Confident AI
Confident AI provides an AI quality platform for evaluating, monitoring, red-teaming, and governing LLM applications. It serves AI teams at enterprises—especially in regulated industries—with an open-source-led, Python/TypeScript SDK approach and subscription-based pricing.
- Company typePrivate
- Founded2023
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Confident AI does
Confident AI is an AI quality platform that helps engineering, product, and QA teams evaluate, monitor, secure, and govern large language model (LLM) applications. The platform is organized around four integrated products: LLM Evaluation (benchmarking with research-backed metrics for faithfulness, relevancy, and latency), LLM Observability (production tracing and alerting with full context including tool calls, token cost, and metadata), AI Red Teaming (adversarial stress-testing with 120+ plug-and-play vulnerabilities, 10+ attack types, and the OWASP Top 10 for Agentic Applications framework), and AI Governance (enforcing shared evaluation standards across teams). Underlying the platform are two open-source frameworks—DeepEval (14K+ GitHub stars) for evaluation and DeepTeam for red teaming—which the company leverages as developer-acquisition funnels and which integrate into Python and TypeScript SDKs and 20+ frameworks (LangChain, LangGraph, LlamaIndex, OpenAI, Crew AI, Pydantic AI, Vercel AI SDK, OpenTelemetry, LiteLLM, Portkey, Agent Core).
The company targets AI teams at enterprise organizations that need to standardize quality across multiple AI initiatives, with particular emphasis on regulated industries (healthcare, insurance, financial) requiring HIPAA, SOC 2 Type II, and GDPR compliance plus self-hosted deployment options. Go-to-market combines product-led growth—a free tier with self-serve signup—with enterprise field sales targeting CTOs, Chief AI Officers, and QA/Engineering leadership at Fortune 500 companies. Named enterprise customers include RLDatix, Finom, Humach, Amdocs, Panasonic, Toshiba, Samsung, Phreesia, Syngenta Group, Epic Games, and BCG, and the company reports 500+ leading AI companies as customers, 2,500+ Discord community members, and documented outcomes such as 10-day-to-3-hour improvement cycles (Finom), 80% LLM cost reductions (Supernormal), and 200% speed-to-market gains (Humach).
Confident AI was founded in 2023 and is headquartered in San Francisco. The company is led by co-founders Jeffrey Ip (CEO; ex-Google YouTube, Microsoft AI/Office365; creator of DeepEval and DeepTeam) and Kritin Vongthongsri (Princeton, ML + CS). It is a Y Combinator–backed private company that closed a $2.2 million seed round in March 2025 from Flex Capital, January Capital, Liquid 2 Ventures, Rebel Fund, Vermilion Cliffs Ventures, and Y Combinator. Revenue is generated through subscription-based SaaS contracts (quote-based enterprise tier, annual billing, with self-hosted/on-prem options) layered on top of a freemium funnel. The platform is sold globally with operational sub-processors in the United States, Europe, and Australia.
Confident AI firmographics
Firmographics- Name
- Confident AI
- Legal name
- Confident AI, Inc.
- Website
- https://confident-ai.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Confident AI provides an AI quality platform for evaluating, monitoring, red-teaming, and governing LLM applications. It serves AI teams at enterprises—especially in regulated industries—with an open-source-led, Python/TypeScript SDK approach and subscription-based pricing.
- Ownership category
- akta.pro rank
Confident AI industry classification
Industry- Product category
- LLM Evaluation & AI Quality Platform
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
- akta.pro secondary industries
- Safety & Alignment Evaluation (red-teaming, harmful capability testing) (HDAAAMAL), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where Confident AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Confident AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations, Supply Chain
Revenue model
- SaaS Subscription: Subscription-based access to the Confident AI platform during a defined Subscription Period, with fees identified per Order. Enterprise plans include self-hosted deployment options.
- Free Tier: Free tier allowing teams to get started with basic evaluation and tracing capabilities. Enterprise tier requires sales-assisted engagement.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier with core evaluation and tracing capabilities |
| Subscription | Annual | Enterprise plan with full platform capabilities and compliance features |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels8 records
Confident AI product offering
Product offeringCore offering
Confident AI provides an AI Quality Platform for evaluating, observing, red-teaming, and governing large language model applications. The commercial SaaS combines LLM Evaluation (benchmarking with research-backed metrics), LLM Observability (production tracing, monitoring, and alerting), AI Red Teaming (adversarial attack simulation using OWASP-aligned frameworks), and AI Governance (cross-team standard enforcement), and is complemented by the open-source DeepEval and DeepTeam frameworks. The platform targets enterprise AI teams and regulated industries through Python/TypeScript SDKs and 20+ integrations with LLM frameworks and gateways.
Product overview
Confident AI is an AI quality platform consisting of four core integrated products: LLM Evaluation (benchmarking with research-backed metrics), LLM Observability (production tracing and monitoring), AI Red Teaming (adversarial testing), and AI Governance (enforcing standards across teams). The platform is powered by two open-source frameworks—DeepEval for evaluation and DeepTeam for red teaming—which integrate directly into CI/CD pipelines. The platform supports Python and TypeScript SDKs and offers 20+ native integrations with LLM frameworks and gateways. AI Observability Workflows enables automated pipeline orchestration for dataset ingestion, evaluation rules, and classifiers.
Differentiator
Problem solved
Functional benefit
Brands
- DeepEval: The open-source LLM evaluation framework created by Confident AI.
- DeepTeam
Products and services
- LLM Evaluation Benchmark LLM systems with research-backed metrics covering output quality, faithfulness, relevancy, coherence, latency, and RAG pipeline performance; designed for AI teams that need to evaluate models and AI applications before and after deployment.
- LLM Observability Trace, monitor, and alert on production LLM systems with full per-call context including inputs, outputs, tool calls, latency, token cost, and metadata; provides quality alerts on monitored traces for product, QA, and engineering teams.
- AI Red Teaming Stress-test LLM applications against adversarial attacks including prompt injection, jailbreaking, bias, and PII leakage; provides 120+ plug-and-play vulnerabilities, 10+ attack types, and frameworks such as OWASP Top 10 for Agentic Applications with PDF-ready assessment reports.
- AI Governance Enforce AI standards and controls across teams with shared evaluation standards, quality bars, and compliance workflows; aligns product, QA, and engineering on one eval standard for every release.
- DeepEval Open-source LLM evaluation framework for running LLM tests locally or in CI pipelines with research-backed metrics; used by developers integrating regression testing into CI/CD.
- DeepTeam Open-source LLM red teaming framework built on top of DeepEval for safety testing LLMs; automates adversarial attack generation, execution, and scoring.
- AI Observability Workflows Graph-based interface for managing post-ingestion pipeline tasks including dataset ingestion, queue ingestion, evaluation rules, and classifiers; lets teams stitch tasks into ordered pipelines on top of LLM Observability.
Quantifiable outcome
- Improvement cycle reduced from 10 days to 3 hours
- +4 more outcomes
Companies that use Confident AI
Customer profileNamed customers12 records
Segments4 records
Ideal customer profiles4 records
Confident AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability7 records
Feature9 records
Confident AI partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core.
- OpenAIcoreOpenAI is listed as an integration partner with SDK support for OpenAI models. OpenAI AI Services are used for AI model processing and inference as a sub-processor according to DPA documentation.
- LangGraphcoreLangGraph integration available in SDKs for orchestrating agent workflows and evaluating LLM applications built with LangGraph
- LlamaIndexcoreLlamaIndex integration available for evaluating LLM applications built with LlamaIndex data frameworks
- Pydantic AIcorePydantic AI integration available in SDKs for type-safe LLM application development and evaluation
- Crew AIcoreCrew AI integration available for evaluating multi-agent LLM applications built with Crew AI framework
- LangChaincoreLangChain integration available for evaluating LLM applications built with LangChain ecosystem
- OpenTelemetrycoreOpenTelemetry integration for tracing LLM calls and ingesting traces into Confident AI platform
- Vercel AI SDKcoreVercel AI SDK integration available for evaluating AI applications deployed on Vercel
- PortkeycorePortkey integration available for evaluating LLM applications using Portkey AI gateway for observability
- AWScoreAWS is used for blob storage as a sub-processor. On-prem deployment option available on AWS cloud premises.
- StripecoreStripe processes payment processing and subscription management for Confident AI. Located in United States and Europe.
- SupabasecoreSupabase provides database management and storage for all Confident AI services. Located in United States, Europe, and Australia.
- GitHubcoreGitHub is used for code repository and version control as a sub-processor. DeepEval and DeepTeam repositories hosted on GitHub.
- SlackcoreSlack is used for team communication and collaboration as a sub-processor. Confident AI community also operates a Slack community.
- MixpanelcoreMixpanel provides product analytics and user behavior tracking as a sub-processor.
- ClickHousecoreClickHouse provides data storage as a sub-processor for Confident AI analytics infrastructure.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Confident AI competitors and assessment
Company assessmentBroad incumbents
- Datadog: Datadog is a large-scale cloud observability platform that has introduced LLM observability and monitoring features (e.g., LLM Observability, AI Guard). It is a broad incumbent threat that can bundle AI evaluation into its existing enterprise observability stack.
- New Relic: New Relic is an enterprise observability platform adding AI monitoring capabilities. As a broad incumbent, it can compete with Confident AI for CIO/CTO budget at large enterprises that prefer a single-vendor observability suite.
Direct peers
- LangSmith: LangSmith is the LLM evaluation, observability, and debugging suite from LangChain. It is the most direct competitor to Confident AI, targeting the same developer and enterprise audience with deep native integration into the LangChain framework that Confident AI also supports.
- Patronus AI: Patronus AI offers LLM evaluation, safety testing, and red-teaming for enterprise AI applications. It competes most directly with Confident AI's evaluation and red-teaming modules and targets the same regulated-industry buyers.
- Braintrust: Braintrust is an LLM evaluation and observability platform with strong developer-led adoption. It competes head-to-head with Confident AI on evaluation metrics, CI-integrated testing, and enterprise governance workflows.
- Arize AI: Arize AI provides LLM observability, evaluation, and experiment-tracking for production AI applications. It overlaps directly with Confident AI's LLM Evaluation and LLM Observability products and is sold into similar enterprise AI/ML platform teams.
- WhyLabs: WhyLabs provides AI observability, data quality, and LLM monitoring built on the open-source whylogs library. It competes with Confident AI on production monitoring, drift detection, and governance for AI systems.
- Helicone: Helicone is an open-source LLM observability platform providing tracing, monitoring, and cost tracking for LLM applications. It overlaps with Confident AI's observability product and shares the open-source-led growth motion.
Emerging players
- Maxim AI: Maxim AI is an evaluation and observability platform for agentic and LLM applications, focused on simulation, tracing, and human-in-the-loop review. It targets a similar developer and AI team buyer but with a narrower current product surface.
- MLflow: MLflow (Databricks) is the dominant open-source ML lifecycle and experiment-tracking platform. It overlaps thematically with Confident AI's evaluation capabilities and benefits from Databricks' enterprise distribution muscle, especially for traditional ML and LLM evaluation use cases.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat7 records
Key risks6 records
Key highlights7 records
Customer concentration
Confident AI social profiles
Digital presenceConfident AI compliance and trust
Trust signalCompliance3 records
Confident AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Confident AI leadership team
Management profileNumber of profiles
Profiles2 records
Confident AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Confident AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Confident AI
What does Confident AI do?
Confident AI provides an AI Quality Platform for evaluating, observing, red-teaming, and governing large language model applications. The commercial SaaS combines LLM Evaluation (benchmarking with research-backed metrics), LLM Observability (production tracing, monitoring, and alerting), AI Red Teaming (adversarial attack simulation using OWASP-aligned frameworks), and AI Governance (cross-team standard enforcement), and is complemented by the open-source DeepEval and DeepTeam frameworks. The platform targets enterprise AI teams and regulated industries through Python/TypeScript SDKs and 20+ integrations with LLM frameworks and gateways.
Is Confident AI a public or private company?
Confident AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Confident AI founded?
Confident AI was founded in 2023. It employs 1 to 10 people.
Where is Confident AI based?
Confident AI is headquartered in San Francisco, United States, in the North America region.
How does Confident AI make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are free Tier.
Who are Confident AI's main competitors?
Broad incumbents on record are Datadog and New Relic. Direct peers are LangSmith, Patronus AI, Braintrust, Arize AI, WhyLabs and Helicone. Emerging players are Maxim AI and MLflow.
Does Confident AI have an API?
Yes. Every part of Confident AI is exposed as an API. Version prompts, build datasets, ingest traces, ship custom dashboards. The SDK supports Python and TypeScript. Developer documentation is at www.confident-ai.com/docs.
What industry is Confident AI in?
Confident AI's product category is LLM Evaluation & AI Quality Platform. Its primary akta.pro industry code is HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety), with a secondary code of HDAAAMAL, Safety & Alignment Evaluation (red-teaming, harmful capability testing). Its NAICS code is 5132 and its SIC code is 7372.