Nélivance — visualization of financial data analysis by artificial intelligence
Financial artificial intelligence platform

Artificial intelligence at the service of your digital investment decisions

Nélivance combines predictive models with total liquidity of your capital, so that quantitative analysis and the availability of your funds are no longer conflicting choices.

Nélivance — team analyzing market data feeds

An architecture designed for large-scale data analysis

Nélivance was built to process large volumes of market data — quotes, order books, on-chain indicators — and transform them into actionable recommendations for financial decision-makers.

Our technical team designs continuously revised statistical models so that risk parameters reflect the actual state of the market rather than a fixed assumption at the time of deployment.

Technical advantage

Three technical pillars at the heart of the platform

Each decision proposed by Nélivance results from structured data processing, designed to remain readable and verifiable by your teams.

01

Real-time data processing

Market feeds are continuously ingested and normalized, allowing our models to work on an updated state of the market rather than lagging data.

02

Predictive analysis and risk mitigation

Predictive analysis models estimate future volatility and adjust exposure accordingly, to limit the impact of sudden market movements.

03

Automated portfolio rebalancing

The allocation is revised according to rules defined in advance, in a logic of optimization of return adjusted to the level of risk retained.

Liquidity

Your capital remains available at any time

Unlike many institutional structures that impose lock-up periods, Nélivance does not hold your funds once a withdrawal request is initiated.

There are no lock-ups, no restricted release windows, no hidden delays. Your position remains yours, and the platform is designed to process withdrawal requests without additional manual intervention.

Methodology

The decision cycle, from raw data to execution

We do not present testimonials or performance promises. We describe how the system works, so you can assess its suitability for your profile.

Step 1

Data collection

Continuous aggregation of market data, order book depth and on-chain indicators from multiple sources, cleaned before processing.

Step 2

Analysis

Application of stochastic models to estimate the probable distribution of returns and calibrate the management of short and medium term volatility.

Step 3

Execution

Orders are sized according to a weighted risk score, then executed in batches to limit the market impact on open positions.

The security of your data is the foundation of our architecture

We consider data protection as a technical prerequisite, not as a commercial argument. Each component of the platform is designed taking this constraint into account from the design phase.

Data encryption Data is encrypted at rest and in transit, using standard financial industry protocols.
Separation of environments Customers' technical environments are isolated in order to limit the risk of propagation in the event of an incident.
Traceability of operations Each action on the platform is logged, which allows precise monitoring in the event of an audit.

Ready to optimize your strategic decisions?

Request a demo to see how the platform works on a representative dataset, before making any engagement decisions.

Request a demo