Datayaki for Web

Datayaki — a simpler path to insights

Datayaki is a web-based analytics platform that lets you explore data by asking questions in plain English. It removes the need to write SQL or build Excel macros, making analysis approachable for users with any level of technical experience. The service can run computations either in the browser or on a backend, and it focuses on metadata and structure rather than exposing raw contents, helping preserve privacy.

Core capabilities

• Natural-language querying so you can request analyses using everyday wording instead of code.
• Explainable AI that clarifies how a result was reached, increasing transparency and user confidence.
• Options to provide guidance to the AI to refine answers and improve result accuracy.
• Flexible processing that works locally in your browser or via a server-side workflow depending on your needs.

Supported formats and integrations

• Native handling of multi-sheet Excel workbooks (XLS/XLSX) and CSV files for combined spreadsheet analysis.
• Connectors for enterprise databases such as Snowflake, Postgres, and Firebase to pull data directly.
• Compatibility with common SQL-based sources as well as flat-file imports like CSV for one-off analyses.

Privacy, security, and collaboration

Datayaki emphasizes secure collaboration: analyses and dashboards can be shared with peers using end-to-end encryption so only authorized participants can view them. Its design minimizes exposure of raw data by concentrating on structure and schema during processing.

Suggested alternative

If you need a different kind of AI assistance, consider TeamsMaestro — a subscription-enabled tool that focuses on capturing and summarizing meeting notes with AI, offered as a free tier for basic use.