Benchmark. Safeguard. Improve LLMs with Confidence.
Based on user reviews
Rating Distribution
Ethan Wheeler
3 months ago
Confident AI’s platform helped my team move from messy Google Sheets LLM evals to an actually organized workflow. I spent about five weeks integrating their API into our CI/CD, mainly to benchmark and monitor our RAG-based chatbot. The ability to run automated component-level tests and trace outputs with DeepEval saved us a bunch of engineering hours. The batch annotation and custom metrics are flexible, though the dashboard UI (as of October 2025) still feels a little busy for non-engineers. I appreciated how quickly their support responded and iterated on issues. Honestly, compared to OpenLayer, Confident AI got us up and running much faster, but there’s still some room to improve the docs for complex multi-turn use cases. Still, if you’re looking for robust, production-ready LLM testing and don’t want to reinvent the wheel, this is a solid pick.
Albert Schaper(Artificial Intelligence, AI Tools)
Albert Schaper, an expert specializing in artificial intelligence, has reviewed Confident AI for Data Analytics and rates it 4.0/5 based on 1 user review. The tool shows particular promise for ai enthusiasts who work with artificial intelligence tools regularly.
Pricing: $0 – $39 / month(Updated November 2025)
Free forever tier (USD 0), Subscription from $10/month, Pro at $39/month, Enterprise on request, optional $395/year plan
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
Free access to Confident AI allows ai enthusiasts to experience data analytics capabilities firsthand. The free tier includes essential features that support basic workflows and experimentation. For ai enthusiasts who need more advanced data analytics functionality, the paid plans offer comprehensive solutions with enhanced performance and dedicated assistance.
Confident AI is a platform that enables teams to evaluate, benchmark, optimize, and monitor large language model (LLM) applications using robust, customizable metrics and guardrails. Powered by the open-source DeepEval framework, it supports collaborative LLM testing, automated result tracing, and comprehensive dataset curation to ensure reliable and production-grade AI systems.
Understanding the core functionality and approach of Confident AI.
Confident AI meters activity so invoices mirror real adoption instead of seat assumptions. Experiments can scale without renegotiating budgets every quarter. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make Confident AI stand out.
Confident AI remembers previous conversations to provide consistent, context-aware responses. Currently optimized for Web App.
Official SDKs handle authentication, retries, and error handling automatically.
Dashboards and analytics surface the metrics teams need to act. Analytics and reporting surface the metrics needed to act quickly.
Discover how different audiences leverage Confident AI for their specific needs.
Launch reviews and retrospectives stay organized in one place. Analytics and reporting surface the metrics needed to act quickly.
Self-service analytics reduces the backlog on central BI teams. Analytics and reporting surface the metrics needed to act quickly.
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Use this page as a starting point to evaluate Confident AI alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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