

What is Sesame?
Sesame is an AI voice companion that creates natural, lifelike conversations through emotional intelligence and contextual awareness. It recognizes speech nuances, adapts tone to match situations, and maintains consistent personality traits to help communicators, professionals, and everyday users interact with technology in a more human-like manner.
What sets Sesame apart?
Sesame sets itself apart with its dual hardware-software approach, combining AI voice technology with lightweight wearable eyewear designed for all-day use. This integrated system gives busy professionals and active individuals hands-free access to their personal AI companion throughout daily activities without needing to reach for a phone or device. Sesame fundamentally changes how humans and computers interact by making technology an unobtrusive yet ever-present ally in daily life.
Sesame Use Cases
- AI voice companion
- Personal digital assistant
- Hands-free conversation
- Voice-based organization
Who uses Sesame?
Features and Benefits
- Interact with a voice companion that understands emotional context and responds with natural conversational timing, pauses, and emphasis.
Natural Conversational Voice
- Access a conversational companion designed to keep you informed, organized, and help with daily tasks through natural dialogue.
Personal AI Assistant
- Connect with high-quality audio through eyewear designed for all-day wear, providing convenient access to your voice companion.
Lightweight Wearable Device
- Benefit from a companion that can observe your surroundings and provide contextually relevant assistance in real-time.
Environmental Awareness
- Experience conversations that maintain continuity and build upon previous interactions for more coherent and helpful exchanges.
Contextual Memory
Sesame Pros and Cons
Effectively boosts community engagement through gamification mechanics
Seamlessly automates social media campaign management across platforms
Simple setup process with intuitive interface for managing campaigns
Helps achieve marketing KPIs through automated engagement tracking
Social media verification system has reliability issues
Support team can be slow to respond to technical problems
Platform sometimes experiences performance slowdowns
Data integrity concerns with verification of user submissions