Daggy Data

Ascending toward
better judgment.

Many business problems — where to spend, who is about to leave, what next quarter holds — are judgment calls. Data, once it's organized and analyzed, sharpens that judgment. If your data is a mess, we can clean it up. If it's already clean, you can plug straight into Daggy.

Selected problems

  1. Marketing spend

    Optimizing every dollar spent by simulating marketing performance across channels.

  2. Churn

    Mitigating unexpected churn by modeling why people leave.

  3. Behavior forecasting

    Letting staff act early by predicting at-risk events.

What we make

Data engineeringSERVICE

Pipelines, cleanup and structure, so your data is ready to use.

Daggy

A probabilistic simulation engine that lets you, Claude, ChatGPT or your own agent ask "what if" of your own data and get rigorously grounded answers.

Agentic forecastingLIVE

A public experiment: agents search for qualitative signals like player-coach friction to predict NFL games. Some agents combine these signals with Daggy and some don't. We score every forecast weekly against Kalshi's prediction market.

Content in AI searchBETA

A what-if simulation environment for content: test drafts before publishing to see which ones LLMs cite.