Private Data Exploration — Analyze Sensitive Data Locally

Some data shouldn’t touch the cloud. Medical records, financial statements, employee data, customer PII — you need to analyze it, but you also need it to stay private. PondPilot lets you explore data with SQL while keeping everything local.

Your Browser Is the Database

PondPilot runs DuckDB as WebAssembly in your browser. Open a file, run SQL, get results — all within your browser tab. No server receives your data. No API call carries your query. No log captures your results.

Use Cases for Private Exploration

HR data review: Query employee compensation data, performance metrics, or org structures without uploading to a third-party analytics tool.

Medical data analysis: Researchers and clinicians can explore patient datasets locally, avoiding the compliance complexity of cloud processing.

Legal discovery: Attorneys can query document metadata and case data without sending it through external services.

Financial auditing: Analyze transaction records, account balances, and financial statements with SQL. No data leaves your audit workstation.

Verify the Privacy Claims

PondPilot is open source. Your infosec team can:

  1. Review the source code for network calls
  2. Monitor browser network traffic during use
  3. Confirm zero outbound data requests

Trust, but verify. We built PondPilot so verification is easy.

More Than a Viewer

This isn’t a file viewer with a privacy label. You get real SQL capabilities — joins across multiple files, aggregations, window functions, CTEs, and full DuckDB syntax. Export results to CSV when you need to share findings.

Works Offline

For maximum privacy, install PondPilot as a PWA and disconnect from the internet. Analyze data on a fully air-gapped machine.

Explore Privately

Open PondPilot. No account, no tracking, no data collection.