About Confident AI
Confident AI is an AI quality platform that provides tools for evaluating, monitoring, and optimizing large language model (LLM) applications. For physicians and healthcare organizations, this means a robust system to ensure the reliability, accuracy, and safety of AI tools integrated into clinical workflows. The platform, built on the open-source DeepEval framework, allows engineering, quality assurance, and product teams to benchmark and safeguard AI quality within continuous integration and deployment pipelines. This is particularly crucial in healthcare, where the performance and ethical implications of AI systems directly impact patient care and outcomes.
The company’s offerings help address the “black box” nature of LLMs by providing transparent, automated, and scalable testing solutions. This enables healthcare enterprises to confidently deploy AI systems, reduce the risk of regressions, and optimize performance. Confident AI’s platform supports various LLM use cases, including chatbots, agents, and retrieval-augmented generation (RAG) pipelines, which are increasingly relevant in healthcare for tasks like administrative automation, clinical decision support, and patient communication. By offering comprehensive metrics and observability features, Confident AI aims to ensure that AI applications in healthcare are not only effective but also trustworthy and compliant with industry standards.
Focus Areas
Business Intelligence
| Key Investors | Y Combinator, Flex Capital, Oliver Jung, Vermilion Cliffs Ventures, Liquid 2 Ventures, January Capital, Rebel Fund, Third Prime, Aaron King, Kunal Shah, Robert Wuttke |
| Partnerships | Finom, Amdocs, Humach, Supernormal, Microsoft, AstraZeneca, AXA, Boston Consulting Group, Stellantis, Mercedes Benz |
| Technology | Cloud-based evaluation platform, DeepEval (open-source LLM evaluation framework), OpenTelemetry, OpenInference, Python SDK, TypeScript SDK, self-hosted deployment option |
What Physicians Need to Know
For physicians, Confident AI's focus on AI quality, safety, and governance is crucial for ensuring the reliability and trustworthiness of AI tools in clinical settings. The platform's ability to detect vulnerabilities, biases, and harmful outputs through red teaming and continuous evaluation can help mitigate risks associated with AI in healthcare. Its emphasis on compliance standards, including those for regulated industries like healthcare, and options for self-hosting or data storage in specific regions (US or EU) can address data security and privacy concerns. The ability to standardize AI evaluations and provide clear reports can also aid in regulatory compliance and building confidence in AI-derived information among healthcare workers. While Confident AI is an enterprise solution, its underlying principles of rigorous evaluation and safety are directly applicable to the responsible adoption of AI in medicine.
Confident AI integrates natively with DeepEval and offers SDKs for Python and TypeScript. It supports OpenTelemetry and OpenInference, making it compatible with a wide range of AI frameworks and SDKs, including LangChain, LangGraph, OpenAI, Pydantic AI, CrewAI, Vercel AI SDK, and LlamaIndex.
Reviews & Opinions
Videos
News, demos, and interviews about Confident AI.
Videos load interactively. If none appear, search YouTube for Confident AI →
Press & Coverage
Frequently Asked Questions
Investors
Who's funded Confident AI.
Related Companies
Rocket Systems is a global software development company that specializes in building custom software, ready-to-use products, and providing staff augmentation. Founded in 2014, the company has grown to become a trusted partner for businesses worldwide, focusing on innovative solutions that drive business value. They are recognized for their commitment to excellence, accessibility-first design, and cutting-edge […]
Coral AI is a healthcare artificial intelligence company that aims to streamline administrative workflows for healthcare providers, ultimately accelerating patient access to care. The company’s AI-driven platform integrates with existing healthcare systems, including EHRs, fax lines, and payer portals, to automate complex administrative tasks. This includes patient intake, prior authorizations, billing, compliance, and patient outreach. […]
Develop Health is a healthcare AI company that provides an electronic health record (EHR) platform utilizing generative artificial intelligence (AI) to automate benefits verification and prior authorization workflows for healthcare providers. The company’s technology aims to streamline administrative processes for medication access, significantly reducing the time spent on manual form completion—by more than 80%—and improving […]
Health Council is a healthcare AI company that develops AI software for hospitals, physician groups, and research institutes. Their core offering includes medical models and a HIPAA-compliant API, designed to integrate AI into clinical workflows without compromising data control. The company emphasizes secure deployment within a client’s own cloud environment, ensuring data ownership, privacy, and […]
CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform designed to empower radiologists by providing a unified interface for accessing, assessing, integrating, and monitoring AI solutions within their clinical workflows. The platform addresses the challenges healthcare providers face in navigating the fragmented landscape of numerous AI applications by offering a single point of access, data channel, […]
Metomic is a next-generation data security platform that specializes in protecting sensitive data across SaaS, GenAI, and cloud applications. For physicians and healthcare organizations, this means a robust solution to manage and secure patient data within the collaborative software environments commonly used today. The platform offers automated sensitive data discovery, real-time monitoring, and granular access […]