¿Cómo se protegen los datos que introduzco en la plataforma?

Los datos se transmiten cifrados en tránsito y se almacenan cifrados en reposo. El acceso interno está segmentado por roles, de forma que solo el personal autorizado para una función concreta puede consultar la información asociada a ella.

¿Cuánto tarda una retirada de fondos?

Kapitecto no aplica periodos de bloqueo propios sobre el capital gestionado. El tiempo real de ejecución depende de la liquidez del activo subyacente y de los plazos operativos de la entidad custodia correspondiente, que se muestran antes de confirmar la solicitud.

¿Qué precisión tienen los modelos predictivos?

Los modelos se revisan y ajustan de forma continua comparando sus estimaciones con los resultados observados, pero ninguna recomendación constituye una garantía de rendimiento. Se presentan como apoyo a la decisión, junto con los datos que las justifican.

¿Cómo se estructuran las tarifas de la plataforma?

La estructura de tarifas se detalla antes del registro y depende del volumen de datos analizado y de las funciones activadas. No se aplican cargos adicionales no informados previamente al usuario.

Kapitecto: financial data analysis panel with artificial intelligence

Financial decisions informed by data, with liquidity when you decide

Kapitecto analyzes large volumes of market information in real time and generates recommendations to support your capital allocation decisions. You maintain control over execution and when to withdraw your funds, without mandatory lock-in periods.

Start analysis Explore platform

The panel shows the evolution of your data, the status of the predictive models and the history of recommendations issued, always separating the analysis from the execution of any operation.

The usual problem

Manual data analysis slows down decision making

Traditional reports arrive with a delay compared to real market movements.
Consolidating data from different sources requires time and specialized personnel.
Many investment vehicles impose blackout periods that limit the ability to react.
Fragmented panels make it difficult to compare scenarios before deciding.

The optimization layer

A model that processes and you that decides

Kapitecto continuously ingests market data and applies predictive models to identify relevant patterns. The result is a structured recommendation, not an automatic order: the final execution always depends on your confirmation.

This separation between analysis and execution allows each recommendation to be audited and understand the data that supports it before acting.

Liquidity without conditions

The capital managed through Kapitecto is not subject to fixed terms. You decide when to withdraw your funds, within the operating conditions of each underlying asset.

Technical capabilities

Four components that support each recommendation

Predictive analytics

Models trained on historical series and ongoing market data, aimed at estimating probable scenarios and their range of variation, not at guaranteeing results.

Risk mitigation engine

It evaluates the exposure of each position to different market factors and indicates concentrations that should be reviewed before making a decision.

Real-time data ingestion

Connect market sources and the user's own data to keep models fed with up-to-date information throughout the analysis session.

Automated reports

Generates periodic summaries with details of the recommendations issued, the data considered and the changes compared to the previous period.

How it works

The journey of a piece of data, from its origin to the recommendation

Data integration

Market feeds are connected and, if the user authorizes it, their own position records. The data is normalized before entering the model.

Model refinement

The algorithms adjust their parameters with each new data cycle, comparing the predicted behavior with the observed one to correct deviations.

Output into usable information

The result is translated into a recommendation with its data justification, available in the panel so that the user can decide whether to execute it.

About Kapitecto

An analysis layer, not a manager that decides for you

Kapitecto was built for professionals who manage their own or third-party capital and who need to process more information than they can review manually. The platform centralizes the relevant data and presents the model's conclusions in a readable way, without replacing the user's judgment.

The team maintains the distinction between analysis and execution as a design principle: models propose, user confirms.

Kapitecto team reviewing data analysis models

Frequently asked questions

Questions that usually arise before starting

How is the data I enter on the platform protected?

Data is transmitted encrypted in transit and stored encrypted at rest. Internal access is segmented by roles, so that only personnel authorized for a specific function can consult the information associated with it.

How long does a withdrawal take?

Kapitecto does not apply its own lock-up periods on the managed capital. The actual execution time depends on the liquidity of the underlying asset and the operational deadlines of the relevant custodian entity, which are displayed before confirming the request.

How accurate are predictive models?

Models are continually reviewed and adjusted by comparing their estimates with observed results, but no recommendation is a guarantee of performance. They are presented to support the decision, along with the data that justify them.

How are platform fees structured?

The fee structure is detailed before registration and depends on the volume of data analyzed and the features activated. No additional charges not previously informed to the user are applied.

Next step

Review your data before deciding how to allocate your capital

Registration gives you access to the analysis panel, where you can connect your data sources, review the first recommendations of the model and check under what conditions you can request a withdrawal of funds at any time.