Data Analysis for Generative AI Compliance

We provide technological solutions for the analysis and processing of large volumes of data used for training generative artificial intelligences

We are experts in

Big Data
Analysis Methodologies

Develop and apply effective analytical methods to extract meaningful insights from data

Deep analysis on data for your business. We can provide quality data for decision-making and input for machine learning for artificial intelligence.

Data Security

Assurance of data security, protection, integrity, and compliance.

Artificial Intelligence Compliance

Application of techniques to ensure security and compliance of artificial intelligence systems.

Ethics and Data Transparence

Adopt ethical practices in the collection, processing, and use of data, ensuring compliance with regulations and respect for privacy

Let us help you

Our approach

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Needs and Risks Assessment

Identify specific needs in your company that can be addressed

Development of Policies and Guidelines

Establish clear policies for the ethical and responsible use of generative artificial intelligence in your company.

Ethical and Diverse Training

Prepare data for machine learning training.

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Gradual Implementation and Continuos Monitoring

stablish a robust system of continuous monitoring to assess performance, security, and compliance over time.

Ensure reliable and available data for your company and your customers in business analyses and the development of responsible artificial intelligences.

How will you benefit?

Valeu generation through information
Improved productivity
Process automation
Data-driven innovation
AI Risk Management
Reduced costs

We’ve helped them

We've partnered with many household brand names to deliver insights and solutions to their problems with big data.

Happy clients

Don't just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

Isaque Gadelha

I work in data analysis and consulting for 13 years, meaning that we often need to use big and complex datasets to justify expensive investments for our clients.

Anna Claudio

As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. Lilo's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.

Contact us

Whether you have a request, a query, or want to work with us, use the form below to get in touch with our team.