Wie werden meine Daten technisch geschützt?

Alle Daten werden bei Übertragung und Speicherung nach dem AES-256-Standard verschlüsselt. Zugriff erhalten ausschließlich autorisierte, rollenbasierte Sitzungen; jeder Zugriff wird protokolliert.

Welche regulatorischen Rahmenbedingungen berücksichtigt Nordelis AI?

Die Datenverarbeitung orientiert sich an den Vorgaben der DSGVO sowie den gängigen Dokumentations- und Protokollierungsanforderungen im Finanzumfeld in Deutschland.

Wie schnell habe ich Zugriff auf meine Portfoliodaten?

Nach Einrichtung Ihres Zugangs stehen Analysen und Kennzahlen in Echtzeit zur Verfügung. Der Zugriff erfolgt über eine gesicherte Sitzung ohne zusätzliche Wartezeit.

Wie trifft die KI ihre Empfehlungen?

Die Modelle werten historische und aktuelle Marktdaten statistisch aus und identifizieren Muster, die mit Risiko- und Renditekennzahlen verknüpft sind. Jede Empfehlung enthält die zugrunde liegenden Parameter zur Nachvollziehbarkeit.

Erfolgt eine automatische Umsetzung der Empfehlungen?

Nein. Nordelis AI liefert dokumentierte Handlungsempfehlungen. Die Entscheidung über die tatsächliche Umsetzung verbleibt bei Ihnen oder Ihrem Vermögensverwalter.

Was geschieht bei erhöhter Marktvolatilität?

Die Modelle aktualisieren Risikoscores bei erhöhter Volatilität in kürzeren Intervallen und weisen auf signifikante Abweichungen vom hinterlegten Risikoprofil hin.

Nordelis AI analytics dashboard for AI-powered risk assessment of crypto portfolios

For professional investors

AI-powered risk analysis at an institutional level

Nordelis AI processes market, on-chain and volatility data in real time and derives reliable allocation recommendations from it. The entire data infrastructure is encrypted and aligned with the regulatory requirements for financial service providers in Germany.

Arrange a consultation View functionality

Example portfolio view

Risk score (1–10) 4.2

Expected volatility (30 days) 11.8%

Degree of diversification high

Latest model update 6 mins ago

Illustrative representation for demonstration purposes, not investment advice and not an indication of future performance.

Encryption architecture

Data transmission and storage are carried out using the AES-256 encryption standard, supplemented by transport encryption at the protocol level.

Regulatory focus

Data processing processes are aligned with the requirements of the GDPR and the relevant documentation requirements for financial data.

Access control

Tenant-separated infrastructure with role-based access rights and seamless logging of security-relevant processes.

Analysis engine

Functional scope of AI-supported decision support

Each module works on the same encrypted database and delivers understandable, documented results for your investment decisions.

Precision analytics

Continuous evaluation of market, liquidity and on-chain data to identify relevant risk factors.

Risk management

Scenario-based stress testing simulates market movements and quantifies potential loss margins before implementing a strategy.

Portfolio optimization

Allocation suggestions are calculated based on your stored risk profile and existing positions, not given as a general rule.

Predictive modeling

Statistical pattern recognition in historical and current time series to assess likely market developments.

Encrypted data infrastructure

Each data source is encrypted before processing and kept in isolated environments, separate from third-party tenant data.

Documentation & Reporting

Each recommendation is logged with the underlying parameters and can then be evaluated in a comprehensible manner.

View technical specifications →

Methodology

From data receipt to recommendation: a transparent process

Cautious investors not only examine the result, but also the path to get there. Therefore, Nordelis AI exposes every processing step.

Data collection

Market, order book and on-chain data is collected from multiple sources in real time.

Encryption

Each data record is encrypted immediately upon receipt before further processing takes place.

Modeling

Statistical and machine learning models extract patterns and correlations from the normalized data.

Validation

Results are checked against historical control scenarios before being released as a recommendation.

Reporting

You will receive a documented recommendation for action including the underlying risk indicators.

Data security level

Raw data, interim results and final reports are stored in separate, independently encrypted storage layers. Access is only via authorized, logged sessions.

Note on algorithmic integrity

Model decisions are regularly checked through independent control calculations. AI does not replace independent investment decisions, but rather provides an additional, documented basis for decisions.

Nordelis AI team of analysts checking risk models

background

Designed for investors who require receipts

Nordelis AI was designed for investors who value comprehensible calculation bases instead of general forecasts. Each model output can be traced back to the original data source.

The platform is aimed at private and institutional investors who want to manage crypto exposures in the context of a broader asset portfolio and do not want to put aside regulatory due diligence.

Use cases

Use in practice

Two typical constellations in which clients use Nordelis AI to support decision-making.

Crypto portfolio management

Ongoing monitoring of existing positions

An investor with existing positions in multiple digital assets uses Nordelis AI to reveal correlation risks and concentrations in the portfolio that are easily overlooked when viewed manually.

The platform reports deviations from the stored risk profile and suggests adjustments, which the investor independently checks and approves.

Relevant metrics

Check intervalReal time

Asset classes consideredMultiple times

Release of implementationManually

Strategic asset allocation

Classification of digital assets in an overall portfolio

For wealthy private investors and smaller institutional clients, Nordelis AI classifies crypto exposures in relation to traditional asset classes and shows the impact on the overall risk of the portfolio.

Weighting decisions remain with the client; the platform provides the quantitative basis and documents its derivation.

Relevant metrics

Data points taken into accountMultiple sources

Reporting rhythmDaily

Depth of documentationCompletely

Frequently asked questions

Questions that institutional and private clients ask us most frequently

How is my data technically protected?

All data is encrypted during transmission and storage using the AES-256 standard. Only authorized, role-based sessions are granted access; every access is logged.

Which regulatory framework does Nordelis AI take into account?

Data processing is based on the requirements of the GDPR as well as the common documentation and logging requirements in the financial environment in Germany.

How quickly can I access my portfolio data?

After setting up your access, analyzes and key figures are available in real time. Access occurs via a secured session without additional waiting time.

How does the AI make its recommendations?

The models statistically evaluate historical and current market data and identify patterns that are linked to risk and return metrics. Each recommendation contains the underlying parameters for traceability.

Are the recommendations implemented automatically?

No. Nordelis AI provides documented recommendations for action. The decision about the actual implementation remains with you or your asset manager.

What happens when market volatility increases?

The models update risk scores at shorter intervals when volatility increases and indicate significant deviations from the stored risk profile.

Arrange a non-binding initial consultation

An analyst will explain the scope of functions, the security architecture and the data integration process for your individual portfolio.

Feedback usually within 48 hours