Who is Confident AI best for?

Confident AI is built for AI/ML engineers building LLM-powered applications, QA teams responsible for AI quality assurance and regression testing, Product managers and domain experts running no-code evaluation workflows, Enterprise teams in regulated industries (healthcare, finance, insurance). Common use cases include RAG pipeline evaluation and quality benchmarking; AI agent end-to-end quality assurance; Multi-turn chatbot testing and simulation.

How is Confident AI priced?

Free forever tier: 2 user seats, 1 project, 5 test runs/week, 1 GB-month trace spans, 1-week data retention. Starter: from $19.99/user/month (full regression testing, custom metrics, online evaluations, unlimited data retention, 5K online eval metric runs/month). Premium: from $49.99/user/month (chat simulations, no-code AI evaluation workflows, auto-curation from traces, real-time alerting, full API access, 10K online eval metric runs/month). Team: custom pricing for up to 10 users with unlimited projects, HIPAA/SOC2, SSO, dedicated support channel, and git-based prompt branching. Enterprise: custom pricing with unlimited users, on-premises deployment (AWS, Azure, GCP), 99.9% uptime SLA, and 24x7 dedicated technical support. Trace storage billed at $1/GB-month beyond included limits. Annual billing discounts available.

What are the alternatives to Confident AI?

Common LLM Observability Evals & Gateways alternatives to Confident AI include Arize AI, Langfuse, Braintrust, LangChain, LiteLLM. See the full comparison hub at /verticals/llm-observability-evals-gateways/compare.

What do users praise about Confident AI?

Users frequently praise: Open-source credibility via DeepEval integration; Breadth of research-backed evaluation metrics; Straightforward onboarding without credit card; Cross-functional collaboration for non-engineers; Responsive and supportive team; CI/CD integration for regression testing; Clean and well-structured dashboard UI.

What are common complaints about Confident AI?

Frequently cited limitations: Learning curve for LLM evaluation concepts (faithfulness, answer relevancy); Advanced features gated behind higher-tier plans; Per-user pricing can escalate for large teams; Limited real-time streaming observability vs. dedicated tools; Lack of pricing clarity for advanced features; Early-stage platform with limited third-party review coverage.

When was Confident AI founded and where?

Confident AI was founded in 2024, headquartered in San Francisco, USA by Jeffrey Ip, Kritin Vongthongsri.

How big is Confident AI?

Confident AI reports 1-10 employees, 500+ AI companies customers.

AI visibility report

AI visibility report for Confident AI in LLM Observability Evals & Gateways.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Braintrust is cited on 14 of those losses.

25 prompts

5 platforms

Updated Sep 17, 2026 - refreshed weekly

Track Confident AI daily

14-day free trial. No card required. Setup comes pre-filled for Confident AI.

Track Confident AI across these prompts daily.

Start your 14-day trial

10percent

Presence Rate

Low presence

Still absent from 89.6% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

N/A

Sentiment

-1.00.0+1.0

Unknown

No clearrank

Peer Ranking

#1#11

No clear rankin LLM Observability Evals & Gateways

Key Metrics

Presence Rate

10.4%

Share of Voice

8.8%

Avg Position

#4.0

Docs Presence

2.4%

Blog Presence

0.0%

Brand Mentions

15.2%

Platform Breakdown

Bing Copilot

24%6/25 prompts

Perplexity

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Confident AI is a Y Combinator-backed (W25) AI quality platform founded in 2024 and headquartered in San Francisco. Built by the creators of DeepEval — the open-source LLM evaluation framework with 14K+ GitHub stars and over 150K developers — Confident AI provides a unified cloud platform for engineering, QA, and product teams to evaluate, trace, and monitor LLM applications across the full development lifecycle. Core capabilities include 50+ research-backed evaluation metrics, production LLM tracing, automatic dataset curation from traces, multi-turn conversation simulation, CI/CD regression testing, git-based prompt versioning, and AI red teaming. The platform targets teams building RAG systems, agents, and chatbots in any framework, with enterprise-grade compliance (SOC 2 Type II, HIPAA, GDPR) and on-premises deployment for regulated industries. Trusted by 500+ AI companies including Panasonic, BCG, Samsung, and Epic Games.

AI visibility report

AI visibility report for Confident AI in LLM Observability Evals & Gateways.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Braintrust is cited on 14 of those losses.

25 prompts

5 platforms

Updated Sep 17, 2026 - refreshed weekly

Track Confident AI daily

14-day free trial. No card required. Setup comes pre-filled for Confident AI.

Track Confident AI across these prompts daily.

Start your 14-day trial

10percent

Presence Rate

Low presence

Still absent from 89.6% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

N/A

Sentiment

-1.00.0+1.0

Unknown

No clearrank

Peer Ranking

#1#11

No clear rankin LLM Observability Evals & Gateways

Key Metrics

Presence Rate

10.4%

Share of Voice

8.8%

Avg Position

#4.0

Docs Presence

2.4%

Blog Presence

0.0%

Brand Mentions

15.2%

Platform Breakdown

Bing Copilot

24%6/25 prompts

Perplexity

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

Praised

Open-source credibility via DeepEval integration
Breadth of research-backed evaluation metrics
Straightforward onboarding without credit card
Cross-functional collaboration for non-engineers
Responsive and supportive team
CI/CD integration for regression testing
Clean and well-structured dashboard UI

Criticized

Learning curve for LLM evaluation concepts (faithfulness, answer relevancy)
Advanced features gated behind higher-tier plans
Per-user pricing can escalate for large teams
Limited real-time streaming observability vs. dedicated tools
Lack of pricing clarity for advanced features
Early-stage platform with limited third-party review coverage

Confident AI has no verifiable aggregate score on G2 as of early 2026 (profile unclaimed, zero reviews on file). Gartner Peer Insights lists a small number of qualitative reviews praising reliability, smooth implementation, responsive support, and clean dashboard UX, though no numerical aggregate was confirmed. Product Hunt reception at launch was positive, with users praising the DeepEval integration, breadth of metrics, and the shift from subjective to objective LLM output measurement. Independent review commentary highlights straightforward onboarding (no credit card required) and the platform's open-source credibility as strong positives, while flagging a learning curve for LLM evaluation concepts and tier-gated advanced features as drawbacks.

Prompt	ChatGPT	Gemini Search	Perplexity	Google AI Mode	Bing Copilot
Capability3/5 cited (60%)
Looking for an eval platform that supports automated safety and toxicity scoring on LLM outputs at scale — what are my options?	A competitor was cited	Your brand was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited
What platforms support end-to-end tracing of multi-agent pipelines including tool calls, retrieval steps, and sub-agent spawning?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Arize AI	26.4%	17.5%	0.8%	4.0%	16.0%	#3.5	—
2	Langfuse	24.8%	18.4%	7.2%	4.0%	62.4%	#2.7	—
3	Braintrust	23.2%	16.2%	4.0%	0.0%	48.0%	#3.4	—
4	LangChain	20.8%	16.2%	8.0%	0.0%	51.2%	#3.1	—
5	LiteLLM	10.4%	10.1%	7.2%	1.6%	0.0%	#3.1	—
6	Confident AI	10.4%	8.8%	2.4%	0.0%	15.2%	#4.0	—
7	Galileo	6.4%	4.4%	0.8%	5.6%	7.2%	#3.0	—
8	Portkey	5.6%	3.5%	2.4%	0.0%	19.2%	#2.9	—
9	Helicone	3.2%	1.8%	2.4%	0.8%	22.4%	#3.3	—
10	Traceloop	1.6%	2.6%	0.0%	0.8%	4.0%	#5.5	—
11	Patronus AI	0.8%	0.4%	0.8%	0.0%	0.8%	#1.0	—

Developer Experience2/5 cited (40%)
Which LLM tracing platforms make it easiest to replay a failed multi-step agent run and pinpoint exactly where reasoning went wrong?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem2/5 cited (40%)
Which LLM observability platforms integrate natively with the most popular agent frameworks so traces appear automatically with no manual instrumentation?	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability2/5 cited (40%)
Which LLM observability platforms stay reliable under traffic spikes from batch eval jobs running thousands of LLM calls simultaneously?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Your brand and a competitor were cited

AI visibility report for Confident AI in LLM Observability Evals & Gateways.

Key Metrics

Platform Breakdown

Overview

AI visibility report for Confident AI in LLM Observability Evals & Gateways.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Confident AI is not.

Where Confident AI is winning2

Where Confident AI is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Confident AI customer outcomes

Recent Trend

How AI describes Confident AI3

Most cited sources8

Alternatives in LLM Observability Evals & Gateways6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run1/5 cited (20%)
What's the fastest LLM tracing platform for instrumenting a Python-based agent framework without rewriting existing code?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited

AI visibility report for Confident AI in LLM Observability Evals & Gateways.

Key Metrics

Platform Breakdown

Overview

AI visibility report for Confident AI in LLM Observability Evals & Gateways.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Confident AI is not.

Where Confident AI is winning2

Where Confident AI is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Confident AI customer outcomes

Recent Trend

How AI describes Confident AI3

Most cited sources8

Alternatives in LLM Observability Evals & Gateways6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does Confident AI do?

Who is Confident AI best for?

How is Confident AI priced?

What are the alternatives to Confident AI?

What do users praise about Confident AI?

What are common complaints about Confident AI?

When was Confident AI founded and where?

How big is Confident AI?