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About

One team, together-mode, mostly AI.

Emberloom AI is not a product. It is a way of working. A small group of people and a large team of AI agents, organized as one unit, building custom solutions for e-commerce companies that want to own what they run. It started with three of us, a lot of experiments, and the slow realisation that we had found something worth building a company around.

The beginning

Three people, one recurring problem.

Stefan came at it from the place where technology and business meet. CTO and COO roles, and plenty of others without a clean title, running e-commerce and ERP programmes and watching how much of the real work happens in the gaps between systems.

Emma came at it from projects and change, with software and engineering underneath. Add to that a stubborn talent for getting things to actually happen, and years spent in sales and business development, which is a combination that turns out to be rarer than it should be.

Adán came at it from large systems and robust solutions, with the last fifteen years spent on what genuinely creates value inside e-commerce companies. He is an entrepreneur who has built companies that sit at the front of combining consulting with real solutions, and an early mover in using agents to run large teams and large software projects.

None of us set out to start a company. We started experimenting, on real client work rather than in a lab, because the tooling had got good enough that it seemed irresponsible not to. We built things. Some of them worked immediately. Plenty of them did not, and the failures taught us more than the wins: how quickly an impressive prototype falls apart when real data hits it, how much of an AI project is actually process work, how fast a demo becomes a maintenance problem when nobody owns it.

Then a pattern started repeating. Find the workflow where people are acting as the integration engine between systems. Build the operational layer that should have been there. Put agents inside it rather than beside it. Keep the code with the customer. Ship in weeks, not quarters. It worked at one company, then at the next, and then at one where we honestly expected it not to.

That was the moment it stopped being three people helping each other out. A formula you can repeat is not a side project. It needs a company around it, with a name on the door and someone answerable when it breaks.

The long way round. Several hundred names before this one.

The name

Several hundred names later, this one held.

Naming the company took far longer than anyone outside it would believe, and it was, appropriately enough, our own agents that did most of the work. They generated, screened and argued for several hundred candidates. We rejected almost all of them.

A name has to clear three bars at once, and most fall at one of them. It has to mean something, so the story is true rather than decorative. It has to be registrable, which quietly kills the good ones first. And it has to be something you can build on for years without growing out of it.

Emberloom cleared all three. Loom is the weaving frame, and the loom was the first machine in history driven by a program instead of by a hand. Ember is the glow that stays in the room after the fire has gone out and everyone has left. Together they say what we do: weave the threads of a business into a pattern that can be run again, and leave something behind that keeps working when nobody is standing over it.

Welcome to Emberloom AI.

How we are organized.

Spinout is the founding company and your contractual counterpart. Behind Spinout is a partnership in together-mode: people and AI agents working as a single team across company lines.

Business development and implementation is driven by Spinout and Aurora Insight together with a network of specialist partners. We map your business, design the right solution, and build it with you.

Deep technical expertise and automation lives at Partnersense. Continuous integration and deploy, security review, refactoring, code quality, infrastructure. The processes that keep software alive and healthy over time.

We have significantly more AI agents working than people. That is by design, and it will always be that way. The agents handle code, testing, monitoring, documentation, and a hundred small tasks that used to eat engineering hours. They never sleep, never forget, and never cut corners.

But we who are people are very human. We listen. We ask questions. We push back when something does not make sense. The agents give us leverage. The judgment stays with us.

What we believe in.

Own over rent

The SaaS stack has delivered for a long time. Now its era is ending. Emberloom AI helps you build what you own, instead of renting what everyone else uses.

Agents over headcount

More AI agents, fewer meetings. We scale with intelligence, not with invoiced hours. The team grows by deploying agents, not by hiring.

Humans where it matters

Strategy, relationships, hard calls. The things that require judgment, empathy, and experience stay with people. Everything else is automated.

Who we work with.

We work primarily with Nordic e-commerce companies that are mature enough to have their own system stack and young enough to want to build their own. A free introduction frames whether Emberloom AI fits.

Join us

Room for one or two more.

We are opening up the business to one or two more people. Not a headcount plan, and not a job posting we will run again next quarter. Two seats, filled once, by people who want to help shape what this becomes.

The person we are looking for moves easily between business and technology. Not a developer who tolerates client meetings, and not a strategist who hands the hard part to someone else. Someone who can sit with a customer's operations team in the morning, understand what is actually broken, and be part of building the answer in the afternoon.

You speak e-commerce fluently. Order flows, product data, returns, integrations, the reasons a launch slips. You have seen enough implementations to know which promises hold and which ones do not.

And you want a context. Somewhere to belong, with people who are building rather than maintaining, and a toolbox you get to develop rather than just use.

If that sounds like you, get in touch. A conversation costs nothing and we will be honest about the fit in both directions.

Ready to talk?

Thirty minutes is enough. We listen, you describe the challenge, and we say honestly whether we are a fit.