We are thrilled to announce that Defog.ai is part of Y Combinator's W23 batch! Being accepted into YC is an incredible milestone for us, and we couldn't be more excited to be part of it.
Today, we are launching early access to Defog - a way for your users to instantly access data and insights on your app, by asking questions in natural language. It’s like ChatGPT for data, embedded in your app.
What we are building
We make it super easy to let your users ask questions in natural language and instantly get data and insights on your app.
Defog embeds an intuitive Q&A-style interface for analytics in your app, and lets users query data in seconds.
Some examples of how companies can use Defog:
Why use Defog?
SaaS founders and product managers spend most of their time on improving their core product. Insights features are rarely a top-of-mind item - even though they increase user stickiness.
Teams tell themselves that they will get to them eventually, but they rarely do. The result is no insights features at all, or a hastily-built dashboard that provides limited insights to users.
How it works
1. Give us the metadata of your database schema (if using SQL), or just unstructured data corpuses (if using APIs or text corpuses)
2. Add our React component or Iframe to your app
3. (optional) set up visual styling for how charts should look on our app
4. Let your users ask questions of the data, and get insights in seconds
We are powered by large language models that can search and visualise both structured data (like SQL databases or data warehouses) and unstructured data (like text in call transcripts).
Built with privacy in mind
We do not compromise on privacy. Our model only needs access to your database schema to work, and not actual data about your customers.
We are thrilled to be part of the YC community and can’t wait for you to try Defog! If you have any questions or feedback, we’d love to hear from you. Our email is founders [at] defog.ai. We are @defogdata on Twitter and Defog.ai on LinkedIn.
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