Vision
PIADE curates and licenses high quality, rights-respecting datasets for public interest AI—civic services, accessibility, education—so small teams can build useful models without legal risk. Sponsors grow an ethical AI commons with transparent provenance and measurable social value.
Problem
Teams struggle to find datasets that are both useful and clearly licensed; documentation is inconsistent; and sensitive information is hard to detect. As a result, many civic AI ideas stall at procurement or legal review, and small groups are excluded from innovation.
Solution
Cosolvent packages datasets with usage terms, documentation, and example notebooks. LLM+RAG lets users upload policy PDFs, consent forms, and schema notes and ask “does this dataset permit non-commercial derivative models?” with citations. ClientSynth simulates adoption across use cases (e.g., accessibility tools), giving sponsors signals about demand and impact before funding expansions.
Business Model
Revenue includes curation subscriptions and license brokerage. Philanthropic and public sponsors can underwrite open-access cohorts in targeted domains, tracked by outcome metrics like deployments, accessibility improvements, or time saved for constituents.