Create consistent benchmarks for measuring AI agents through the same lens that adopters use, enabling direct comparisons across solutions.
Enable advancement of trustworthy AI by providing clear, objective measurements that support informed adoption decisions.
Replace closed, vendor-specific metrics with open, reproducible evaluations that foster genuine trust in AI agent capabilities.
Cultivate a community of experts contributing specialized knowledge to create comprehensive evaluation frameworks.
We bring together industry experts, researchers, and developers committed to creating repeatable, transparent evaluation methodologies for AI agents.
Our independence ensures evaluations remain unbiased and serve the broader AI community rather than specific vendors or platforms.
Our goal is to develop comprehensive evaluation tools that can assess, compare, and improve AI agents across all industries and use cases, creating a foundation for responsible advancement.
As dozens of agent types emerge, comparing their performance has become increasingly difficult without standardized evaluation criteria.
Current methods rely on anecdotal success stories or closed, proprietary metrics that can't be independently verified.
By establishing open benchmarking as essential infrastructure for the AI agent era, Open Eval creates a level playing field where performance claims can be objectively verified and compared.
Ensuring all benchmarks consider ethical implications, fairness, and potential harms in how agents are assessed.
Creating evaluation frameworks that work across all agent types regardless of their underlying architecture or provider.
Designing evaluations that can be independently reproduced to verify results and build confidence in findings.
Leveraging diverse expertise from across the AI ecosystem to develop comprehensive, relevant benchmarks.
Making methodologies, tools, and results openly accessible to foster transparency and collaboration.
Help create rigorous, relevant benchmarks that accurately measure AI agent performance across diverse scenarios and use cases.
Develop clear, comprehensive guides that make our evaluation frameworks accessible to researchers, developers, and adopters.
Grow our network of contributors and help foster productive collaboration between industry experts, researchers, and developers.
Design meaningful metrics and effective reporting methods that communicate evaluation results clearly to various stakeholders.
Reach out to volunteers@openevaluation.org with your background and areas of interest. We welcome contributors at all experience levels who are passionate about transparent AI evaluation.
While we need industry experts to partner with to evaluate agents, we equally value contributions in documentation, product and project management, and community building. If you’re passionate about creating transparent evaluations for AI, we have a place for you!
Our commitment to open frameworks ensures no single organization controls Open Evaluation's direction. All evaluations follow transparent processes with input from diverse stakeholders across the AI community.
Absolutely. We evaluate all types of AI agents, including commercial offerings. Our agent-agnostic approach ensures fair assessment regardless of whether an agent is open source or proprietary.
Have an agentic solution you'd like evaluated? Contact linda@openevaluation.org with details about your product and use case.
Establishing transparent, reproducible standards to measure AI agent performance across industries and foster trustworthy adoption.