Power BI, Tableau, Looker — these tools assume you have a data team to build the models and a controller with time to interpret them. Companies between $5M and $500M revenue have neither. They have a CFO, a controller, and a monthly close that takes four days. We built Pariom to be the analyst they don't have the budget to hire.
Power BI is built around human-defined semantic models. Refactoring to 'AI defines the model' is a rewrite of a product 25,000 companies depend on. Incumbents can't ship it without breaking what they already have.
Power BI sells seats. An autonomous analyst has no users in the seat sense — its consumer is a CFO who never logs in. Seat pricing breaks. Incumbents can't adopt a model that cannibalizes their existing revenue.
Tableau and Power BI rely on a $20B implementation partner economy. AI-native tools that install in 30 minutes burn that economy down. The incumbents can't ship something that fires their channel.
Pariom is bootstrapped. Built by a solo developer who has spent years watching mid-market finance teams produce variance write-ups manually, every close cycle.
The product is live and looking for its first users. If you run books for a $5M–$500M company and want to be the person who shapes what this becomes, reach out.
Free for one entity. No credit card. First memo in 90 seconds.