Near deterministic no-code data engineering & analytics. All the power of Business Intelligence with zero onboarding and friction. Have a full view of your data with no hassle.
Current Status
We just started building around 2 months ago. The core AI is ready to go, we have a functional demo/mvp that we plan on rolling out for user testing within the next few weeks. It's still early on but we're seeing promising results with our core technologies and LLM modifications.
Problem or Opportunity
BI tools require too much onboarding, too much domain specific knowledge. Oftentimes end users never learn dashboard/metrics they asked for, which wastes time and money. Nowadays, everyone is a data user, technical and non-technical alike: BI tools were not desgined for this dilemma. More inefficiencies are found with ETL and data engineering teams vs analytics and business intelligence. BI tools aren't suited to handle ETL, so there's often separate tooling for each, resulting in more communication errors between data teams and analytics, constantly scrambling to connect data sources
Solution (product or service)
Translate natural language to data analytics code. Each insight or measure stores the final value, but also the natural language prompt and code used to derive it. This makes it super quick to generate insights, across all your data source, with both descriptions understandable by non-technical users, and accuracy verifiable by technical ones. Because it’s purely returning executable code, it’s efficient across millions and millions of rows, and can handle ETL tasks. It’s the ease of GPT’s with the power and structuredness of data analytics and business intelligence.
Business model
Enterprise subscription model. Primary targets are enterprises, corporations, medium-sized companies, looking for an alternative, cheaper, zero vendor lock, zero onboarding BI solution.
Subscription pricing based on number of users, server size, and even option for self-hosted LLM.
