ÉclaiZance — artificial intelligence financial data analysis dashboard

AI financial data analysis

Optimize your financial decisions

ÉclaiZance cross-references your market, accounting and transactional flows with predictive models to produce quantified, traceable recommendations aligned with current regulatory requirements.

EncryptionAES-256
ComplianceGDPR · DSP2
Processing latency<200ms
ÉclaiZance — technical team analyzing financial data flows

Dedicated technical architecture

ÉclaiZance ingests your market, accounting and transactional data into a single pipeline. Each flow is normalized, timestamped and versioned before being submitted to the predictive models, which makes it possible to reconstruct the origin of each recommendation produced by the system.

Integrated regulatory compliance

The engine applies the DSP2, RGPD and MiCA standards from the design stage, with no additional module to install. Audit logs are generated automatically and remain exportable for your compliance teams or your auditors.

Applied standards GDPR · DSP2 · MiCA
Data encryption AES-256/TLS 1.3

Military-grade encryption

Data at rest and in transit is encrypted using AES-256 and TLS 1.3 standards. Keys are segmented by customer and rotated on a fixed schedule, without manual intervention on your part.

The decision engine

Four steps transform your raw data into a reasoned and traceable recommendation.

01

Data ingestion

Connection to market feeds, banking APIs and accounting files. Each entry is validated and timestamped before processing.

02

Predictive modeling

Statistical and machine learning models estimate several evolution scenarios on the assets tracked.

03

Risk assessment

Each scenario is weighted according to its volatility, its correlation with your existing portfolio and its time horizon.

04

Strategic recommendation

The system returns a classified recommendation, with the indicators that motivated it and its confidence level.

Professional use cases

Three concrete applications for diversification and portfolio management.

Market arbitrage

Spot valuation gaps between correlated instruments through continuous analysis of quote feeds, with detection time measured in milliseconds.

Portfolio optimization

Adjust the distribution of your assets according to previously defined risk constraints, without exceeding the volatility thresholds you have set.

Volatility hedge

Identify relevant hedge positions based on historical correlation and engine-simulated stress scenarios.

System rigor

Technical benchmarks rather than customer testimonials.

Target availability 99.9%

Architectural objective for the compute infrastructure, excluding scheduled maintenance windows.

Encryption AES-256

Encryption at rest and in transit, client-segmented keys, automated rotation.

Processing latency <200ms

Average time between receipt of market data and updating of the recommendation.

Regulatory framework GDPR · DSP2

Logging of processing and export of audit trails upon request from your compliance teams.

Technical questions

The points most frequently raised by our professional users.

How is my data protected?

All data passes through and is stored encrypted according to AES-256 and TLS 1.3 standards. Access is logged and limited by rights defined for each user account.

What is the integration procedure?

ÉclaiZance connects to your existing data sources via documented APIs. An isolated test environment allows flows to be validated before going into production.

What security framework is applied?

The infrastructure applies the GDPR and PSD2 standards for the processing of financial data. The technical documentation details the controls put in place and remains available for consultation on request.

Switch to structured analysis

Consult the technical documentation before putting it into production, or access the terminal directly to test the engine on your own data.