Data isn't safe in the cloud – how we built Data.olllo for offline analysis

1 pointsolllo7mo ago0 comments

Many teams struggle with sharing sensitive datasets with cloud services, risking leaks, compliance violations, or accidental exposure. Even when using “secure” cloud platforms, you’re trusting third parties with your company’s intellectual property, financials, or research data.

We built Data.olllo to solve this problem: a local-first, fully offline data analysis tool that lets you explore, filter, and visualize massive datasets — 100GB+ CSV files included — without ever uploading a single row to the cloud.

Key features: • 100% offline: No cloud, no servers, no risk of third-party exposure. • GPU-accelerated: Analyze huge datasets quickly without Excel crashing. • No coding needed: A no-code interface that works for teams of mixed skill levels. • Privacy-first AI: Summarize, query, and visualize data locally using AI, without sending it anywhere. • Supports all major formats: CSV, Excel, HDF5, and more.

We realized that privacy isn’t just a checkbox — it’s a real constraint for many teams. Data.olllo makes it possible to work with large, complex datasets safely and efficiently, all on your local machine.