TSEN

No company is standard.

AI knows almost everything. Except how your business runs. TSEN teaches it what only you and your people know:

Know-how. Processes. Assets. Contracts.

The four parts of the logo represent people, knowledge, machines and processes, coming together in one connected structure.
COMPANY WORLD MODEL.

01 / The Insight

AI needs to know how your business connects.

Language models can reason about relationships. But they do not automatically know which machines, orders and contracts belong together in your business. When that context is scattered across systems and documents, relevant connections can be missed. More information alone does not guarantee a complete picture.

TSEN starts with those connections: company knowledge, organised around how your business works.

02 / The Problem

The knowledge is there. The connections are missing.

Which machine belongs to the order? Which contract applies when something goes wrong? Who decided what, and why? The answers sit across your teams, systems and people’s heads. Your AI lacks that context. It fills the gaps with guesses. What its answer is based on remains unclear.

01

Knowledge stays separate.

Departments, machines and contracts are not connected.

02

Answers go unchecked.

Without a source, you cannot check what an answer is based on.

03

Decisions get lost.

Past decisions are not available to your AI.

03 / The Solution

With TSEN, AI understands your business.

We help companies use AI where it measurably pays off. First with your people, then with your data and machines.

TSEN connects what your departments know with information from your machines. Orders, contracts and decisions gain context. Every fact keeps its source. Your people decide what gets approved.

01 / HOW IT WORKS

TSEN collects your data from all available sources.

The first step

Where can AI make a difference for you?

Thirty minutes for your tasks and your starting point. Together, we work out whether the first step makes sense for your business. If it does not, we tell you.

Let’s talk