Let’s Collaborate

Q‑FIRES

Financial Intelligence, Risk & Early-Warning Systems

An experimental platform that integrates economic data, analytics and early-warning signals for strategic decision support.

Abstract visual of a landscape of thin time-series lines with a single luminous early-warning pulse
Illustrative visual
IndustryMacroeconomic Intelligence
StatusR&D · v0.2
Core technologyData engineering · ECB & Eurostat connectors
ContextMEF programme

Financial Intelligence, Risk & Early-Warning Systems.

Q-FIRES is an experimental financial-intelligence platform. It brings official economic data into a single, versioned analytical layer and explores methods to detect anomalies, build scenarios and surface early-warning signals for strategic decisions.

Macro and financial data are scattered and revised over time, making early signals hard to detect.

The challenge

  • Economic indicators come from many official sources with different release cycles.
  • Data revisions make it hard to reconstruct what was known, and when.
  • Weak signals get lost among thousands of time series.

Our approach

  • Connectors to official sources such as ECB and Eurostat.
  • Versioned historisation to keep every data vintage traceable.
  • Analytics for anomaly detection, scenarios and early warning.

Built on our core technology pillars.

Data engineeringECB & Eurostat connectorsVersioned historisationAnomaly detectionAI / ML

How we approach each technology

Where Q-FIRES applies.

Macro surveillance

Monitoring economic indicators across countries and sectors.

Anomaly identification

Flagging unusual movements and structural breaks in time series.

Scenario analysis

Supporting strategic decisions with alternative macro scenarios.

Where we are today.

01 · currentR&D
02Prototype
03Pilot
04Product
Programme contextDeveloped in the context of a programme of the Italian Ministry of Economy and Finance (MEF)
Current releaseR&D v0.2 — ECB/Eurostat connectors and versioned historisation

What we are designing for.

Unified macro data layer

Official sources integrated in one consistent model.

Every data vintage preserved

Reproducible analysis on what was known at each date.

Earlier signals

Surfacing anomalies before they become trends.

Design targets — not achieved results. Metrics will be published only after validation.

What comes next.

  1. v0.3Extended data coverage and quality checks.
  2. Early-warning modelsExperimental signal models with validation protocol.
  3. ValidationMetrics published only once validated.

Let’s explore Q-FIRES together.

Let’s turn advanced research into deployable intelligence. Tell us about your challenge — a partnership, a pilot or a request for our company presentation.

Partnerships & pilotsinfo@qubitale.com
HeadquartersVia B. Quaranta 45, 20139 Milano, Italy
I’m interested in

We use the data you send only to reply to your request. Privacy Policy

Thank you. Your email client is opening with a pre-filled message to info@qubitale.com.