top of page
Full Network_edited_edited.jpg

SYNTHETIC INTELLIGENCE @ THE EDGE

edge.001.jpeg

THE CHALLENGE

Learning at the edge 

  • 90 ZettaBytes (>50% of all data) will be generated in edge IoT devices by 2025.

  • ML and AI training at the edge are constrained by limited resources - compute, memory, and bandwidth. ​

  • Compute demands for training in the cloud are unsustainable and double every 3-4 months.

  • Data latency precludes real-time decision making, inflates costs and increases privacy and security risks.​​

 

OUR SOLUTION

Synthetic intelligence

  • Offers a new paradigm of energy-efficient information processing in scalable and reconfigurable functional materials  

  • Leverages self-organization in a brain-inspired, nanoscale architecture enabling real-time dynamic adaptation to edge data streams

  • Pushes the limits of classical computation beyond current analog and neuromorphic hardware

IMG_0869_edited.jpg

Meet The Team

Natesh Ganesh_EmergentiaPhoto.jpg

Natesh Ganesh

Founder

  • Grey LinkedIn Icon
ZdenkaKuncic_hires_edited_edited_edited.

Zdenka Kuncic

Founder

  • Grey LinkedIn Icon
Adam_edited.jpg

Adam Stieg

Founder

  • Grey LinkedIn Icon
bottom of page