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lightspace

About

An AI company that runs its own systems.

Lightspace works with teams worldwide. We run open models as a platform, build AI products on top of them, and advise companies putting AI at the core of how they operate. The three feed each other. The products are where we learn what actually holds up in production; the platform is what we learned we needed underneath.

Most AI work stalls in the same place: a convincing demo that never becomes a system anyone depends on. The gap isn't the model. It's everything around it. Where the data comes from, who approves an action, what happens when the prediction is wrong, and whether the team left holding it can actually operate the thing.

We learned that by building four of our own. A marketing platform that spends real budget. A grid monitor watched by people who get called out at 3am. A dispatch system that moves patients to hospitals. A shopping agent that quotes landed cost before someone commits money. Each one forced the same questions we now ask on day one of a client engagement.

Running those four taught us the thing we now sell first: almost none of that work needed a frontier model, and all of it needed somewhere affordable to run an open one. So we built that, and opened it. Everything we learned goes back out — open models, open weights, and a team that would rather earn next month than lock you into it.

We ship before we advise

Every recommendation we make has been tested on a system we run ourselves, with our own numbers on the line.

Honest about what AI can't do

Some problems are a spreadsheet, not a model. We say so. The “don't bother” list is part of the work.

Humans stay in the loop

Our systems act, but every consequential action carries a confidence score, an approval step and an audit trail.