Arize AI

Arize AI

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A ML observability platform enabling ML practitioners to better detect and diagnose model issues. Learn more

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Revenues, earnings & profits over time
USD2020202120222023
Revenues0000000000000000
% growth-157 %215 %59 %
EBITDA0000000000000000
Profit0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000
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round
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$38.0m

Series B
Total Funding000k

Recent News about Arize AI

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Arize.com is a startup that operates in the artificial intelligence (AI) sector, providing a platform for AI observability and Language Model (LLM) evaluation. The company's primary function is to monitor, troubleshoot, and evaluate machine learning models, including generative models, Natural Language Processing (NLP), computer vision, and recommender models.

Arize's platform is designed to serve top AI companies, offering them analytics and workflows to identify and resolve issues in their AI models. This helps these companies to continuously improve the performance of their AI systems. The platform provides tools for troubleshooting various aspects of AI models, such as LLM traces and spans, and retrieval (RAG).

The company's business model revolves around providing a service to AI companies that need to ensure their AI models are performing optimally. Arize makes money by charging these companies for access to its platform and the tools it provides.

Arize's platform also includes features like task-based LLM evaluations, which allow users to evaluate tasks such as hallucination, relevance, Q&A results, and reference link citation checks. It also provides visibility into where a conversational and agent-based workflow broke across different span types.

The platform also offers intuitive tools to visualize query embeddings alongside knowledge base embeddings for RAG Analysis. This helps users to quickly identify missing context in their knowledge base, when irrelevant context is retrieved, or when hallucinations occur.

In summary, Arize.com is a startup that provides a platform for AI observability and LLM evaluation, serving top AI companies and helping them to improve the performance of their AI models.

Keywords: AI Observability, LLM Evaluation, Machine Learning, Troubleshooting, Performance Improvement, Task-Based Evaluations, RAG Analysis, AI Companies, Startup, Business Model.

Tech stack

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