Introducing MuniLM
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Center For Municipal Finance
Establishing MuniLM as a new standard for municipal data extraction, focusing on spatial-financial intelligence, civic data, network analytics.
We specialize in providing cutting-edge municipal finance and bond intelligence. Committed to hyper-granular analytics, MuniLM deploys rigorously fine-tuned vision and language models that offer a vast array of high-fidelity extraction capabilities tailored for deep public market analysis.
We are actively building a comprehensive corpus of historical municipal disclosures. By digitizing entire documents, complex tables, overlapping geospatial boundaries, and project photos, we map the multi-dimensional, networked footprint of public finance—allowing you to extract insights instantly through natural language queries.
Crucially, these features are built for data that demands privacy. Our in-app tools execute these specialized models entirely locally, enabling rigorous due diligence on confidential documents without ever touching a cloud-based service.
Municipal Finance Data To Targeted Overlapping Geographies & Debt Burdens
Moving beyond traditional administrative data, MuniLM anchors municipal debt to the physical world. Our foundational database integrates 65,000 national issuers and 4.4 million CUSIPs with precise spatial intelligence. From mapping 26,994 entities using the Center for Municipal Finance's first-of-its-kind Congressional Districts dataset—to extracting 209,316 CUSIPs from 30,000+ California disclosures (1984-current), we quantify true overlapping geographic debt burdens. We align our models with highly curated property assessments, socio-economic metrics, and tax base data—extracted directly from historical PDFs and enriched by open & proprietary data lakes.

MuniLM: Built for National & Local Insights
30k+
Industry Documents
Historical California municipal bond disclosures, spanning over 40 years, systematically ingested and digitized.
6.1m
Pages Processed
Analyzed using rigorous vision-language models to locate and extract complex layouts, maps, and tabular data.
2.7m
Tables Extracted
Complex financial matrices, overlapping debt schedules, tax base, and pappraisals transformed into pristine and diverse formats.
700k+
Geospatial Training Assets
Historical boundary maps, parcel diagrams, and project photos being utilized to train advanced vision models for georeferencing.
100%
Local & Private Execution
Preliminary Official Statements and sensitive disclosures are processed on-device, ensuring absolute data privacy with zero external API calls.
