Physical layer
Buildings, land, shipments, warehouses and operational events.
European digital systems · Logistics & real estate
Physical assets.Governed intelligence.
Dayton Capital SE researches, designs and validates digital systems for logistics and real estate — with clear mandates, human accountability and an audit trail.
01 · Premise
Digitalisation matters only when we can explain who decided, from which evidence and under which rules.
We connect physical assets, operational data and a governance framework. The result is not a technology demonstration, but a system that can be reviewed, changed and safely handed to the people accountable for decisions.
Data layer
Verifiable information provenance, versioning and controlled access.
Governance layer
Mandates, human approval, control points and an audit trail.
02 · Sectors
Two domains. One shared governance layer.
R / 01
Real estate as a living data system.
Ownership, technical condition, documentation, operations and decisions are often spread across many systems. Dayton designs ways to connect them into a clear and controllable view of an asset.
- Asset and document data map
- Governed change and approval workflows
- Scenarios for digital management and transaction readiness
03 · System
From a rule to an operable system.
We do not translate regulation into marketing claims. We translate it into roles, data, controls and evidence that can be verified in design and operation.
Analyse
Define purpose, actors, risks, sources and the relevant framework.
Design
Translate requirements into architecture, roles and decision points.
Validate
Test scenarios, exceptions, traceability and human approval.
Hand over
Document limits, operational ownership and the next review.
04 · AI governance
AI receives a mandate. People retain accountability.
AI can help classify evidence, find relationships and prepare options. It must not independently create the appearance of a legal, regulatory or investment decision.
- 01
Mandate
Task, scope, sources and prohibited actions are defined before execution.
- 02
Evidence
Outputs refer to specific sources, versions and dates.
- 03
Human decision
Critical conclusions are approved by an identified accountable person.
- 04
Audit
Inputs, changes, approvals and the model used remain traceable.
- 05
Revision
A mandate can be paused, changed or revoked without losing history.
Dayton Capital SE is not an EU body or regulator. This website does not imply endorsement, mandate or partnership by the European Commission, ECB, ESMA or any other public institution.
05 · European context
Readiness precedes operation.
Rules do not create operations by themselves. What matters is the ability to translate them into verifiable identity, data, roles, controls and an audit trail.
AI Act
Transparency, operator accountability and risk governance according to the system’s specific role.
GDPR
Purpose, data minimisation, security, individual rights and controller or processor accountability.
Sector rules
Assessment according to the specific use, asset type, service and jurisdiction.
Relevance and obligations are determined case by case. This page is not legal advice or confirmation of compliance.
06 · Company
Dayton Capital SE
A European company based in Prague, focused on researching, designing and validating digital systems in logistics and real estate.
- Legal form
- European Company (SE)
- Company ID
- 215 38 271
- Registered office
- Varšavská 715/36, Vinohrady, 120 00 Prague 2, Czech Republic
- Incorporated
- 4 May 2024
This website does not present unverified licences, regulatory approvals, client references or guaranteed outcomes.
Institutions · Companies · Technology partners
Start with a specific problem.
Describe the asset, process or decision you need to map. The first step is to define purpose, accountability and evidence — not to select technology.