At Atomico Labs, we’re obsessed with boiling ideas down to their atomic essence—finding the core problem worth solving and building from there. That’s exactly how Daita was born.
Daita isn’t just a project. It’s a quiet revolution in how humans interact with data.
The Problem
We live in a world where data is everywhere—but working with it is still painfully broken. Business users depend on slow, expensive BI tools that never quite deliver what they need. Developers and analysts are buried in dashboards, SQL queries, and brittle pipelines that can’t scale with the speed of ideas.
Data is supposed to empower us. Instead, it slows us down.
The Purpose
Daita exists to restore flow between people and the insights hidden in their data.
It’s built to replace traditional BI stacks with something radically better: a fast, local-first app that connects directly to your data sources, helps you generate and refine dashboards with the help of AI, and syncs only the essential, sanitized outputs to the cloud for secure sharing.
Think of it as Cursor for data—but with a deeply intelligent engine under the hood.
The Vision
We’re building Daita as a suite of products:
- Daita Studio: A downloadable app for creators who work with data—connect sources, generate queries and visuals using AI, and build beautiful dashboards in seconds.
- Daita Hub: A server-side platform for ingesting data from APIs and databases, managing syncs, and powering mobile/web viewer dashboards.
- Daita Manager: A pro-grade tool for monitoring and operating databases, included free with Daita Hub.
Each tool is powerful on its own. Together, they form a new data OS—local-first, AI-native, and built for velocity.
The Process
Daita wasn’t designed in a vacuum. It was forged in the fires of frustration—our own, and our partners’. We started by working backwards from the dream experience: a user connecting to a database, asking a question in natural language, and watching it give back data visualizations.
Then we tackled the hard parts:
- Making data connection seamless and secure.
- Storing credentials locally, not in the cloud.
- Running all queries locally.
- Training the AI agent to understand schemas, optimize queries, and adapt visuals automatically.
- Building a Git-like system to version dashboards and collaborate at scale.
Throughout, we’ve prioritized performance, privacy, and elegance. The tools we build should feel like magic—not because they hide complexity, but because they’ve distilled it.
Why It Matters
We believe the future of software is personal, portable, and powerful—and the Daita team embodies all of that.
It’s not another cloud dashboard tool. It’s a rethink of what it means to work with data—faster, smarter, and closer to the source. Built for indie makers and enterprise teams alike.
This is Daita’s atomic idea:
Data, in flow.
