My career has followed a single thread: understanding people through
the signals they give off — where they look, how their bodies respond,
what they feel — and using that to make technology that adapts to them. In
academia that meant over a decade of research on presence, empathy, and
physiological computing. At Meta Reality Labs it meant applying those ideas
to real product problems at scale.
Building companies is the natural next step. Embute Labs applies that
depth to organisations that need clear, evidence-based strategy on emerging
technology. AHUL takes the core research idea — that machines should be
aware of the humans they serve — and turns it into infrastructure.
“Where scientific rigour meets real-world execution.”
A boutique consultancy at the intersection of emerging technology and management consulting. Embute Labs investigates complex problems, translates frontier research into applied strategy, and builds solutions adapted to technological and human needs.
I lead the Emerging Technology Practice — spatial computing, XR, AI-driven systems, advanced UX research, and innovation roadmapping — alongside Dr. Pratiti Nath, who leads the Management Consulting Practice. Engagements are senior-led, with no junior handoffs.
- Emerging technology strategy
- Research program management
- Innovation & product strategy
- Market entry advisory
“Giving AI the ability to understand the humans in front of it.”
AI systems have become remarkably capable at reasoning, generation, and action, yet remain blind to the people they serve — unaware of cognitive state, engagement, attention, stress, fatigue, or physiological arousal. AHUL is building infrastructure that lets AI understand human context in real time, including cultural variation.
AHUL is where the research thread becomes a company: affective and physiological computing, multi-modal machine learning, and human-computer interaction, turned into platform infrastructure that other products can build on. It is early-stage, incorporated in 2026.
- Affective computing
- Multi-modal machine learning
- ML infrastructure & APIs
- Cross-cultural AI