Mind Machine Learning
Generate Unique AI AvatarAI PersonaAI Human
We are Building the World's First Virtual Platform with AI Foundation Model Driven Avatars
Planned SDK Support
What We Do
Unleash Your Imagination
Generate Infinite Possibilities
Our AI Avatars
Bring Your World to Life
We are building the world's first virtual platform with AI Foundation Model Driven Avatars that allows for generating multi-modal human emulated synthetic sense data for vision, hearing, touch and spatial awareness providing a means for foundation models to learn the likeness of being embodied, and allowing them to have proprioception.
Fully Unique
No More Simplistic, Mundane and Boring NPCs
- Create a Fantastic Experience and Elevate Your Digital World
- No More Tedious and Costly Creation of Unrealistic Avatars
- Create a New Form of Intelligent Life with MML AI Avatar
Why Choose Us
Fully Customizable Intelligent Human Like Avatars with Effortless Platform Integration
Our Avatars Have Human-Like Senses
Vision, hearing, touch, and spatial awareness senses
Digital Interaction
Revolutionize future of digital human interactions such as virtual object manipulation. AI Avatar controls its movement, gaze, and speech
Multi-Modal AI
Integrate multi-modal AI technologies, including LLM, Vision Models, and GenAI
Hybrid Cloud
Hybrid cloud computing approach to overcome gaming system compute and memory limits
Seamless Integration
SDKs provide seamless integration into various development platforms
Team
Bassam Beldjoudi
AI Research Engineer
Software developer with expertise in Deep Learning and Computer Vision. Projects included panoramic scene construction and detection of pedestrians using AI and OpenCV. Master’s, Artificial Intelligence from University of Jijel
Brian Hart
CEO and Co-founder
Expert in AI and Software Engineering with significant experience in iOS and macOS platforms. Developed Embodied AI and Synthetic Sense Data generation. Previously worked at McAfee and other tech companies.
Intellectual Property
Granted US and China Patent: Systems And Methods For Simulating Sense Data And Creating Perceptions
Non Provisional Patent Application: Systems and methods for training neural networks by generation of synthetic modal and multi-modal sense data and motion signaling data.
2000+ hours invested in development: Avatar vision, Speech, Hearing, Spatial audio, Touch, Energy model (WIP), Game Engine Syncing, Post processing, Node editor
Premises
Foundation models require comprehensive sensory data to fully learn perceptual categories.
To perceive themselves and the world effectively, foundation models need to be embodied and capable of interaction.
For AGI to be human centric it must grasp human experiences authentically, an embodiment mirroring the human form is essential, be it through a virtual avatar or a physical robot. Virtual avatars hold the advantage of scalable learning through additional computing power, and their senses can be emulated with greater precision.
AI Avatar Innovation
Leading in AI avatar creation with human-like senses
Creating multi modal sense data for foundation model training
Reshape the future of digital human interactions
POC: Avatar Sensory Representation
A: Rigged avatar gazing at an eye chart
Detailed sensory views: B: Narrow: ~2 degree FOV C: Wide-angle: 178°V X 135°H FOV
B&C: Post-processed for realistic foveated vision by stitching and foveating the frames
