Data-Centric AI for your business

Conducting comprehensive assessments of client data to identify realistic AI use cases and validate the feasibility of potential AI projects, ensuring alignment with data readiness, technical constraints, and business goals.

Data Readiness for AI: Data quality, preparation, and bias mitigation; Model Development: Custom ML/DL models, LLM fine-tuning, RAG systems, and AI agents tailored to client needs; Operational Excellence: MLOps and LLMOps for streamlined model deployment, scaling, and maintenance; AI Compliance: Ensure AI Act conformity through model cards, fairness metrics, and explainability.

Synthetic Data generation experiments and pipeline setup for diverse applications such as: - Data enrichment - LLM training & Fine-tuning - Privacy - Software testing - Synthetic Data monetization - GenAI for simulations

Empowering AI knowledge through hands-on workshops and expert-led training. Our tailored programs help teams develop AI competencies, from foundational principles to advanced applications, including data-centric AI, model evaluation, and synthetic data generation. Designed for technical and non-technical professionals, our sessions provide practical skills and real-world insights to accelerate AI adoption within your organization.

Pioneering AI Advancements: Dedicated research projects in Trustworthy AI, Generative AI, and Synthetic Data, advancing industry standards and exploring novel applications.