Stop worrying about messy data.

No data is off the table. Calls, recordings, video, documents, years of message history, whatever state it's in — unstructured data is the only kind we work with — we turn it into something you can search, compare, and act on. Here's exactly how.

Three steps from mess to answers

Build your tools around your team, not your team around the tools.

[ ingest: calls, video, files ]
01

Ingest & normalize

We take your data in whatever state it's in: recorded calls, video, audio, documents, years of message history. Then we pull all of it into one place.

Audio and video get transcribed. Everything gets normalized, so a call and a document and a chat thread can finally sit side by side and be treated the same way.

Recorded callsVideo & audioDocumentsMessage historyTranscription
[ search: compare across formats ]
02

Make it searchable

You set the rules for how your data should be organized and classified. We build the pipeline that applies your judgment across everything, fast and consistently.

The result is instant search across data no person could read through in a lifetime, where a phone call can be compared to a message can be compared to a document.

Your taxonomyClassification at scaleCross-format searchCompare & rank
[ tools: saved searches, alerts, exports ]
03

Build the tools

Once your data is organized, we build whatever you need on top of it, shaped to how you actually work.

Alerts that watch for a specific kind of event. Searches you can save and export in exactly the format you need. Comparisons and insights tailored to your workflow. It's yours.

Saved searchesCustom alertsExports in your formatTailored views
Why it holds up

What nothing off-the-shelf can do.

ChatGPT and Copilot fall apart at the scale and the formats we're built for. These are the differences that make the work defensible.

01 We work at a volume nothing off-the-shelf can touch: years of records, hundreds of hours of audio.
02 We make the unsearchable searchable, including the data that isn't text. Calls and video become first-class, searchable records.
03 Your data never leaves. Everything is processed on our own machines, on-premise, and nothing is shipped to a third-party cloud.
04 You don't have to organize your data first. That cleanup is the part we do, and the reason most teams never start.
05 You set the rules; we build the system that applies your judgment at a scale no person could.
06 We can prove it works: we measure accuracy on your actual data and give you a concrete accuracy score.
Next step

Hand us the mess.

Tell us what you can't find today. We'll look at your actual data and tell you, honestly, whether we're the right fit. Sprucebird is a data engineering studio in Spokane, WA — everything we build runs on-premise, on your machines.

Scope a project →