against your own past performance, not arbitrary standards.
Makaeel Sheikh is the Founder & CEO of NūrAI, where he is leading the development of cutting-edge multimodal AI that transforms voice into real-time communication intelligence. Before launching NūrAI, he worked as a scientist at Genentech, gaining deep experience in data-driven research, biological systems, and advanced innovation pipelines. His scientific background allows him to bridge human communication and machine intelligence with precision and clarity.
A graduate of University of Pennsylvania with a focus on Biology, Makaeel brings a rare combination of scientific rigor and entrepreneurial vision. His mission is to empower people through accessible AI—enabling clearer speech, smarter communication, and meaningful human-machine interaction for everyone.
Raheem Sheikh is a Ph.D. student at the University of Pennsylvania, where he explores the intersection of translational biology, artificial intelligence, and human health. With a strong academic foundation in Biological Sciences and Behavioral Neurobiology, his research spans drug development, cancer therapeutics, and the biological mechanisms that shape how diseases emerge and evolve.
As the Co-Founder of NūrAI, Raheem brings his scientific mindset into the world of AI innovation. He works on building intelligent systems that decode human communication, emotional signals, and real-time behavioral patterns. His mission is to merge rigorous science with advanced AI—ultimately creating tools that deepen our understanding of ourselves and enhance how humans interact, express, and connect.
Elizabeth Shriberg, PhD is a leading scientist in spoken language technology and human machine communication. Her work spans prosody, conversational dynamics, emotion and cognitive state sensing, and the development of user aware AI systems that foster more natural and human centered interaction. She has held senior roles at SRI International, Microsoft Research, and Amazon Alexa, and previously served as Chief Science Officer at Ellipsis Health where she led speech based mental health assessment.
As a Senior Advisor at Nūr, Elizabeth guides the scientific foundations of vocal signal interpretation, ML validation, market and product readiness, and the integration of human behavior research into real world AI systems. Her career includes more than three decades of contributions to machine learning, affective computing, and conversational AI, as well as over 300 publications and patents.
Nūr transforms tone, pacing, and emotional delivery into clear, actionable insight.
Nūr is currently onboarding a small group of early members to shape the future of AI-powered communication coaching.
Join the waitlist to experience personalized voice insights.
Grounded in speech science, prosody research, and machine learning, developed with guidance from leaders in voice and behavioral analysis.
Users actively engaging with Nūr to understand and refine how they communicate across real conversations.
Nūr works silently in the background of real conversations, offering awareness without interruption, judgment, or performance pressure.
Conversations where users gained clearer delivery, stronger presence, or more consistent communication patterns.
Your communication data stays yours; securely processed, never sold, and designed to protect personal expression.
Nūr highlights tone, pacing, and responsiveness so you can see the subtle signals that shape interactions at work, home, or anywhere life takes you.
As an advanced AI voice coach, Nūr provides insights that go beyond simple tips, helping users improve the way they come across naturally.
Communication is regulated by the nervous system before it becomes conscious speech.
Nūr is grounded in behavioral science and neurophysiology, measuring vocal timing, rhythm, and stability as indicators of cognitive and emotional state. Longitudinal tracking allows meaningful change to emerge without forced correction.
The goal is not optimization.
It is regulation and awareness.
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