Data teams are hard to build.
So we built the one we'd want to hire.
Every company wants to be data-driven. But getting there takes a full team — data engineers, analytics engineers, analysts — plus a stack of expensive, complicated tools that most companies don't have the bandwidth to manage.
That's the problem Orchard was built to solve. We set up the entire data stack, run it, and let your team focus on actually using the data instead of wrestling with the infrastructure underneath it.
Six years and 30+ companies later, we've paired everything we've learned with AI-native tools and workflows. You get a production data stack faster than you could write the job description for your first data hire.
Our clients don't treat us like vendors — they put us on the critical path. We build the workflows their teams rely on every day. For one client, that means the data pipeline responsible for 12% of their total revenue.
Fewer people. More context.
A small team means the person on the call is the person building your pipeline. No account managers relaying messages. No juniors learning on your dime. Every conversation moves the work forward because everyone at Orchard has the full context.
We chose this over growth because we've seen what scaling does to agencies — the work gets worse, the people rotate, and the client pays for the coordination overhead. We'd rather be the best team you've ever worked with than the biggest agency you've ever hired.
We're also not here to implement and disappear. We're more interested in working with businesses for years, learning how they actually work, and building data infrastructure that grows with them. Our average client relationship is over three years. That's not an accident.
Small team. Full stack.
Everyone owns the full stack — from pipeline architecture to the weekly stakeholder sync. That's the point.
Probably debugging something right now.
The one on the Calendly link.
Turns ambiguous questions into dashboards people actually use.
Builds the infrastructure nobody sees and everything depends on.
Let's see if we're a fit.
We'll ask you about your data problems, show you what we'd build first, and tell you honestly if we're the right team for it.
Tell us about your data.
We respond faster than most pipelines refresh.