About
Building first-principles AI systems with measurable value.
Diogo Antunes is an applied AI scientist and founder working at the intersection of agent systems, data infrastructure, and product strategy. He focuses on deploying AI that is safe, auditable, and deeply aligned with business outcomes.
Through Vaisys and Antunes Principal, he advises enterprises and founders on long-term AI roadmaps, governance, and model evaluation. His research spans neuro-symbolic architectures, tokenization strategies, and efficient training pipelines for large-scale models.
He has led AI initiatives across security-focused environments, built transformer-based classification pipelines, and shaped data programs with tens of billions of tokens for specialized models.
Research themes
- Neuro-symbolic agent orchestration and safety primitives
- Tokenization engineering for hierarchical datasets
- Scalable training pipelines and distributed inference
- Security-first ML deployment and governance
Advisory focus
- AI roadmap strategy and architecture planning
- Evaluation frameworks for model reliability
- Executive alignment on data and infrastructure
- Ethical deployment and privacy stewardship