Built at the intersection of economics, technology, and AI.

Hanaska started at the intersection of two obsessions: economics and technology. The founder, Will Hanafan, was pursuing a dual MBA/MS Economics degree when he started building data systems to answer questions his textbooks couldn't — questions about how markets aggregate information, how probabilities get priced, and where the gaps are between what markets say and what the data shows.

What started as academic research quickly became something bigger. The data collection infrastructure grew. The models multiplied. The questions expanded beyond prediction markets into options flow, commodities, macro regimes, real estate valuations, and enterprise intelligence. Each new domain revealed the same pattern: fragmented data, no unified view, and decisions being made on incomplete information.

So we started solving that problem — again and again, across different industries. A multi-model AI analyst engine for trading. An enterprise sales intelligence platform for IT consulting. A land valuation screening tool for commercial real estate appraisers. Each one built on the same foundation: collect the right data, build the right models, and deliver answers that actually drive action.

Today, Hanaska Intelligence operates across 22 million data points, 8 databases, and multiple AI model providers. We build custom intelligence systems that compound in value every day — because the data never stops growing and the models never stop learning.

We didn't set out to build a consultancy. We set out to understand markets. But the tools we built to do that turned out to be exactly what other organizations needed too. The thesis became the company. The company became a platform. And the platform keeps growing.