Fomentaje processes your company's financial history and converts it into concrete treasury allocation recommendations, with the same level of analysis used by institutional investors.
Most small businesses review their cash position manually and periodically, usually at the end of the month. During that interval, excess capital remains unallocated while markets move in real time. It is not a conscious decision not to invest: it is simply the absence of a system capable of analyzing that information continuously.
Large financial institutions already solved this problem years ago with their own models. Smaller companies compete with the same market conditions, but without the same access to predictive analysis.
The opportunity cost does not appear on any balance sheet. That's why it's so easy to ignore and so costly in the long run.
The system crosses market variables, macroeconomic indicators and the company's financial history to anticipate trend changes. The models are constantly recalculated, not in specific reports, which allows movements to be detected before they are reflected in traditional information channels.
All financial information is transmitted and stored under AES-256 encryption and TLS 1.3 protocols. The architecture is aligned with the requirements of the CNMV and the GDPR, so that no sensitive data is exposed during processing or storage.
The process is designed so that the company always maintains the final say on any capital movement. The system analyzes and recommends; The final execution decision rests with the person responsible for the account.
Encrypted connection to company accounts and data sources, with automatic normalization of financial information.
Construction of a model adjusted to the risk profile, available liquidity and time horizon declared by the company.
Recommendations are presented with their associated confidence level, ready for review and approval before any execution.
No recommendation is executed automatically without express confirmation. The model proposes, but the company decides; This reduces the risk of unsupervised algorithmic errors and keeps decision responsibility within the organization.
Each client's data is maintained under Spanish data sovereignty, without transfer to third parties outside the service. The logic of predictive models can be audited: recommendations derived from processes that cannot be explained are not provided.
An initial consultation allows you to review the volume of data available, the company's risk profile and whether the Fomentaje model fits your specific situation before making any commitment.
Initial consultation at no cost or obligation to continue.