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Confident AI (DeepEval)

https://www.confident-ai.com/ Research Team Data
Active

AI quality platform and open-source DeepEval framework for evaluating, testing, tracing and monitoring LLM applications.

DeepEval provides evaluation metrics and regression tests for LLM apps, RAG, agents and chatbots; Confident AI adds datasets, prompt versioning, tracing, observability, production monitoring, human annotation and collaboration.

Positioning

AI quality and LLM evaluation platform

Key facts

HQ location
San Francisco, CA, USA
Founded
2024
Employee range
1-10 (2-10)
Funding stage
—
Company type
Private (Private)
Pricing model
Licensing Open Source (Open-source DeepEval plus commercial Confident AI platform / enterprise pricing)
Last updated
Jun 21, 2026

Revenue estimate

Unknown

Valuation estimate

Unknown

Investments

YC W25; other funding not publicly disclosed

Target customers

AI engineering, product, QA and platform teams building LLM apps, agents, RAG systems and chatbots

Key competitors

Braintrust, LangSmith, Galileo, Arize AI, Humanloop

Known customers

Unknown

Classification (raw research text)

Core focus
LLM evaluation, AI quality and observability
Core industry
Developer Tools / AI Quality
Core category
LLM evaluation and AI quality platform

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • AI Quality Assurance / LLM Evaluation Primary focus
  • AI Observability / Monitoring Primary focus
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Asset Inventory / Model Registry Secondary feature
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Text Chatbots / Conversational Assistants Secondary feature
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Not emphasized
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Secondary feature
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Not emphasized
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Not emphasized
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Not emphasized
  • AI Quality Assurance / LLM Evaluation Primary focus
  • AI Observability / Monitoring Primary focus
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Not emphasized
  • AI Asset Inventory / Model Registry Secondary feature
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Secondary feature
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Not emphasized
  • Enterprise App / Internal Tool Builder Not emphasized
  • Vertical-Specific AI Not emphasized