Data access is still broken.
Not technically. Humanly.
The people who know their data best are still the last ones to get their hands on it.
I spent years watching the same pattern. A team has a data problem. They know exactly what needs to happen. They can't do it themselves. They file a ticket. They wait. An engineer builds it weeks later. By then, the question has changed.
The tools that existed made this worse. Enterprise platforms costing six figures and requiring certification. Desktop tools that couldn't scale past one laptop. Spreadsheets that broke at a million rows. AI tools promising magic but unable to show their work.
Mammoth started as one conviction: the person with the data problem should be the one who solves it. The actual problem, with real safeguards, at real scale — without writing code or waiting for IT.
We founded the company in London in 2017. The first version was rough. The current version is the product I wish had existed ten years ago.
The distance between question and answer is everything.
Most data tools add steps to that distance — tickets, queues, specialists, handoffs. Mammoth removes them. The person with the question builds the answer. The feedback loop collapses. And when that happens across every team, the organization doesn't just save time — it decides faster.
Lagom — just the right amount.
Not too much, not too little. Every capability exists because we've seen the problem it solves. The platform is deliberately restrained — powerful where it matters, quiet where it doesn't. Every step visible. Every pipeline auditable. The work is always shown.
Small. Distributed across London, Lisbon, and India. Engineers, not a sales army.