About Orion

Better decisions should not depend on having a bigger data team.

Every business produces more information than it can comfortably use. It lives in spreadsheets, CRM and ERP systems, exports, dashboards, and project files, close enough to feel valuable, but often too scattered or technical to answer the question that matters: what should we do next?

For a growing company, the person responsible for the decision is often also the person gathering the data, fixing formulas, checking assumptions, and turning the result into something the rest of the team can understand. The analysis matters, but the work required to reach it gets in the way.

Orion is built to close that gap. It helps owners, operators, and analysts turn the files they already have into insights they can act on. You can ask a question in your own words, follow the evidence behind the answer, and keep digging until you understand not only what changed, but why.

Our mission is to make dependable analysis accessible to every team, so more people can make decisions with evidence instead of instinct alone.

The founder's story

Why I built Orion

My own work has taken me across quantitative analysis, financial markets, software, and entrepreneurship. In each of those worlds, I kept encountering the same problem: the most important questions were rarely difficult to ask, but getting to a trustworthy answer demanded too much technical work.

Spreadsheets were familiar but became fragile as the questions grew. Notebooks were powerful but expected you to know how to code. Traditional business intelligence tools could summarize what had already been modeled, but they were much less helpful when you needed to explore an unexpected change. And general-purpose AI tools could produce an answer without truly understanding the live data, calculations, and context behind the work.

I started building Orion because I wanted a different kind of tool: one that could meet people where their work already happens, help them investigate instead of merely generate, and make sophisticated analysis feel like a conversation rather than a programming task. The goal was never to hide the reasoning inside a black box. It was to make the reasoning easier to reach, inspect, and use.

What began as a response to my own frustration has grown into a broader belief: the next generation of analytical software should adapt to the person asking the question, not force that person to become an expert in the software first. Orion is my attempt to build that future: an open, capable workspace where human judgment and AI can work together on real data.

Our Philosophy

We believe serious analysis should be accessible without taking control away from the person doing the work. Orion combines the simplicity of a conversation with the depth of a true analytical workspace: a place to inspect the source, test an idea, challenge an assumption, reproduce the result, and share what you learned.

That begins with building Orion in the open. Open source gives people the ability to understand the tools shaping their decisions, examine how Orion works, and choose the models and workflows that suit them.

It also means being local-first. Orion's core workspace runs on your machine, allowing you to keep ownership of your files and decide when, where, and whether your data is shared with an external model or service.

And it means treating privacy as a foundation, not an optional feature or an afterthought. Users should remain in control of their work and have meaningful choices about how their data is stored and processed.

These principles guide both what we build and how we build it. The technology will keep changing; our commitment to accessibility, transparency, ownership, and privacy will not.