Empowering
the Future of
Empowering
the Future of
Distributed AI
Distributed AI
BevelCloud is a distributed AI cloud infrastructure designed to create and deploy accurate, real-time, privacy-preserving AI applications at the point of care - hospital, clinic, imaging center or ambulance - globally
Centralized AI Architectures Will Never Work
in Healthcare and Life Sciences
The size of data is significantly larger
Ultrasounds studies are 1TB.
Security requirements are much stiffer
Breaches involving over 500 individuals must be publicly disclosed
Privacy requirements are much stricter
Norway does not want Norwegian data leaving Norway.
Centralized AI Architectures Will Never Work in Healthcare and Life Sciences
The size of data is significantly larger
Ultrasounds studies are 1TB.
Security requirements are much stiffer
Breaches involving over 500 individuals must be publicly disclosed
Privacy requirements are much stricter
Norway does not want Norwegian data leaving Norway.
Centralized AI Architectures
Will Never Work
in Healthcare and Life Sciences
The size of data is significantly larger
Ultrasounds studies are 1TB.
Security requirements are much stiffer
Breaches involving over 500 individuals must be publicly disclosed
Privacy requirements are much stricter
Norway does not want Norwegian data leaving Norway.
Rather Than Move Data to the AI Application,
Rather Than Move Data to the AI Application,
Rather Than Move Data to the AI Application,
Move the AI Application to the Data
Move the AI Application to the Data
Move the AI Application to the Data
Real-time Privacy Preserving
Image Sharing Applications
Real-time global image sharing from the point of care
Real-time Privacy Preserving
Image Sharing Applications
Real-time global image sharing from the point of care
Real-time Privacy Preserving
Image Sharing Applications
Real-time global image sharing from the point of care
Real-time Privacy Preserving
Inference Applications
AI running at the point of care in a hospital clinic or ambulance
Real-time Privacy Preserving
Inference Applications
AI running at the point of care in a hospital clinic or ambulance
Real-time Privacy Preserving
Inference Applications
AI running at the point of care in a hospital clinic or ambulance
Real-time Privacy Preserving
Learning Applications
Improve accuracy of AI applications to bring them from the research bench to the bedside
Real-time Privacy Preserving
Learning Applications
Improve accuracy of AI applications to bring them from the research bench to the bedside
Real-time Privacy Preserving
Learning Applications
Improve accuracy of AI applications to bring them from the research bench to the bedside
What Experts Say About BevelCloud
“If we want to go from using 2-3% of the world's data to 95%, distributed AI is the way forward. Technology from places like Bevelcloud and Flower that specialize in distributed AI infrastructure will speed that day arriving”
Nic Lane, PhD
Co-founder and CSO Flower, Professor, Cambridge
"As we see more advancements in hardware and encryption technologies, I believe we'll reach a point where secure, distributed AI becomes the norm rather than the exception."
Prashant Shah
Chief Technology Officer, Federated Machine Learning, Intel
"We train models across millions or billions of devices while keeping user data on the device. Google never sees the raw data; instead, only model updates or gradients are shared. I'm excited to see Federated Learning being used in BevelCloud to enable the same for healthcare and life science."
Hugo Song
Product Manager, Google Research
"This is phenomenal! Privacy-preserving, real-time AI that can run in the hospital clinic or ambulances is next-level!”
Jennifer Lee
MD, PhD, Professor of Medicine, Stanford University
"Hats off to this! Creating a global, distributed AI cloud infrastructure is groundbreaking.”
Oliver Saldanha
Post Doc and Team Lead
"Industries like finance, insurance and any sector dealing with IP protection or regulatory constraints can benefit from distributed AI. Bevelcloud will accelerate distributed AI in healthcare"
Andrew Wheeler
Director of HPE Labs, HPE
"Bitfount allows multiple organizations to collaborate without compromising privacy. Running Bitfount on BevelCloud will unlock value from healthcare data that would otherwise remain untapped due to privacy concerns."
Matt Siegel
Head of Engineering, Bitfount
“If we want to go from using 2-3% of the world's data to 95%, distributed AI is the way forward. Technology from places like Bevelcloud and Flower that specialize in distributed AI infrastructure will speed that day arriving”
Nic Lane, PhD
Co-founder and CSO Flower, Professor, Cambridge
"As we see more advancements in hardware and encryption technologies, I believe we'll reach a point where secure, distributed AI becomes the norm rather than the exception."
Prashant Shah
Chief Technology Officer, Federated Machine Learning, Intel
"We train models across millions or billions of devices while keeping user data on the device. Google never sees the raw data; instead, only model updates or gradients are shared. I'm excited to see Federated Learning being used in BevelCloud to enable the same for healthcare and life science."
Hugo Song
Product Manager, Google Research
"This is phenomenal! Privacy-preserving, real-time AI that can run in the hospital clinic or ambulances is next-level!”
Jennifer Lee
MD, PhD, Professor of Medicine, Stanford University
"Hats off to this! Creating a global, distributed AI cloud infrastructure is groundbreaking.”
Oliver Saldanha
Post Doc and Team Lead
"Industries like finance, insurance and any sector dealing with IP protection or regulatory constraints can benefit from distributed AI. Bevelcloud will accelerate distributed AI in healthcare"
Andrew Wheeler
Director of HPE Labs, HPE
"Bitfount allows multiple organizations to collaborate without compromising privacy. Running Bitfount on BevelCloud will unlock value from healthcare data that would otherwise remain untapped due to privacy concerns."
Matt Siegel
Head of Engineering, Bitfount
“If we want to go from using 2-3% of the world's data to 95%, distributed AI is the way forward. Technology from places like Bevelcloud and Flower that specialize in distributed AI infrastructure will speed that day arriving”
Nic Lane, PhD
Co-founder and CSO Flower, Professor, Cambridge
"As we see more advancements in hardware and encryption technologies, I believe we'll reach a point where secure, distributed AI becomes the norm rather than the exception."
Prashant Shah
Chief Technology Officer, Federated Machine Learning, Intel
"We train models across millions or billions of devices while keeping user data on the device. Google never sees the raw data; instead, only model updates or gradients are shared. I'm excited to see Federated Learning being used in BevelCloud to enable the same for healthcare and life science."
Hugo Song
Product Manager, Google Research
"This is phenomenal! Privacy-preserving, real-time AI that can run in the hospital clinic or ambulances is next-level!”
Jennifer Lee
MD, PhD, Professor of Medicine, Stanford University
"Hats off to this! Creating a global, distributed AI cloud infrastructure is groundbreaking.”
Oliver Saldanha
Post Doc and Team Lead
"Industries like finance, insurance and any sector dealing with IP protection or regulatory constraints can benefit from distributed AI. Bevelcloud will accelerate distributed AI in healthcare"
Andrew Wheeler
Director of HPE Labs, HPE
"Bitfount allows multiple organizations to collaborate without compromising privacy. Running Bitfount on BevelCloud will unlock value from healthcare data that would otherwise remain untapped due to privacy concerns."
Matt Siegel
Head of Engineering, Bitfount
130+ Research Projects
Ready to Transform Healthcare
BevelCloud has created AppCommons to showcase the leading edge AI in medicine research projects from around the world.
What they all have in common is the neural networks were trained on small data sets. All could use a distributed AI infrastructure to deploy to the point of care and improve accuracy while preserving privacy.
130+ Research Projects
Ready to Transform Healthcare
Many research projects in healthcare show great promise but are held back by small, isolated datasets that limit real-world performance.
BevelCloud’s App Commons tells the story of over 130 research projects that are ready to scale with distributed AI.
130+ Research Projects
Ready to Transform Healthcare
BevelCloud has created AppCommons to showcase the leading edge AI in medicine research projects from around the world.
What they all have in common is the neural networks were trained on small data sets. All could use a distributed AI infrastructure to deploy to the point of care and improve accuracy while preserving privacy.
How BevelCloud Works
Built with 9 essential technical features with the support of over 50 leading clinicians worldwide.
Designed with a governance framework and a scalable, flexible technical architecture to support the future of healthcare and life sciences.
Stay up to Date with
the Future of Distributed AI
Newsletter
Get updates on our progress and cutting-edge insights from the field.
Podcast
Hear directly from leading technologists shaping the future of distributed AI.
Stay up to Date with
the Future of Distributed AI
Newsletter
Get updates on our progress and cutting-edge insights from the field.
Podcast
Hear directly from leading technologists shaping the future of distributed AI.
Stay up to Date with
the Future of Distributed AI
Newsletter
Get updates on our progress and cutting-edge insights from the field.
Podcast
Hear directly from leading technologists shaping the future of distributed AI.