DGi

DGi runs through a single API key, so you can drop its analysis into your own product and let your users ask about their data inside your interface. There's nothing to install for the end client. This AI analytics API is built around external clients hitting an endpoint, not around a single company tool.

You ask a question, and DGi answers it by writing and running Python. It loads your file, inspects the columns, and shows the script it used, so you can read and reuse the code rather than trust a black box. That's the part that separates it from a plain chatbot.

DGi plugs into PostgreSQL, MySQL, BigQuery, Snowflake, and AWS S3, and it takes CSV and Excel uploads as well. That means most teams can start without copying data into a new store. You keep your existing setup and point the agent at it.

The scheduler lets you describe a cadence, like every Monday at 9 AM, and turns it into a cron job that runs on its own. Real-time execution and auto-retry mean a failed run doesn't just disappear. For recurring reports, that saves you from babysitting scripts.

Ask for a BI dashboard built from an uploaded CSV, and DGi assembles a responsive, export-ready view with live updates. The result behaves like a small app, not a static chart. It's a fast way to turn a one-off file into something people can check again.

Beyond your own data, DGi can navigate websites, extract content, and run multi-step scraping tasks through the same API. It handles pages that resist a simple fetch. Competitive research and list building get the same chat-style prompt as everything else.

Credentials are protected with double-envelope encryption: AES-256 at rest and TLS 1.3 in transit, with a zero-knowledge design where your data stays in your own environment. For teams that can't hand data to a third party, that's the deciding feature. You connect, and the data doesn't move.