Optimize your returns and secure your investments thanks to our high-performance predictive models. Institutional precision for your strategic decisions.
Start analysisEach module of Termavise covers a distinct stage of the decision-making process, from data collection to executive restitution.
Massive processing of data streams to identify weak signals before the market.
Portfolio optimization algorithms reducing exposure to volatility.
Ready-to-use decision-making summaries for maximum operational efficiency.
Termavise combines proprietary neural network models and multi-market data sources to produce recommendations based on measurable facts, not hunches.
Three sequential steps, designed to ensure consistency between the data collected and the recommendations made.
Centralization of multi-source data.
Application of proprietary neural networks.
Generate actionable recommendations based on your performance goals.
Two common situations among users seeking to diversify their income and structure their investment decisions.
How AI identifies high-potential passive return opportunities, by combining sectoral and macroeconomic indicators generally treated separately.
Using Termavise insights to validate or invalidate complex investment theses, prior to capital commitment.
Answers to the questions our users most often ask us before opening a professional account.
All data passes through and is stored under end-to-end encryption. Access to analytics environments is segmented by role and logged, in accordance with compliance requirements applicable to European financial actors.
The models deal with flows from equity markets, bond markets and alternative asset classes. Exact coverage depends on the data sources enabled for your account and can be adjusted according to your goals.
The recommendations and reports generated are exportable in standard formats and accessible via API for integration into your internal monitoring and reporting tools.
Join the professionals who are transforming data into a strategic asset today.