emotivae™ is a U.S.-based deep-tech company developing emotional and behavioral intelligence systems grounded in neuroscience and artificial intelligence.
We design technology that enables machines to understand human emotional and attentional states in real time — not as abstract data points, but as signals that evolve over time in real environments.
Founded in 2025 with a core focus on security and public safety, Emotivae’s technology has expanded to domains where emotional understanding enhances adaptive environments, human experience, and actionable insights for business decisions.
Artificial intelligence understands data.
emotivae makes it understand people.
Our vision is to become the emotional intelligence layer for machines — starting where it matters most: safety and security.
Once validated in high-risk environments, emotivae expands into domains where emotional understanding improves care, performance, and experience, from retail to assisted living.
Vision
Marco Baldocchi
Execution
Salem Amari
Scale
Marco Baseggio
Stewardship
Jorge Menendez
Governance
Danilo Santoboni
Our Committee in Action The Scientific Committee guides emotivae’s development by delivering independent scientific and ethical assessments. It oversees:
- Core technology and AI model evolution
- Research initiatives, with strong emphasis on neuroscientific validation and safe, real-world deployment
- Knowledge-sharing efforts, including partnerships, scientific events, publications, and ongoing dialogue with regulatory bodies and academic institutions
Our Guiding Commitment Established to keep Emotivae’s Emotion AI – built on cutting-edge neuroscience and instantaneous behavioral understanding – firmly rooted in responsibility, we place human dignity, security, and genuine benefit at the core.
Drawing from globally recognized trustworthy AI standards (including European guidelines), we prioritize:
- Human centric approach, meaningful oversight, and person-first design
- System resilience, accuracy, and dependable performance in everyday scenarios
- Strict privacy safeguards and ethical data practices (zero individual identification)
- Full clarity on what the AI can and cannot do
- Inclusivity, fairness, and proactive elimination of biases
- Broad societal value alongside environmental sustainability
- Robust accountability, traceability, and independent review processes
Alessia Dorigoni
