A B2B trade publication with years of domain expertise and a trusted audience — but no data product. Their revenue came from traditional media. They knew there was more value in the industry data, but no infrastructure to capture it.
A government agency publishes structured data daily as PDFs — valuable industry intelligence that's hard to access and impossible to analyze at scale. The publication knew the data mattered to their audience but had no way to collect it, structure it, or monetize it.
Building a data product from scratch meant hiring engineers, designing a platform, and creating a new sales channel. For a media company, that's a heavy lift.
A data product that scrapes government PDFs on a daily cron job, stores and structures the data, and publishes it as an interactive dashboard and application. Users can explore data across various product types in the industry.
The system runs automatically. Every day, new government data gets ingested, processed, and added to the platform. No manual work required from the editorial team — they keep publishing the way they always have.
We built a waitlist to gauge demand, then launched the product. The data stays current automatically via daily ingestion, and the platform gets more valuable as the historical dataset grows.
The publication turned freely available government data into a paid product — because the value isn't in the data itself, it's in collecting, structuring, and making it accessible. Every day the system runs, the dataset grows, and the product becomes harder to replicate.
Automated reporting across ~50 client accounts. 13 hours/week freed for sales and strategy.
Music / Entertainment3-tool creative hub. 10–15 hours/week saved on briefing and Slack back-and-forth.
SaaS / TechnologyMulti-tenant architecture, Stripe billing, paying customers from day one.
Every one of our case studies started with a 30-minute conversation. We'll figure out together where AI actually saves you hours — and whether the AI Opportunity Assessment is the right next step.
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