation

Enables debugging and iteration with tailored metrics applied to individual LLM pipeline components.

DeepEval Integration

Provides an intuitive framework for integrating evaluation into development workflows and CI/CD.

🛠️ Platform Tools

Comprehensive Testing Reports

Generates detailed reports and analytics dashboards to visualize evaluation results for both technical and non-technical users.

Tracing Observability

Offers deep visibility into LLM operations for effective debugging and performance monitoring.

Dataset Editor

Allows for efficient curation and management of datasets used in evaluations.

Extensive LLM Metrics

Provides access to over 30 LLM-as-a-judge metrics tailored for diverse evaluation use cases.

🔒 Enterprise & Security

Compliance Certifications

Meets stringent HIPAA and SOC2 compliance standards for regulated industries.

Multi-Data Residency

Offers flexible data storage and processing options in the United States or the European Union.

Role-Based Access Control (RBAC)

Provides granular permission controls, data separation, and masking for LLM traces.

On-Premise Hosting

Supports optional deployment within the customer's cloud premises including AWS, Azure, and GCP.

Use Cases

Automating LLM Quality Assurance and Regression Prevention

AI development teams face the challenge of rapidly iterating on LLM applications while ensuring consistent quality and preventing regressions. Confident AI provides an automated evaluation suite with pre-deployment testing and CI/CD integration, enabling teams to proactively catch breaking changes, maintain high performance, and confidently deploy new models or prompts.

B2B SaaSFor: AI Developers

Real-time Observability and Performance Optimization for LLM Applications

Debugging complex LLM pipelines in development and production can be time-consuming and obscure performance bottlenecks. Confident AI offers comprehensive LLM tracing, component-level evaluation with tailored metrics, and real-time observability dashboards, allowing developers to quickly pinpoint weaknesses, debug effectively, and optimize their AI systems for better performance and reduced inference costs.

TechnologyFor: ML Engineers

Ensuring Enterprise-Grade Compliance and Security for AI Deployments

Enterprises in regulated industries struggle to deploy AI applications while adhering to stringent compliance standards like HIPAA and GDPR, protecting sensitive data, and ensuring reliable operations. Confident AI addresses this by offering enterprise features such as data residency options, PII masking in traces, robust access controls, self-hosting capabilities, and guaranteed compliance standards, enabling secure and trustworthy AI adoption.

Financial ServicesFor: Enterprise AI Teams

Accelerating Data-Driven AI Product Iteration and Decision Making

Product teams need to quickly validate new AI features, experiment with different prompts and models, and make data-backed decisions to drive product improvements. Confident AI provides an end-to-end evaluation suite, a dataset editor, and intuitive product analytic dashboards, empowering both technical and non-technical stakeholders to rapidly test, compare, and understand the impact of their AI innovations.

Product DevelopmentFor: Product Managers

Frequently asked questions

Confident AI is an end-to-end platform for teams to quality-assure their AI applications, including RAG pipelines, agentic workflows, chatbots, and core LLM models. It provides automated testing, evaluation, and observability for LLM applications.

The main features of Confident AI include automated pre-deployment AI testing with over 40 LLM-as-a-Judge metrics, annotation and generation of test datasets, real-time AI execution observability and performance tracking, LLM tracing for debugging and monitoring in production, product analytics and user stats, human-in-the-loop feedback for improvement, support for single-turn and multi-turn LLM testing, experimentation with different prompts and models, and detection of breaking changes through evaluations.

Confident AI works by allowing you to run evaluations locally or remotely. You install DeepEval, the open-source framework, and log in with your Confident AI API key. To enable tracing without rewriting code, you use the @observe decorator. Evaluations can be run either online, as data is ingested, or offline, retrospectively. Tracing is asynchronous, non-intrusive, and has zero impact on latency.

Confident AI supports all types of LLM use cases, including summarization, Text-SQL, custom support chatbots, internal RAG QAs, conversational agents, RAG pipelines, and agentic workflows.

Yes, Confident AI is enterprise-ready, offering Single Sign-On (SSO), data segregation for teams, customizable user roles and permissions, self-hosting options in your cloud premises (AWS, Azure, GCP), and compliance with major regulations like HIPAA and GDPR.

Yes, Confident AI is HIPAA compliant and can sign Business Associate Agreements (BAAs) with customers on the Premium subscription plan or above.

Confident AI is GDPR compliant and offers data processing in the United States (North Carolina) or the European Union (Frankfurt).

DeepEval is the open-source command-line framework for computing LLM evaluation metrics locally, whereas Confident AI is the cloud platform that provides a user interface for visualizing, comparing, collaborating on, and storing evaluation results over time. Confident AI further adds team, governance, and observability layers on top of DeepEval.

To get started with Confident AI, first install DeepEval by running pip install deepeval. Next, log in with your Confident AI API key using deepeval login --confident-api-key YOUR_API_KEY. Then, add the @observe decorator to your code. Finally, run evaluations and view the results in the Confident AI platform.

Confident AI offers several types of support, including email support at [email protected], community support via Discord, and enterprise support with round-the-clock dedicated assistance.

Yes, Confident AI can be deployed in your cloud premises (AWS, Azure, GCP) with tailored hands-on support.

Confident AI meets the requirements of regulated industries, including healthcare, insurance, and finance, with support for HIPAA, GDPR, and other major regulations.

Confident AI handles data privacy by allowing data to be stored and processed in the US or EU. Its flexible infrastructure enables data separation between projects, and it offers custom permissions control and masking for LLM traces. Furthermore, no data is used for training without explicit consent.

Yes, Confident AI allows you to mask Personally Identifiable Information (PII) in your traces to protect sensitive data.

Confident AI offers usage-based billing, and traffic is not made identifiable through this approach.

For more information or to ask questions, you can refer to the Confident AI Docs at https://www.confident-ai.com/docs, the DeepEval GitHub at https://github.com/confident-ai/deepeval, the Confident AI Blog at https://www.confident-ai.com/blog, or contact support at [email protected] or through the Discord community.

Tags

test automationchatbotdebuggingllm evaluationrag pipeline

Specifications

Deployment
Browser
API
Self-hosted
Target Audience
Individual
Startup
Business
Enterprise
Complexity
Developer

Pricing

Free

Per monthly

Free
  • DeepEval testing reports on Confident AI Evals in development
  • CI/CD LLM tracing
  • Prompt versioning
  • Community and documentation support
  • Limited to 1 project
  • 5 test runs per week
  • 1 week data retention

Starter

Per monthly

$19.99
  • Includes all features from the Free plan
  • Full LLM unit and regression testing suite
  • Model and prompt scorecards
  • Annotate evaluation datasets on the cloud
  • Custom metrics for any use case
  • Online evaluations
  • Human-in-the-loop feedback leaving
  • Email support
  • Starting from 1 user seat
  • Starting from 1 project
  • Starting from 20k LLM traces/month
  • Starting from 5k online evaluation metric runs/month
  • 1 month data retention

Premium

Per monthly

$79.99
  • Includes all features from the Starter plan
  • Real-time performance alerting
  • Dataset backup and revision history
  • Publicly sharable testing reports
  • No-code LLM evaluation workflows
  • Custom evaluation model
  • Dedicated support channel
  • HIPAA (Add-On)
  • Data residency in EU (or anywhere else on-demand) (Add-On)
  • API access (Add-On)
  • Starting from 1 user seat
  • Starting from 1 project
  • Starting from 75K LLM traces/month
  • Starting from 25k online evaluation metric runs/month
  • 6 months data retention

Enterprise

Per monthly

Contact sales
  • Includes all features from the Premium plan
  • Guardrails
  • Metrics and guardrails accuracy validation
  • User and permissions management
  • Dedicated On-Prem Deployment
  • SSO
  • SOC2
  • Dedicated 24x7 technical support
  • Unlimited user seats
  • Unlimited projects
  • Unlimited traces
  • Unlimited online evaluations
  • Proprietary LLM for evals
  • Customized data retention

✓ Free trial • ✓ Free plan • ✓ Plans from $19.99 / monthly • ✓ Enterprise options

Integrations

DeepEval
AWS
Azure
GCP

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