Case studies/Civi Digital

GovTech

Civi Digital

Automated what competitors sold at $20K per month on two-year contracts. Disrupted the market.

ClientCivi Digital
IndustryGovTech
DurationOngoing
Year2023

The challenge

Political data intelligence is one of the most labor-intensive data products on the market. Competitors charged $20,000 a month on two-year contracts because teams of researchers had to manually track politicians across hundreds of sources. The data went stale fast and refreshing it cost a fortune.

What we built

1

Automated crawling and scraping

A distributed crawling system that discovers and scrapes from hundreds of sources: government sites, news outlets, social media, legislative databases, public records.

2

NLP neural network for interpretation

A custom model that reads political text at scale and extracts entities, relationships, positions, voting records, and policy stances from unstructured content.

3

Graph traversal algorithms

Traversal logic that connects politicians, organizations, donors, legislation, and events into a live knowledge graph of political influence.

4

Automated structuring and delivery

Clean, queryable profiles updated continuously, delivered automatically, always current.

ROI

Results

10×cheaper than incumbent competitors
$2K/mopricing vs. $20K/mo industry standard
Continuousdata freshness vs. quarterly refresh
Highermargins than competitors at 1/10 the price

Outcome

By automating what competitors do with teams of researchers, Civi reset the pricing floor of the political data market. Organizations that could not afford political data intelligence now have access to better data than lobbyists pay 10× for.

Technologies

PythonFastAPICustom NLP neural networksDistributed scrapingGraph algorithmsPostgreSQLReactNext.js

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