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|Coming Soon... Drop In Official Statement (OS) For Analysis
MuniLM OS Corpus
Analysis/Extraction Type

|

|Coming Soon... Drop In Official Statement (OS) For Analysis
MuniLM OS Corpus
Analysis/Extraction Type

|

|Coming Soon... Drop In Official Statement (OS) For Analysis
MuniLM OS Corpus
Analysis/Extraction Type

Introducing MuniLM

Powered by University of Chicago

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.

[ 01 ]

High-Fidelity Digitization

[ 01 ]

High-Fidelity Digitization

[ 02 ]

Geospatial Intelligence

[ 02 ]

Geospatial Intelligence

[ 03 ]

Financial & Municipal Network Graphs

[ 03 ]

Financial & Municipal Network Graphs

[ 04 ]

Privacy & Compliance

[ 04 ]

Privacy & Compliance

Current Municipal Intelligence Coverage

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.

Municipal

Innovation

Municipal

Innovation

MuniLM: Built for National & Local Insights

Granular Extraction,
Machine-Ready Standardization

We programmatically extract the hyper-local data buried inside Official Statements. MuniLM has processed millions of pages to standardize complex tables—from overlapping debt and taxpayer concentration to real estate appraisals—exporting entire historical batches into publication-ready XML, JSON, and Markdown formats.

Spatial Intelligence, Network Sciences,
For Hyper-Local Risk & Opportunity Mapping

Municipal debt is tied to the physical world. We integrate extracted document data with open civic platforms (CKAN, Socrata, ArcGIS) along with proprietary and highly curated data to map special purpose districts down to the parcel level, allowing users to visualize CUSIP lineages and place-based indicators to assist with due diligence on material risk, as well as uncover high impact investments, including identification of New Market Tax Credit and Opportunity Zone-based opportunities.

80x

Carbon footprint

We actively embrace new ideas and technologies, positioning ourselves at the forefront of industry advancements

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.

Get High Value Data Tables of Any Kind From Municipal Finance Documents

Explore real-world use cases of data table extraction from municipal finance documents.

Our extraction models are engineered to capture this diversity—digitizing parcel-by-parcel property assessments and overlapping debt matrices for land-secured bonds, alongside retail sales breakdowns, agricultural output rankings, and enterprise utility metrics for local governments. By parsing these complex, borderless tables, MuniLM delivers the granular ground truth required for rigorous, place-based investment research.

Founded as a
Public Benefit Coporation.

Powered by the
Center for Municipal Finance,
University of Chicago.