How MAKOR works.
The processing model, simply explained. MAKOR does not replace existing systems. MAKOR understands what is already there and turns it into a basis for decisions.
Six steps lead from the source to the decision.
- 1
Connect
MAKOR connects common databases, APIs and data streams. The data is referenced, not copied. Your systems keep control over their data.
- 2
Organise
You harmonise your data yourself. A shared vocabulary translates between the systems: actor, place, event and time mean the same everywhere.
Ontologythe structured model of your organisation’s concepts and their relationships.
- 3
Link
MAKOR links the organised information into a shared understanding. Rules and models run on your infrastructure, and every inference carries a reliability rating.
- 4
Ask
You ask in conversation. The AI in MAKOR answers based only on your data. If data is missing, MAKOR says so openly.
Harnessthe framework around the AI. It ensures that the AI answers only based on your data, names sources, flags gaps and records every step in the audit trail.
- 5
Verify
Every statement refers to its source, version, timestamp and reliability. So it stays provable how an answer came about. The audit trail records every processing step.
- 6
Decide
Your experts assess, weigh and decide. MAKOR provides the basis. The responsibility stays with people.
Three commitments apply, wherever MAKOR runs.
The data stays with the customer.
You put your data in order yourself. Bonn Systems has no access to it.
You train MAKOR with your data.
Training takes place on your side. What MAKOR learns stays in your organisation.
Even in air-gapped operation.
MAKOR runs on your own hardware, in a private cloud or on a European PaaS, and fully isolated if you wish.