VelotrivanPro dashboard unifying several financial accounts for wealth analysis

Business intelligence

A single dashboard for all your financial accounts

VelotrivanPro aggregates data from multiple platforms and brokers into a consolidated view, then applies predictive models to identify risks and opportunities before they become visible elsewhere.

Designed for families who manage multiple accounts and want a clear vision before each decision.

Scattered data complicates asset decisions

A securities account with one broker, life insurance with another, a PEA elsewhere: each platform offers its own interface, its own export format and its own update rate.

This fragmentation requires manually reconstructing a global view, often with delay, and increases the risk of decisions made on partial information.

Our response

VelotrivanPro aggregates these sources into a single and coherent flow, updated continuously, so that each decision is based on the entire heritage rather than on a fragment.

Broker A — securities account Isolated view
Insurer B — life insurance Isolated view
Bank C — PEA and savings accounts Isolated view
VelotrivanPro — consolidated flow Unified view

Three capabilities designed to work together

Cross-platform integration powers predictive models, which in turn produce concrete, trackable recommendations.

01

Unified data flow

Connection to the main brokerage and savings platforms to consolidate positions, movements and valuations in a common repository, updated continuously.

02

Predictive risk assessment

Models trained on historical market series estimate the risk exposure of each portfolio and flag excessive concentrations.

03

Automated strategy optimization

Allocation adjustments are proposed based on the stated investment horizon, with detailed reasoning behind each suggestion.

How the analysis is produced, step by step

No recommendation is generated without its origin being traceable. Here is the logic that structures each analysis.

1

Data aggregation

The positions and movements from each connected platform are collected, cleaned and normalized in a common format before any processing.

2

Neural network processing

A model trained on market histories identifies patterns of volatility and correlation between assets held.

3

Restitution of a usable observation

The result is presented in the form of a quantified observation and a course of action, accompanied by the hypotheses retained to achieve this.

VelotrivanPro technical team analyzing financial data models

A decision support tool, not a promise of performance

VelotrivanPro was designed to give families the same analytical benchmarks as those used by wealth management professionals, without promising guaranteed results.

Each recommendation remains a proposal to be considered, not an automatic instruction. The final decision always rests with the user.

The objective is to reduce the time spent collecting information, to devote more time to understanding it.

Three common situations among the families we support

The same capabilities apply differently depending on the heritage objective pursued.

Portfolio diversification

The consolidated view reveals concentrations that remain invisible when each account is viewed separately, such as repeated overexposure to the same sector across multiple mediums.

  • Detection of overlaps between separately held accounts
  • Measuring the real correlation between asset classes
  • Rebalancing suggestions explained and editable

Protection against volatility

Predictive models estimate the portfolio's sensitivity to market variations and identify assets that amplify overall risk during periods of instability.

  • Risk sensitivity score by savings pocket
  • Alerts on significant deviations from the declared profile
  • Rebalancing paths adapted to the family horizon

Long-term growth modeling

Projections based on explicit hypotheses make it possible to visualize several savings trajectories over ten to twenty years, useful for anticipating objectives such as children's education or retirement.

  • Scenarios compared according to different yield hypotheses
  • Visible impact of a change in monthly payment
  • Hypotheses always displayed, never hidden

Verifiable technical guarantees, not vague promises

Trust is built on precise architectural choices, detailed below.

Data encryption

Data transmitted and stored is encrypted, both in transit and at rest, according to recognized financial sector standards.

No holding of funds

VelotrivanPro does not hold, move or manage any assets. The platform consults and analyzes; it never executes an order on behalf of the user.

Accessible audit logs

Each recommendation is accompanied by a searchable history of the data and assumptions used, to rule out any black box logic.

Building a clear vision of your assets starts with an analysis of your current situation

VelotrivanPro brings together your accounts, applies predictive analysis and produces findings that you can verify yourself. No decision is automated for you.

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