A comprehensive framework for open, transparent, and accountable AI development, fully aligned with the Model Openness Framework (MOF) by LF AI & Data - Generative AI Commons.
Explore each dimension of our transparency and accountability framework
Core transparency in training, data, and model artifacts
Risk evaluation, accountability structures, and bias mitigation
Supply chain transparency, monitoring, and continuous improvement
The OpenAGI philosophy represents a commitment to transparency, safety, and accountability in AI development. By opening every aspect of the AI lifecycle—from training and data governance to safety evaluation, bias mitigation, supply chain transparency, and continuous monitoring—we enable reproducibility, foster innovation, build trust, and ensure responsible AI deployment that serves all stakeholders equitably.
We co-create enterprise AI architecture, develop cutting-edge agentic AI patterns, advance LLMOps methodologies, and engineer innovative testing frameworks for next-generation AI products with our research-centric approach.
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