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Confident AI is an enterprise AI evaluation and observability platform built by the creators of DeepEval, founded November 2023 in San Francisco. It evaluates, observes, and improves LLM applications including RAG, agents, and chatbots across the full lifecycle.
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AI quality platform for enterprise teams to standardize AI evals and observability, with t · Full API access — every part of Confident AI is exposed as an API for prompt versioning, d · AI red teaming for safety vulnerabilities and adversarial testing of LLM applications. · AI quality platform that evaluates, observes, and improves LLM applications
Confident AI is the AI quality platform for enterprise teams to standardize AI evals and observability across the org — one consistent bar for how every team measures and monitors their AI.
Companies of all sizes
Companies of all sizes use Confident AI to justify why their LLM applications - RAG, Agents, or Chatbots, deserves to be in production.
RAG applications, AI Agents, and Chatbots · LLM observability and tracing for monitoring production AI quality, behavior, latency, and · Evaluating RAG pipelines
Companies of all sizes use Confident AI to justify why their LLM applications - RAG, Agents, or Chatbots, deserves to be in production.
Free Plan | $0/month | build and evaluate your first AI workflows · Enterprise Plan | Custom pricing | for mission-critical AI with advanced security and supp
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Evals API for programmatically pushing, updating, deleting, and versioning goldens (single
This section covers how to programmatically manage goldens in datasets using the Evals API
Uses Stripe as third-party payment processor · Native OpenTelemetry (OTEL) support at otel.confident-ai.com for language-agnostic instrum · One-line auto-instrumentation integrations for OpenAI, LangChain, Pydantic AI, LangGraph, · AI Connections allow running evaluations against a user's HTTPS endpoint with HTTP respons
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Confident AI: Enterprise AI Evaluation & Observability Platform
AI quality platform for enterprise teams to standardize AI evals and observability · Evaluate, observe, and improve LLM applications · Founded November 2023 in San Francisco, CA, US
AI quality platform for enterprise teams to standardize AI evals and observability, with trace monitoring, alerts, prompt versioning, dataset building, and trace ingestion.
Full API access — every part of Confident AI is exposed as an API for prompt versioning, dataset building, trace ingestion, project provisioning, and governance policy enrollment.
AI red teaming for safety vulnerabilities and adversarial testing of LLM applications.
Available as managed cloud (SaaS) and self-hosted on the customer's own cloud (AWS, Azure, GCP) via Docker, with identity-provider integrations (Azure AD, Okta, Ping).
SOC 2 Type II compliant, with data encrypted in transit and at rest; customer data is never used to train models.
Free Plan | $0/month | Build and evaluate your first AI workflows
Enterprise Plan | Custom pricing | for mission-critical AI with advanced security and support, including self-hosting
DeepEval is the open-source evaluation framework from the same creators; Confident AI is the commercial cloud platform layered on top of it.
Confident AI, Inc.
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These tools share a workflow, capability or audience with Confident AI. They may complement it rather than replace it, and are not presented as integrations or endorsements.
November 2023
San Francisco, CA, US
AI quality platform that evaluates, observes, and improves LLM applications
RAG applications, AI Agents, and Chatbots
Companies of all sizes
Provides a suite of open source tools including DeepEval
AI Governance with standardized evals, policies, and controls enforced at deploy time
AI Observability Workflows with custom post-ingestion automations for every trace
AI red teaming to find AI security vulnerabilities
Supports SOC 2, HIPAA, GDPR, EU AI Act, and NIST AI RMF compliance with immutable audit trails
Uses Stripe as third-party payment processor
Continuously evaluate production traffic using 50+ metrics and online evaluations
Detect anomalies and regressions across quality, reliability, latency, cost, and classifier outcomes with Monitors
Run end-to-end and component-level adversarial red team assessments scored with CVSS
LLM observability and tracing for monitoring production AI quality, behavior, latency, and cost
Python and TypeScript SDKs via the @observe decorator for manual instrumentation
Native OpenTelemetry (OTEL) support at otel.confident-ai.com for language-agnostic instrumentation in Python, TypeScript, Go, Ruby, C#, and more
One-line auto-instrumentation integrations for OpenAI, LangChain, Pydantic AI, LangGraph, OpenAI Agents, LlamaIndex, Crew AI, Vercel AI SDK, Strands Agents, and Google ADK
AI Connections allow running evaluations against a user's HTTPS endpoint with HTTP response, HTTP streaming, and SSE streaming modes
AI Connection endpoints can be secured with a secrets manager and Auth0 or HMAC authentication
AI quality platform built by the creators of DeepEval, co-founded by Jeffrey Ip and Kritin Vongthongsri
Confident AI is an AI quality platform that lets users evaluate, observe, and improve LLM applications.
2023-11
San Francisco, CA, US
Y Combinator-backed company (founders Jeffrey Ip and Kritin Vongthongsri).
Multi-turn evaluation of conversational AI across chatbots, conversational agents, and agentic systems using conversational metrics such as turn relevancy and conversation completeness.
LLM red teaming via DeepTeam, which automates attack generation, execution, and scoring against 50+ vulnerability types.
Regression testing that compares two or more test runs side-by-side and highlights regressions and improvements.
