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Synthetic Data Creation

Data creation, Data related services

Advanced AI tools and technical support for generating high-fidelity, simulated datasets at scale.

  • HPC-Optimized Generation: Specialized solutions delivered on high-performance computing environments with optimized, ready-to-use infrastructures.
  • Generative Model Support: Expert assistance for research groups and companies in developing, fine-tuning, and deploying custom generative models.
  • Flexible Access: Support for technically independent users and those requiring managed specialized support, moving soon to secure GPU-enabled cloud environments.

Key Value: Overcoming data scarcity and privacy constraints by creating realistic, validated datasets for robust AI training and testing.

Practical example

Scenario: Augmenting Specialized AI Training Organizations often face “cold-start” problems where real-world data is restricted or insufficient.

This service facilitates, among other activities:

  • Healthcare NLP: Generating large corpora of simulated Q&A pairs from official medical sources to fine-tune virtual assistants, with expert verification of medical entities.
  • Computer Vision Validation: Expanding small image samples into massive datasets for smart manufacturing, simulating varied conditions like rotation, lighting, and noise to test automatic label reading.

Case Study: The service supports a SME in creating a corpus of thousands of clinically-inspired dialogue pairs, allowing them to train a specialized medical assistant without compromising patient privacy or waiting months for manual data collection.

Service name

Synthetic Data Creation

Service Code

2025-AIF-DATA-08

Keyword

High-fidelity simulation, Cold-start mitigation

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