We’re not an AI company. That’s the point.
The biggest challenge with AI isn’t technical. It’s human. The knowledge that makes organizations work — values, judgment, culture — can’t be captured by engineers or automated by platforms. It requires listening. Deeply. To the right people. With the right method.
Two perspectives, one method
The Context House was founded on a simple observation: AI is getting smarter every month, but it’s not getting wiser. Intelligence without context produces impressive nonsense — technically correct answers that miss the point entirely.
We built a method to give AI context. Not through more data, better models, or fancier platforms — through the knowledge that lives in your people’s heads.
Ola Hedin — Co-founder
Sociologist. Journalist. Three decades in digital transformation. Ola has spent his career at the intersection of people and technology — understanding not just what technology does, but what it does to people and organizations. He leads the knowledge extraction work, using research-grade interview methods to surface the expertise that manuals can’t capture.
Peter Yngen — Co-founder
Operational leader. Market strategist. Peter brings the business reality: how decisions actually get made, what executives need to hear, and what “actionable” means when the meeting is over. He ensures that the work doesn’t just capture knowledge — it changes how organizations operate.
Our principles
Context before code. Technology is only as good as the context it operates in. We start with understanding — not implementation.
Narrative over rules. People think in stories, not checklists. The most effective way to transfer knowledge is through narrative that shows rather than tells.
Predictable is better than impressive. A predictable AI that consistently reflects your values is worth more than a brilliant AI that surprises you.
Human extraction, machine application. Capturing tacit knowledge can’t be automated. Applying it at scale is another matter. We do the first; AI does the second.
Living systems, not static documents. Your organization changes. Your AI context should change with it.
Where we fit
The AI governance landscape is growing fast — from monitoring platforms to compliance frameworks to enterprise risk management. These tools are necessary. But they all share one assumption: that your organization has already captured its values, decision patterns, and institutional knowledge in a usable format.
Almost none have.
That’s our position. We sit between your organization’s human expertise and every AI tool, platform, and governance framework you use. We produce the content — the organizational context — that makes all of them work better.
We’re not a platform. We’re not competing with your existing AI infrastructure. We’re the missing piece that makes it yours.
What we’re not
We’re not a technology company. We don’t build platforms, dashboards, or monitoring tools. That means your investment doesn’t become obsolete when models change — because we work with knowledge, not infrastructure.
We’re not a compliance bureau. EU AI Act is a good reason to start, but it’s not why we exist. We exist because AI without organizational context is a liability — and with context, it’s transformative.
We’re not management consultants. We don’t write reports that go in a drawer. We produce operational artifacts — a Living Book, a prompt system, a coded knowledge base — that get used every day by every person who interacts with AI.