Built by operators who lived this problem.
We’re CFOs, COOs, and data experts who spent years manually reconciling HubSpot, Xero, Stripe, and Intercom — until we got tired of being the integration layer.
We ran B2B SaaS companies. We had HubSpot for sales, Xero for finance, Stripe for billing, Intercom for support. Five, ten, fifteen tools. All holding a piece of the truth, none holding all of it.
Every board meeting, someone asked the same question: “What’s our real churn rate?” Sales said one number. Finance said another. Support had a third. Not because anyone was wrong — because the systems disagreed and nobody had time to reconcile them.
We did what everyone does. Hired analysts. Built spreadsheets. Tried Zapier, Segment, reverse ETL tools, integration platforms. Some helped at the edges. Nothing stuck. The spreadsheets always came back.
Then AI arrived, and everything changed. Not because AI magically solved data quality — it didn’t. But because it revealed the real problem with painful clarity: AI is only as good as the data it can see. The most powerful reasoning engine in the world looking at three different versions of “Acme Corp” across three systems will give you three different answers.
So we stopped working around the problem and started solving it. We built Tidyr. Not another dashboard. Not another integration tool. A platform that provisions a warehouse you own, unifies your data with AI, and applies your business logic — then puts dashboards, plain-language answers, and AI agents on top. You have a conversation with your data. And because the layer speaks MCP, Claude and your own AI tools get the same clean, governed answers.
We built it for people like us — operators who need answers, not more tools.
What we believe.
Not aspirational values on a poster. The decisions we make every day building Tidyr.
Operators first
We build for people who run businesses, not data engineers. If it requires SQL or a data team to use, we haven't done our job.
Truth over dashboards
One number you can trust beats twelve charts that disagree. When systems tell different stories, we reconcile them — we don't just display both.
Your context matters
Clean data without business logic is just numbers. Your definition of churn, your segments, your rules — that's what makes data useful.
Security is not optional
We handle financial data, customer records, and business intelligence. Encryption, tenant isolation, and access controls were built day one — not bolted on after.
Get in touch.
Remote-first team. Always reachable.
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