Turning data into decisions
We build AI-native analytics software so every team can get trusted answers from their data — instantly.
Our story
We kept seeing the same pattern: teams were investing heavily in data — tools, pipelines, dashboards — but the last mile was still broken. Business users waited days for a simple chart. Analysts were buried in ad-hoc requests. Every new question meant another ticket, another dashboard, another round of “can you slice this by region?”
So we built Atlas — an AI-powered analytics platform that connects to your existing databases, auto-generates a semantic layer from your schema, and lets you refine it with a visual builder or an AI assistant — no manual modelling required. Ask a question in plain English and get validated, governed answers — not hallucinated ones.
The result: business teams get self-serve analytics they can trust, and data teams get their time back for the hard problems — modelling, quality, and strategy.
Built by a team experienced in shipping enterprise SaaS. Focused on the fundamentals that earn trust: security, reliability, and governance.
What we believe
Principles that shape how we think, build, and make decisions.
Self-serve
Everyone gets answers easily, without waiting on an analyst.
Accuracy
A governed semantic layer ensures every metric means the same thing, every time.
Unified data access
Teams do not need a data warehouse rebuild to unify data across systems and files.
Security by default
Security is built in by design, with advanced controls available by plan.