Capabilities
From custom AI applications and workflow automation to forecasting, stress testing, and spatial analysis, each engagement is tailored to the available data, timeline, intended use, and review requirements.
Purpose-built AI systems
Dearmon Analytics designs generative AI solutions around a defined workflow, data environment, and decision. Systems can combine large language models, document and image processing, analytics, dashboards, and automation, with traceable outputs and human review built into the operating design.
Typical capabilities include
Organizations with a defined workflow that could benefit from intelligent intake, summarization, classification, knowledge retrieval, decision support, a custom AI application, or a browser-based decision dashboard.
Public finance
Forecasts incorporate local economic structure, seasonality, market conditions, and explicit uncertainty. Deliverables are aligned with fiscal calendars and reporting needs.
Typical capabilities include
Cities, counties, transportation agencies, public authorities, and organizations whose budgets depend on economic activity.
Financial risk
Institution-specific stress testing links historical macroeconomic and portfolio series to baseline and adverse scenarios, loss estimates, and balance-sheet performance. Regression coefficients can be reviewed for signs consistent with economic theory alongside statistical diagnostics, backtesting, benchmarking, and documentation.
Typical capabilities include
Community and regional financial institutions seeking independent model development, review, or recurring analytical support.
Location intelligence
Property and housing outcomes depend on location. Spatial models incorporate neighborhood structure, accessibility, nearby activity, and submarket conditions alongside conventional property characteristics.
Typical capabilities include
Assessors, local governments, housing organizations, researchers, developers, and institutions working with property-level data.
Engagement formats
A defined question, analysis, and final deliverable.
Scheduled system updates, monitoring, reporting, forecasting, or model maintenance.
A second opinion on methods, assumptions, results, or an existing system.
Direct access to senior analytical expertise as needs develop.
Contact Dearmon Analytics