Research & Innovation
Explore emerging AI technologies
We focus on applied research: evaluation, reliability, deployment patterns and practical experimentation.
Research Directions
Topics we explore to keep programs aligned with real-world evolution.
LLM Evaluation & Reliability
How to measure quality, reduce hallucinations, design robust prompts and test RAG pipelines.
MLOps & Continuous Delivery
From experiment tracking to CI/CD, monitoring, drift detection and retraining strategies.
Data Quality & Governance
Validation rules, lineage, privacy-aware pipelines and safe data handling.
Edge & Efficient AI
Optimization, quantization and lightweight inference strategies.
Interested in collaborating?
Partnerships, guest talks, and co-developed projects are welcome.