Our vision

AI is not a product. It is a new layer of the information system, and it has to be governed.

To work inside a company, AI must access data, understand context, use tools, act in existing systems, and stay under control. Dasein works at that intersection.

Data× Software× AI× Infrastructure

What we believe

01
AI is becoming a layer of the information system.
Not one more tool next to the others: a layer that reads your data, uses your applications and acts in your processes. It deserves the same engineering standards as the rest of the system.
02
Value lies in governance, not in the front end.
You can buy the chat interface. What makes the difference is what sits behind it: who can do what, with which data, at what cost, and with what trace.
Read: User Augmentation
03
An agent always acts with someone’s rights.
Propagated identity, delegated rights, human approval before writing: an agent must never see or do more than the person it works for.
Read: MCP
04
One shared foundation rather than a hundred isolated projects.
Gateways, catalogue, observability, standards: pooled once, they let every team move fast without reinventing security.
Read: AI Platform
05
The simplest thing that works.
A workflow before an agent, one agent before several. Add complexity when the problem demands it, not because the technology allows it.
Read: Business Applications
06
AI has a physical weight.
Behind every model there are megawatts, heat and water. Picking the right model, measuring, and sizing to the real need are part of the engineering job.
Read: The megawatt and the degree

Our role

We help put things in place. Your teams stay in charge.

01
Frame
Choose the use cases worth the effort, the level of control each needs and the architecture that carries them.
02
Build
Put the agents, the foundation and the governance in place with your teams, in your environments and with your tools.
03
Hand over
Document, explain, train: our articles and glossary follow the same rule, sources, limits, no jargon.

Why “Dasein”

Dasein — “being-there”. An intelligence that is not abstract, but situated: present in an environment, aware of its context, able to act in it.

Who we work with

Large groups with complex data and cloud ecosystems, and technology companies accelerating the construction of their AI infrastructure and products.