Confident AI
Free tierWhere AI Quality is Standardized. Not Improvised.
Free tier available·All audiences·API available
Key strengths
LLM evaluation with research-backed metricsLLM observability (tracing, monitoring, alerting)AI red teaming against adversarial attacksAI governance and compliance enforcementOpen-source frameworks (DeepEval, DeepTeam)Git-based prompt versioningDataset auto-curation from production tracesChat simulations for multi-turn chatbotsSelf-hosting and multi-region data residencyFull API access for pipeline automation
Free tier + paid plans · from $200 USD/mo
Self-hostable
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Confident AI — Technical Overview
Confident AI is a freemium, open-source LLM quality platform built for engineering and QA teams shipping LLM-powered applications. It combines evaluation, observability, and red teaming into a unified pipeline, backed by research-grade metrics available through its open-source frameworks, DeepEval and DeepTeam.
Core capabilities:
- LLM Evaluation — Run structured test suites using research-backed metrics against versioned prompts and datasets.
- LLM Observability — Trace, monitor, and alert on production LLM calls in real time.
- AI Red Teaming — Systematically probe models for adversarial vulnerabilities using DeepTeam.
- AI Governance & Compliance — Enforce policy guardrails suitable for regulated industries (HIPAA-eligible on Enterprise tier).
- Git-based Prompt Versioning — Track and diff prompt changes with version control semantics.
- Dataset Auto-Curation — Automatically surface and curate evaluation datasets from production traces.
- Chat Simulations — Multi-turn chatbot testing via automated conversation simulation.
Integration surface:
- SDKs: Python, TypeScript
- HTTP: cURL and Postman-style REST endpoints
- CI/CD pipelines, GitHub, AWS, Azure, GCP
- Full API access for end-to-end pipeline automation
Deployment options: Cloud (multi-region data residency) or fully self-hosted (on-premises available on Enterprise).
Pricing: Free tier → Starter ($200/month) → Team ($2,000/month) → Enterprise (custom).