Confident AI
confident-ai.com
Automate AI testing and ensure your AI apps always work well.
Description
Where AI Quality is Standardized.Not Improvised. · Confident AI is the AI quality platform for enterprise teams to standardize AI evals and observability across the org — one consistent bar for how every team measures and monitors their AI. · One eval standard. Enforced across every team. · Where product, QA, and engineering align. · For AI that has to be safe. Not just useful. · Built for every step of the AI lifecycle.
Confident AI allows companies of all sizes to benchmark, safeguard, and improve LLM applications, with best-in-class metrics and guardrails powered by DeepEval.
Features
Evaluation dataset curation
LLM system unit testing
Model and prompt optimization
LLM monitoring and tracing
LLM guardrails
FAQ
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 support@confident-ai.com, 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.
Specs
| Type | Agent |
| Section | Infrastructure & MLOps |
| Pricing | paid (от $19.99/mo) |
| Platform | Command line |
| Systems | cli, api, web |
| Hosting | self-hosted |
| Who for | Individual |
| Complexity | developer |
| Site language | en |
| Rating | 5.00 (2 reviews) |
| Views | 116 309 |
| Launched | 2025-02-05 |
