PublicBenefit prepares data for AI.
We clean, annotate, and organize public data so it can train machine learning systems. Our goal is to make national datasets easy to connect and easy to use in regional initiatives.
PublicBenefit builds support tools.
We design tools that streamline reporting, compliance, and collaboration across the public good sector. The goal is to reduce manual work so organizations can stay focused on their mission.
CommonsPARSE transforms fragmented public data into machine-ready datasets tailored to regional public good systems. It enables scalable AI applications by providing domain-specific inputs that keep models running accurately and efficiently.
CommonsFLOW tools are built on top of structured data from CommonsPARSE, making them continuously adaptable as the dataset evolves. They support key functions across the public good sector and are maintained to ensure long-term reliability.
Discover how we’re helping organizations turn shared knowledge into action. We do this by connecting regional efforts, unlocking the value of critical information, and building AI tools that support informed, confident, and shared decision-making.
Gorham Township, Ontario, Canada
Anishinaabe Nation Traditional Territory
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