Map.
Read the input and locate the relevant coordinates in latent space.
AN AGENTIC OPERATING SYSTEM
The operating system for adaptable software, robotics, drones, autonomous vehicles, and extended reality glasses.
Explore the architecture ↗All offline. Inference entirely on CPU.
01 / THE SHIFT
Current frontier AI architectures face challenges in industries where unreliable outputs can carry serious consequences. Latency limits real-time responsiveness in self-driving vehicles, drones, robotics, and wearables.
Corporate privacy becomes another problem with frontier models largely running on cloud compute.
02 / THE ARCHITECTURE
Our proprietary neural network uses coordinate weight activation: read input, map it to exact coordinates in latent space, and push output—temporally, coordinate after coordinate.
Read the input and locate the relevant coordinates in latent space.
Activate the relevant coordinates to produce output, coordinate after coordinate.
Continually intake and output while internally testing weights, seeking new knowledge, and using cross-domain analogous reasoning—even offline.
Computer vision for robotics and drones. Biodata for XR glasses.
03 / THE SOLUTION
Inference running entirely on CPU.
Across 13,000 runs.
Longest autonomous task.
04 / APPLICATIONS
Adaptable software, robotics, drones, autonomous vehicles, and extended reality glasses.
Software that can evolve with its tasks and context.
Local intelligence for perception and responsive action.
On-device decision-making beyond a constant cloud connection.
Lightweight intelligence for context-aware glasses and wearables.
05 / OUR VISION
A proactive operating system built around recursive self-improvement and bespoke adaptability. Solve big problems for big companies first, then move to small and medium-sized businesses, and finally consumers.
helloworld@2dai.org ↗