Gravo Lorix dashboard view for real-time data analysis

Real-time data analysis for automated investment decisions

Gravo Lorix combines predictive models with a setup that completes in under 60 seconds. You set the parameters and the system takes over the ongoing evaluation of your data.

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Problem & Solution

Manual analysis processes cost time, which is rarely available on the market

Classic evaluations are often based on distributed tables, delayed reports and changing data sources. Gravo Lorix replaces this process with a structured, automated system.

Typical hurdles with traditional analysis

  • –Excel models that have to be adjusted manually for each new data source.
  • –Reports that are only available hours or days after market changes.
  • –Fragmented sources without consistent data quality validation.
  • –High personnel costs for preparation instead of decision-making.

The Gravo Lorix approach

After linking your data source, the system automatically configures processing pipeline, model parameters and output format. The entire setup process is designed to take under 60 seconds.

  • ✓One setup step instead of multi-step configuration.
  • ✓Continuous recalculation as data arrives.
  • ✓Uniform validation logic for all connected sources.
System status: Active · Processing in real time
Core functions

How the AI engine converts data into a basis for decision-making

Three components work together: predictive models, risk assessment and automated recommendations for action. Each component can be traced individually.

Predictive models

Prediction models based on historical and current data

The system combines time series analysis with continuously arriving market data. Forecasts are not created once, but are recalculated with every relevant data change and compared with previous results.

Forecast modulet+1
Trend strength
Volatility
Confidence
Risk logic

Risk assessment as a continuous, not one-off process

Instead of a static risk profile, Gravo Lorix calculates a running risk index that takes market fluctuations, portfolio concentration and external data sources into account. Deviations are marked as soon as defined threshold values ​​are reached.

Risk moduleLive
Market risk
Concentration
Liquidity
Recommendation module

Automated recommendations with understandable justification

Each recommendation generated is displayed linked to the underlying data points. This makes it possible to understand which factors advised an adjustment instead of adopting a decision without checking it.

Recommendation#0417
Weighting A
Weighting B
Relevance
Methodology

From data input to a validated decision in three steps

Processing follows a fixed sequence. Each step can be examined individually instead of being seen as an opaque black box.

Data ingestion

Connected sources are checked for format, completeness and topicality before they are included in the processing pipeline. Incorrect records are marked instead of silently discarded.

Neural processing level

Validated data passes through the model layer, where patterns are recognized and compared with historical reference values. Interim results are recorded and remain traceable.

Optimizing decision output

Results are transferred into a structured format and prioritized. You receive a ranking of options for action instead of a single, unfounded statement.

Use cases

Areas of application for investors and growing portfolios

The following examples describe typical application situations. Specific results depend on the data connected and the parameters selected.

01

Portfolio optimization

Ongoing rebalancing based on risk index and forecast model, instead of fixed rebalancing intervals without taking the current market situation into account.

02

Hedging against market volatility

Early identification of increased fluctuation ranges so that hedging measures can be tested before rather than after a market movement.

03

Operational scaling

Uniform evaluation logic for multiple portfolios or business areas without building a separate model for each additional data source.

Gravo Lorix team working on data models
About Gravo Lorix

A system that exposes rather than obscures processing logic

Gravo Lorix is designed for people who want to use data analysis as a tool without building their own data science team. The focus is on a traceable processing chain from data receipt to recommendation.

The platform is aimed at technically interested private investors and small teams who prefer automated evaluation to a manual, time-consuming process. Configuration and operation are deliberately kept compact.

Frequently asked questions

Technical details on safety, accuracy and operation

Answers to questions that typically arise when introducing an automated analysis system.

How is my data protected?

Transferred data is processed in encrypted form and used exclusively for the analysis you have configured. It will not be passed on to third parties for advertising purposes.

What is the latency of the model calculation?

Processing time depends on data volume and number of active models. The model layer is designed for low latency, providing results close to real time rather than being calculated at fixed batch intervals.

What does the 60 second setup mean specifically?

After connecting a data source, the system automatically configures the necessary processing steps. Manual setup of individual modules is not required, meaning the process is typically completed within a minute.

Set up analysis in under 60 seconds

Link a data source and define the relevant parameters. Gravo Lorix takes over the ongoing processing and provides prioritized options for action.

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< 60 sec.Setup duration
Real timeData processing
End-to-endEncryption
API & WebAccess options