Real People.
Measurable Impact.
Documented impact cases with measurable outcomes across three deployment contexts.
Stories from the Field
Three personas. Three pillars. Three outcomes.
Maria Santos
CivicRAG — Public Intelligence EngineThe situation: The Oakland City Budget FY2025 was released 10 days before the public comment deadline. 340 pages of dense fiscal language, department codes, and policy footnotes. Maria had three evenings to find the answers her neighbourhood coalition needed.
Maria opened CivicRAG and selected the Budget Knowledge Base, which had already indexed the 340-page document.
"How much did the Department of Transportation budget increase compared to last year, and where did the new funding go?"
CivicRAG retrieved the 5 most relevant paragraphs across budget sections 4B, 7A, and Appendix C — with page citations.
A 3-sentence answer with exact dollar figures, year-over-year comparison, and the specific capital projects funded — streamed in 0.8 seconds.
Maria quoted the AI-surfaced data verbatim at the public hearing, citing the specific budget pages. The city council noted the accuracy.
"I've been doing community organising for 12 years. I've never been able to walk into a budget hearing and cite the actual document like that. It levelled the playing field."
Where This Platform Fits
Each pillar is independently deployable. Mix and match based on your organisation's needs and existing infrastructure.
Deploy CivicRAG over your city's open data portal. Citizens query budgets, zoning, permits, and hearing records in plain language. No PII collected. Compliant with FOIA and public records law.
Replace your centralised GPU cluster with the AI Workload Optimizer. Batch embedding, LLM inference, and ETL pipelines routed to lowest-cost edge nodes. Pay per request, not per hour.
Deploy EduEdge for your graduate cohort. FERPA-compliant architecture — no student queries stored, no PII at rest. Works with any institutional knowledge base.
Deploy across jurisdictions without data residency concerns. Each query processed and discarded at the nearest PoP. Supports 100+ languages via multilingual embedding models.
Ready to deploy?
Explore the live demos for each pillar, dive into the architecture documentation, or read the technical knowledge base.