Empower your business with cutting-edge machine learning

No! We always use paid or pro versions that do not share sensitive information. All of these tools are in full compliance with applicable privacy laws and regulations. In addition to that, we make sure to configure every tool with the proper security controls and industry best practices and standards in order to protect every customers’ data.

We develop AI models ethically and safely, following strict protocols for the protection of client data. We use public and anonymous databases for initial training and refine with synthetic or open-source data. The models are constantly monitored to maintain their integrity.

e-Core adheres to key privacy regulations like LGPD, GDPR, CCPA, and HIPAA by implementing robust data protection measures. We obtain user consent and conduct DPIAs (Data Protection Impact Assessment) for projects involving personal data. 

Data, according to need and application, is anonymized, encrypted and kept in a secure environment through cloud providers such as AWS. Our clients can manage their data and request manual reviews of automated decisions. Transparency and continuous employee training ensure compliance and security.

There are several actions to achieve that, such as:

Extensive offline testing: before going into production, the models undergo various tests using synthetic data to ensure accuracy.

In-production monitoring: we continuously track the performance and outputs of the models to detect deviations.

Human review: all forecasts are checked by experts before being delivered to clients.

Continuous model training: we incorporate customer feedback to regularly improve and re-train the models.

Transparent documentation: we record and report the known capabilities and limitations of the forecasts.

Security: regular testing of vulnerabilities and compliance with standards.

At e-Core, we take the ethical and responsible use of artificial intelligence very seriously. Before putting any model into production, we carry out extensive bias tests using established methodologies to identify and correct possible unfair biases.

We also incorporate transparency and explainability mechanisms into our models, providing documentation and tools that allow decisions and outputs to be understood.

In addition, we continuously monitor the models in use for ethical problems and are always open to feedback from clients. If biases or unethical decisions are identified, we have robust processes in place to investigate the causes, suspend the use of the models and update the algorithms to resolve these issues.

We are committed to ensuring that our AI systems reflect our highest ethical values. We believe that AI should benefit everyone in a fair, transparent and accountable way.

The integration of AI tools, such as ChatGPT Plus or GitHub Copilot Business, increases operational efficiency, improves code quality and facilitates data-driven decision-making. These tools are aligned with e-Core’s focus on customer-centric solutions and enable business acceleration and transformation.