Confident AI

Confident AI is the AI quality layer for engineers, QA teams, and product leaders. Benchmark, test, and monitor AI systems with research-backed metrics.

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Confident AI Blog - Resources to help teams stay confident in AI Launch Week 02 is live — five days of launches Confident AI Products LLM Evaluation Benchmark LLM systems with research-backed metrics. LLM Observability Trace, monitor, and alert on production…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Careers Launch Week 02 is live — five days of launches Confident AI Products LLM Evaluation Benchmark LLM systems with research-backed metrics. LLM Observability Trace, monitor, and alert on production LLM systems. AI Red Teaming Stress-test LLM apps against…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Confident AI - The AI Quality Platform Launch Week 02 is live — five days of launches Confident AI Products LLM Evaluation Benchmark LLM systems with research-backed metrics. LLM Observability Trace, monitor, and alert on production LLM systems. AI Red Teamin…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Pricing | Confident AI Launch Week 02 is live — five days of launches Confident AI Products LLM Evaluation Benchmark LLM systems with research-backed metrics. LLM Observability Trace, monitor, and alert on production LLM systems. AI Red Teaming Stress-test LL…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Confident AI pricing starts at $0/month. Scale from individual developers to enterprise teams with SOC2-compliant AI quality and observability.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

YC company; DeepEval OSS with enterprise adoption.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Build and grow the world's biggest open-source LLM evaluation product.

Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.

Join our weekly newsletter to stay confident in the AI systems you build. Our articles include tutorials, guides, and essays to safely build and evaluate LLMs.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, I'm going to go through all the top LLM benchmarks currently used and why they matter.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, you'll learn everything about running LLM Arena-as-a-judge as a novel way to regression test LLMs.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Learn how to evaluate LLM agents end-to-end with tool calling, task completion, reasoning, trace-based evals, human review, and DeepEval code examples.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Report Templates let you customize the reports Confident AI generates for your team. Build daily reports that dig into traces, identify where your AI agent is underperforming, summarize common usage patterns, and show the exact pages and sections you care abo…

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Many teams already had great synthetic data generation pipelines running locally, but consolidating that work on one platform usually meant giving up flexibility. Synthetic Data Generation Pipelines bring that control into Confident AI: choose the sources to…

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Human review only helps if everyone captures the same thing. Annotation Forms let you define the exact set of fields reviewers fill in — text, numbers, scales, yes/no, single and multiple choice, and scored criteria — so every annotation comes back structured…

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Dataset ingestion, queue ingestion, evaluation rules, and classifiers have lived on Confident AI for a while — but in separate corners of the product. Workflows brings them into one interface: a single graph of your post-ingestion pipeline, with a tab to conf…

Why it matters: Company publishing — post cadence and depth hint at product velocity.

As AI spreads across an org, every team evaluates differently and no one can answer 'is this ready to ship?'. AI Governance is the layer on top of the evals, observability, and red teaming your teams already run — turning those signals into one standard, enfo…

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Your best evaluation data already exists — it's sitting in Google Drive, SharePoint, Notion, and S3. Dataset generation on Confident AI turns your existing documents into evaluation-ready datasets automatically.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

You can't improve what you can't see. Auto-categorization tells you what your users are actually asking, detects response drift, and shows you which categories perform best — and which ones need help.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Production traces are the best dataset you’ll ever get — but most teams never turn them into one. With auto-ingest, your traces flow straight into datasets and annotation queues, continuously.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Everyone agrees evals should run regularly. But nobody remembers to actually run them. Scheduled Evals fixes that — set the frequency, configure your mappings, and never scramble before a release again.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Error analysis used to mean pulling traces in code, hacking together an LLM to recommend metrics, and hoping for the best. Not anymore.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical guide to human-in-the-loop workflows for AI agent evaluation: how SMEs review AI agent failures, align automated metrics, and improve evaluation datasets.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, I'll show you how to jailbreak your LLM application to detect it for vulnerabilities.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

LLMs make synthetic data easy to leverage, but how exactly can we make these generated data relevant and useful?

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this tutorial, we'll walkthrough how to setup a full testing suite for RAG applications using DeepEval.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, we will debunk how to evaluate an LLM application / RAG pipelines the right way.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, you're going to learn how to build the world's most robust and scalable LLM evaluation framework.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, you'll learn how to build a RAG based chatbot on your PDFs using OpenAI and ChromaDB

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Announcing Confident AI's seed round, with participation from a bunch of great investors.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, I'm sharing how I've built DeepEval's latest deterministic, LLM-powered, custom metric.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, we'll bring you a hand-picked, carefully curated list of top LLM evaluation tools in the market.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

This article goes through everything on G-Eval for anyone to easily evaluate LLM apps on any task specific criteria.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, you'll learn how to evaluate LLM systems using LLM evaluation metrics and benchmark datasets.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical guide to evaluating AI agents with LLM metrics and tracing—plus when human review matters, how it calibrates judges, and workflows that combine CI, sampling, and production signals.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, you'll learn how to create a customer support chatbot using GPT-3.5 and lLamaIndex.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this interactive tutorial, I'll show you how to become a Midjournalist to create image you image.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Everything you need to know about AI agent observability in 2026 — traces, spans, and threads; online and offline evals; production monitoring; and closing the feedback loop so failures never repeat.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, I'll teach you how to create your own text summarization metric.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, we'll introduce the ways in which you can carry out automated, LLM evaluation.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, I'll walkthrough everything you need to know about LLM evaluation metrics, with code samples.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

In this article, you'll learn about LLM red teaming and how it can be carried out using DeepTeam.

Why it matters: Company publishing — post cadence and depth hint at product velocity.