About FaceMed

One FaceMed.ai.
Human intelligence,
applied.

FaceMed develops AI systems that interpret human information from conversation, video and physiological signals. PIC is our automotive physiological-intelligence platform.

Our automotive thesis

Intelligent vehicles need to understand more than the road.

Automotive perception has advanced rapidly around the environment and visible human behaviour. We believe physiology can become a complementary input—if it is integrated carefully, validated on the target platform and used within clear boundaries.

PIC

Physiological Intelligence Cockpit

A sensing and intelligence layer that helps the vehicle ask not only “What is the person doing?” but “What is happening physiologically?”

Relevant foundation

What FaceMed brings from its wider AI platform.

Multimodal inputs, reviewable outputs and integration into established workflows connect our work in healthcare and automotive. Vehicle safety applications require their own evidence.

MULTIMODAL AI

More than one source of evidence

Experience combining video, structured information and AI outputs while keeping human review and system boundaries explicit.

PHYSIOLOGICAL VIDEO

Temporal human signals

Long-running work in extracting and evaluating physiological information from facial video.

DEPLOYMENT DISCIPLINE

Workflow-aware products

A product philosophy built around fitting an existing workflow rather than asking the customer to replace it.

The Team

Built by a team with deep experience in clinical AI.

Our founding team brings together decades of experience across clinical AI, digital health product development, technology and commercial execution.

McKinsey & CompanyAlibabaSamsungTemasekStanford UniversityUniversity of ChicagoTsinghua University
Medical and scientific context

Clinical perspectives inform our work.

FaceMed’s medical advisory network brings clinical and scientific perspectives to how we design human-state technology. The institutions below are advisors’ affiliations, not customer or endorsement claims.

Harvard Medical SchoolJohns Hopkins MedicineYale UniversityUCSF HealthMass General BrighamKing's College London

Meet the team behind PIC.

Discuss your platform, use case and the evidence required for a credible next step.

Contact FaceMed Automotive ↗