LLM Evaluation
Evaluates LLM applications and agents with 50+ research-backed metrics, mostly LLM-as-a-judge, over golden datasets and simulated multi-turn conversations run against any endpoint, with experiments that compare prompts or models and CI checks that block regressions.
Find alternatives to LLM Evaluation
What it does
- Evaluation and observability
Sources
- Pricing
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Free plan lists "Full LLM unit and regression testing suite" and "Evals in development and CI/CD"; Starter "$200 / month", Team "$2,000 / month", Enterprise "Custom pricing". The platform-wide pricing page prices tiers, not this module alone; the free-plan entitlement is named for the evaluation suite.
- Description
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Official documentation · 21 Oct 2026
"Postman for AI evaluation. Connect via API, simulate conversations, and test entire AI workflows — not just prompts." and "We offer 50+ research-backed metrics mainly using LLM-as-a-judge evaluators that use a language model to assess quality, tone, safety, and more."
- What it does
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Official documentation · 21 Oct 2026
"Benchmark LLM systems with research-backed metrics."
- Sold within
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Self-serve signup on the free plan ("Try Now For Free" on the product page) and a published tier list whose Free tier names the evaluation suite; no parent product.
- Name
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Official documentation · 21 Oct 2026
Menu and page title: "LLM Evaluation"; heading "LLM Evals For The Entire Team."
- URL
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Official documentation · 21 Oct 2026
Product-menu page "LLM Evaluation" (Products: LLM Evaluation, LLM Observability, AI Red Teaming, AI Governance), listed in the vendor's llms.txt and sitemap.
- Deployment
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Enterprise plan lists "Dedicated On-Prem Deployment"; the platform is otherwise hosted.
- Interfaces
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Official documentation · 21 Oct 2026
"Connect via API, simulate conversations, and test entire AI workflows"; the pricing page (https://www.confident-ai.com/pricing) lists full project API access from the Starter plan, and the page shows an MCP server panel.
- Modalities
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Official documentation · 21 Oct 2026
"Upload test cases, pick the metrics that matter, set thresholds for" (golden dataset rows of input and expected output in; metric scores out).
- Intended for
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Official documentation · 21 Oct 2026
Heading "LLM Evals For The Entire Team. Not Just Engineers."; solutions menu lists engineers, product managers, QA teams, domain experts and enterprise.
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LLM Observability Platform
LLM Observability traces LLM applications, evaluates production traces, and alerts teams when quality metrics deteriorate.
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AI Red Teaming Platform
Simulates adversarial attacks against an LLM app or agent reachable through an API endpoint, mapped to OWASP LLM Top 10, OWASP Agentic AI Top 10, NIST AI RMF and MITRE ATLAS, scores each finding by CVSS and returns the failed prompt, output and remediation guidance.
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DeepEval Developer tool
Open-source (Apache 2.0) framework that unit-tests LLM applications, agents, RAG pipelines and chatbots with pytest-native evals, 50+ research-backed LLM-as-a-judge metrics, synthetic golden generation and simulated conversations.
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DeepTeam Developer tool
Open-source (Apache 2.0) LLM red-teaming framework that uses LLMs to simulate single- and multi-turn adversarial attacks across 120+ vulnerabilities and maps results to OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF and the EU AI Act from Python.
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