OpenInference is an open-source platform for observability and evaluation of AI applications. It provides the engineering tools needed to trace, analyze, and understand the performance of machine learning models and generative AI systems. The company openly shares its engineering developments as it builds, inviting collaboration from the development community.
Funding
Funding not disclosed
Founders
Product
Problem
Developers building AI applications often face significant challenges in monitoring, debugging, and evaluating their systems' performance. The lack of standardized observability tooling for the full AI stack makes it difficult to trace issues, assess model quality, and understand system behavior in production environments.
Solution
OpenInference is actively developing an open-source platform that brings structured observability and evaluation capabilities to AI applications. The platform provides tooling that enables developers to trace model inference, analyze system behavior, and evaluate AI outputs in a systematic way. By sharing engineering knowledge and progress openly, OpenInference is building a collaborative ecosystem where developers can contribute to and benefit from standardized AI observability practices. The project focuses on making advanced evaluation and tracing accessible to teams building production AI systems.
Target Audience
The primary audience is AI engineers, machine learning practitioners, and software development teams who need observability, tracing, and evaluation tools for their AI applications.
Features
- Open-source observability framework designed specifically for AI and machine learning applications
- Tracing capabilities for monitoring model behavior and understanding inference pipelines
- Evaluation tooling that helps assess the quality and performance of AI outputs
- Community-driven development with engineering progress shared transparently