Confident AI
Confident AI is the evaluation and observability platform for AI quality, providing engineering teams with tools to build reliable AI through comprehensive testing and monitoring.
At a Glance
- AI Engineering Teams
- Enterprise Software Development
- Financial Services
- Healthcare
AI Tools by Confident AI
(2)DeepEval
LLM Evaluation Framework
Confident AI
LLM Evaluation and Tracing Platform
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Latest News
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Products & Services
A cloud-based platform for evaluating, testing, and monitoring LLM applications. Includes features for dataset curation, regression detection, and production observability.
An open-source LLM evaluation framework that powers Confident AI, providing over 30 metrics for unit testing and regression analysis.
Market Position
Positions as the most comprehensive evaluation platform for AI quality, combining open-source flexibility (DeepEval) with enterprise-grade cloud infrastructure and observability.
Leadership
Founders
Jeffrey Ip
CEO & Co-founder at Confident AI. Previously a Software Engineer at Google. Founded the company after building a RAG API and realizing the difficulties of LLM evaluation.
Kritin Vongthongsri
Co-founder at Confident AI. Previously built NLP pipelines for fintech startups and conducted ML research in self-driving cars and Human-Computer Interaction at Princeton University (ORFE major, CS minor).
Executive Team
Jeffrey Ip
CEO & Co-founder
Ex-Google Software Engineer; focused on building AI quality infrastructure.
Kritin Vongthongsri
Co-founder
Ex-fintech NLP engineer and ML researcher at Princeton.
Board of Directors
Founding Story
Jeffrey Ip started Confident AI in 2023 after experiencing the challenges of evaluating AI systems while building a RAG API. He and Kritin Vongthongsri developed the open-source DeepEval framework to provide a 'Postman for AI' and evaluation infrastructure that gives developers confidence in their LLM applications.
Business Model
Revenue Model
SaaS subscription with tiered pricing (per user and usage-based for trace data/eval runs) and custom enterprise licensing.
Pricing Tiers
2 user seats, 1 project, unlimited trace spans, 5 test runs/week, 1 GB-month trace data, 1-week retention.
1 user seat, 1 project, 1 GB-month trace data, 5k online eval runs/mo, unlimited retention, email support.
1 user seat, 1 project, 15 GB-month trace data, 10k online eval runs/mo, chat simulations, no-code workflows, pre-commit prompt evals.
Min 10 users, unlimited projects, 75 GB-month trace data, 50k online eval runs/mo, git-based prompt branching, approval workflows.
Unlimited users/projects, AI red teaming, on-prem deployment, infosec review, 24/7 technical support, SOC2/HIPAA compliance.
Target Markets
- AI Engineering Teams
- Enterprise Software Development
- Financial Services
- Healthcare
- Unit testing LLM outputs
- Regression testing during CI/CD
- Production monitoring of AI apps
- Red teaming and security evaluation
- Dataset generation and annotation
- Panasonic
- Toshiba
- Samsung
- Phreesia