DECISION INTELLIGENCE MAKOR DATA-CENTRIC SITUATIONAL PICTURES INFERENCE NET    80 HYPOTHESES · 142 EDGES
01 — OBSERVE. UNDERSTAND. DECIDE.

Observe. Understand. Decide.

A modular platform for data-centric situational pictures. It brings together three dimensions of modern decision capability: spatial, communicative and temporal intelligence — for maximum depth of decision-making in complex data situations.

TRUSTED BY FIVE CATEGORIES · DACH & EUROPE
/ 01 Federal agencies
/ 02 Security authorities
/ 03 International development organizations
/ 04 Enterprises
/ 05 SMEs
02 — CORE PRINCIPLE

Makor doesn’t replace existing systems. Makor understands what already exists — and creates decision capability.

03 — SEPARATION PRINCIPLE

Makor separates infrastructure from application.

The core infrastructure Aether creates the semantic foundation — Atlas, Socius and Chronos create concrete decision spaces.

01 / MODULAR

One platform, three ready-to-use modules — Atlas for space, Socius for relationships, Chronos for time. New functions can be added without additional data integration.

Modular by use case.
ONE INFRASTRUCTURE SCALABLE
02 / SOVEREIGN

Makor runs on-premise, in private clouds or as European PaaS — with sovereign control over data, models and audit logs. No data leakage, no vendor lock-in.

Sovereign by design.
ON-PREM · HYBRID · PAAS DE / EU
03 / EXPLAINABLE

Every statement in Makor points back to its source, timestamp and processing path. No black box—just auditable logic, compatible with the EU AI Act, BSI C5 and ISO 27001.

Explainable by design.
EU AI ACT · BSI C5 · ISO 27001 AUDITABLE
M.04 / SDK

Your infrastructure. Your models. Your decision logic.

The Makor SDK opens the same infrastructure Makor itself runs on — custom connectors, pipelines, models, ontologies. Sovereignty, audit trail and explainability are not add-ons. They are structurally anchored.

SDK DOCUMENTATION PYTHON · TYPESCRIPT · JAVA
05 — WHAT’S BEHIND IT

Behind every situation picture there is an auditable trail.

Schematic representation — not a product interface. It illustrates the structures Makor brings together: sources, hypotheses, confidences, timelines and audit trails. The concrete application remains context-dependent.

SCHEMATIC · CONCEPT SKETCH
HYPOTHESES NET ACTIVE
87 ACTIVE 142 EDGES 63 NODES
CLASSIFICATION LAST 24H
98 %
↑ +0.3 SINCE YESTERDAY
PRECISION RATE OF CORTEX INFERENCE, MEASURED AGAINST AUDITED REFERENCE CASES.
SOURCES 38 CONNECTED
  • SIGINT PRIMARY LIVE
  • OSINT FEED LIVE
  • GEOINT TIER-1 LIVE
  • HUMINT SYNC SYNC
  • MASINT ARRAY LIVE
AUDIT LOG LAST 6
  • 14:42   HYPOTHESIS H-07 ACTIVATED ACT
  • 14:28   SIGINT CLUSTER SHIFT ACT
  • 14:14   OSINT CORRELATION INFO
  • 13:52   AUDIT H-05 REVIEWED OK
  • 13:37   GEOINT CONNECTED INFO
  • 13:15   CORTEX UPDATED OK

Makor took us from four tools to one where we can analyze and simulate at the same time. The audit trail comes for free on top.

HEAD OF TRANSPORT PLANNING
Pilot partner DACH
2026 · ANONYMIZED
CONTACT / LIVE
06 — START

Your use case. Our assessment.

No off-the-shelf demos. Describe your challenge — we’ll get back within two business days with a concrete analysis.

EMAIL kontakt@bonnsystems.com
PHONE +49 228 98143730
ADDRESS REUTERSTRASSE 109 · 53113 BONN
APPOINTMENT → BOOK DIRECTLY