CardinalTechnology

Services

What we build, and how we work.

We take on a small number of projects at a time. That means your project gets real attention, not a junior developer working from a template.


Custom Web Applications

End-to-end development of internal tools, public-facing apps, and data platforms.

We design, build, and deploy web applications tailored to your specific workflow. This includes the data model, backend logic, UI, and infrastructure — delivered as a working system, not a set of components you have to assemble.

Examples

  • Budget analysis and reporting tools
  • CRM and constituent management platforms
  • Intake and case management systems
  • Workflow automation applications

Data Visualization & Analytics

Interactive dashboards and analysis tools that surface what matters from complex data.

Raw data is rarely useful on its own. We build visualization layers — Sankey diagrams, multi-year trend charts, drill-down tables — that let decision-makers explore data at the pace of thought, without needing a data analyst to run every query.

Examples

  • Multi-year budget flow visualizations
  • Voter and demographic trend dashboards
  • Campaign finance explorers
  • Operational performance monitors

Government & Civic Technology

Purpose-built tools for legislatures, campaigns, and public-sector teams.

Government work has specific constraints: public records requirements, constituent privacy, budget cycles, and the reality that users are often non-technical. We've built for county governments and political organizations and understand how to design for these environments.

Examples

  • Legislature budget analysis tools
  • Voter contact and canvassing systems
  • FEC compliance and finance tracking
  • Constituent outreach platforms

Data Engineering & ETL

Pipelines that clean, transform, and load data from messy sources into something usable.

Most organizations have data locked in Excel files, legacy exports, or inconsistent databases. We build ETL pipelines — often using DuckDB and Parquet — that normalize and surface that data for analysis or application use, without requiring a full data warehouse.

Examples

  • Excel/CSV to Parquet transformation
  • Voter file processing at county scale
  • FEC bulk data normalization
  • Multi-source financial data aggregation

How an engagement works

01

Discovery

We start by understanding the problem — not just the feature list. What decisions need to be made? What data exists? Who uses the tool and how?

02

Scope & Proposal

A concise written scope: what we'll build, what it will do, timeline, and fixed price. No ambiguity about what you're paying for.

03

Build

We build incrementally and show you working software early and often. You stay informed without needing to manage the project.

04

Deploy & Support

We handle deployment and provide post-launch support. Documentation, training, and ongoing maintenance are available as needed.

Ready to scope a project?

Tell us what you're trying to build. We'll tell you if we're the right fit.

Get In Touch