Turning Data into Insights through Artificial Intelligence

At CarDone Digital, we explore how artificial intelligence can help businesses and organizations make sense of complex data.
Our goal is to bridge the gap between technical understanding and actionable insights — from structured data processing to intelligent document interpretation.

Our Competence Areas

• Natural Language Processing (NLP):
  Applying large language models (LLMs) to understand and summarize text-based data such as reports, diagnostics, or technical documents.

• Predictive Data Analysis:
  Exploring time-based data patterns to identify trends, anomalies, or early indicators of change — applicable in healthcare, engineering, and production contexts.

• Data Architecture & Integration:
  Designing scalable pipelines for secure, anonymized data handling and preparation for AI-based analysis.

• Feasibility & Evaluation:
  Assessing the potential of existing AI models (e.g. GPT-4, MedPaLM, BioGPT) for specific use cases before investing in model training or product development.

Current Initiatives

We are conducting internal feasibility studies to evaluate how AI-driven language and data models can support the structured analysis of complex datasets, such as medical or technical records.
These studies form the foundation for future collaborations with research and industry partners in data analytics and digital health.

Our Approach

Our approach combines domain expertise, software engineering, and data science.
By leveraging existing AI technologies responsibly and securely, we help organizations explore the potential of intelligent data analysis without compromising privacy or regulatory standards.

Get in Touch

Interested in exploring AI opportunities for your organization?
We offer consulting, feasibility studies, and prototype development to help companies evaluate and integrate AI into their workflows.

Contact us today!