Automations that change outcomes.
Runs inside what you already use.
What we do
There are two levels, and you choose where we start.
AI agents run the content factory that fills your channels, send the outbound that starts conversations, and build the pages buyers find when they search. You take the calls that come back.
All of your company's data, unified in one place you own, so everything built on top of it works from the same numbers.
We build each team of agents and they run autonomously, reporting real-time results into a custom dashboard. The leads and the channel stay yours.
A team of AI agents that runs your lead generation and books meetings onto your calendar.
How it works
A team of AI agents that runs your entire social presence on a clone of your face and voice.
How it works
Search
Search is part of what we build for you. We publish pages that answer the questions your buyers already type into Google, so your name comes up when they look and when they ask an AI.
Book a 30-minute call and we will show you what this looks like in your business.
Book a callInfrastructure
We bring all of your company's data together in one place that you own, so every automation and every report works from the same numbers.
Education
Tailored coursework, hands-on workshops, and one-on-one coaching bring your whole staff to AI fluency, until AI is simply how your team does the job.
Four things companies need. We provide all four.
| Consultancies | Automation firms | AI platforms | Data Jockey | |
|---|---|---|---|---|
| Trains your team | No | No | No | Yes |
| Builds your automations | Yes | Yes | No | Yes |
| Runs on your own systems | No | No | No | Yes |
| You own it | No | Sometimes | No | Yes |
Trains your team
Builds your automations
Runs on your own systems
You own it
The library
Jack Dorsey and Roelof Botha on Block's flat-org redesign after roughly 4,000 of 10,000 roles were retired. The most-cited proof point for service-as-software inside a public company.
Read source2.3M conversations, resolution time from 11 minutes to under 2, projected $40M of 2024 profit improvement. The operator press release every European AI-restructure deck cites first.
Read sourceMasayoshi Son's ten-year thesis: ASI leaders capture ~5% of global GDP at near-50% margins. Cristal Intelligence is already running across 2,500 internal SoftBank business systems before any external rollout.
Read sourceBased in Madison, Wisconsin, Data Jockey turns organizations AI-native through education and automations, serving companies across insurance, manufacturing, distribution, and professional services.
The principals
Lorenzo studied economics at Maastricht University. He built back-office automations for Italian operating companies, giving him practical insight into how businesses function on the ground. This experience shapes the marketing and go-to-market strategies he brings to Data Jockey. Lorenzo met the team during his exchange semester at the University of Wisconsin-Madison.
Before Data Jockey, Sean ran sales, marketing, and operations at a startup, where he led automations across those departments. Convinced that every company will eventually need to become AI-native, he started Data Jockey to help drive that transition. He now leads sales and builds automated tools for customer acquisition.
Founded 2026 · Madison, Wisconsin · hello@datajockey.us
Skip ahead
We work with businesses of all shapes and sizes.
There is no pitch. We spend the call understanding your pain points, whether that means responsible AI adoption or quantifying where automation will pay off, and providing a plan of attack.