Insights

Durham Company Leads the way in Medical AI

“It is great to be leading the world in software development for AI...”
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A Leap Forward in Best Practice for Medical AI Development

Some of the world’s most influential governments in medical regulation have released guidelines for machine learning practices used in the development of medical Artificial Intelligence (AI).
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Interview with Dr Phil Jackson, Software Engineer

Have you ever wondered what it’s like working at gliff.ai? We asked our Software Engineer, Dr Phil Jackson, about his experience.
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Using gliff.ai to Realise the Potential of OCT Data

The aim of the OCT data project is to create a ground-truth annotated dataset that would be utilised for the future development of fully automated AI tool capable of segmenting and quantifying different features in retina images and scans...
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gliff.ai Launches Innovative Platform for Developing Trustworthy AI

gliff.ai has launched its innovative software platform, specifically designed to assist the development of trustworthy Artificial Intelligence (AI) by addressing the gap for much-needed Machine Learning Operations (MLOps) products.
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Laptop, book and smartphone chained together

Keeping your data secure and private with end-to-end encryption

We at gliff.ai believe that data privacy and security is paramount for the future of FATEful AI.
Group 2

Durham Company Leads the way in Medical AI

“It is great to be leading the world in software development for AI...”
Group 2

A Leap Forward in Best Practice for Medical AI Development

Some of the world’s most influential governments in medical regulation have released guidelines for machine learning practices used in the development of medical Artificial Intelligence (AI).
Group 2

Interview with Dr Phil Jackson, Software Engineer

Have you ever wondered what it’s like working at gliff.ai? We asked our Software Engineer, Dr Phil Jackson, about his experience.
Group 2
Close up of a person's eye

Using gliff.ai to Realise the Potential of OCT Data

The aim of the OCT data project is to create a ground-truth annotated dataset that would be utilised for the future development of fully automated AI tool capable of segmenting and quantifying different features in retina images and scans...
Group 2

gliff.ai Launches Innovative Platform for Developing Trustworthy AI

gliff.ai has launched its innovative software platform, specifically designed to assist the development of trustworthy Artificial Intelligence (AI) by addressing the gap for much-needed Machine Learning Operations (MLOps) products.
Group 2
Laptop, book and smartphone chained together

Keeping your data secure and private with end-to-end encryption

We at gliff.ai believe that data privacy and security is paramount for the future of FATEful AI.
Group 2
A hand holding a compass

AI in MedTech — What are we actually doing?

The use of artificial intelligence in medicine and healthcare is thought to be capable of freeing up large quantities of an expert’s time by undertaking exacting and laborious work, saving significant sums of money, improving diagnostic outcomes and democratising medicine by making the world’s experts available globally inside a computer.
Group 2
Blank jigsaw with a piece missing

The missing people in MLOps

MLOps brings together scientists who develop these early stage AI systems with engineers and operations experts who are able to convert these AI models into reliable and scalable products such as apps on your phone or smart microscopes in the hospital.
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‘Coded Bias’ brings bias in AI into mainstream

Coded Bias successfully demonstrates why unregulated, ill-thought-out and opaque approaches to developing AI can easily lead to flawed models that may not only discriminate against certain groups of society but also fail drastically to meet the applications’ original objectives.
Group 2

Durham Company Leads the way in Medical AI

“It is great to be leading the world in software development for AI...”

A Leap Forward in Best Practice for Medical AI Development

Some of the world’s most influential governments in medical regulation have released guidelines for machine learning practices used in the development of medical Artificial Intelligence (AI).

Interview with Dr Phil Jackson, Software Engineer

Have you ever wondered what it’s like working at gliff.ai? We asked our Software Engineer, Dr Phil Jackson, about his experience.
Close up of a person's eye

Using gliff.ai to Realise the Potential of OCT Data

The aim of the OCT data project is to create a ground-truth annotated dataset that would be utilised for the future development of fully automated AI tool capable of segmenting and quantifying different features in retina images and scans...

gliff.ai Launches Innovative Platform for Developing Trustworthy AI

gliff.ai has launched its innovative software platform, specifically designed to assist the development of trustworthy Artificial Intelligence (AI) by addressing the gap for much-needed Machine Learning Operations (MLOps) products.
Laptop, book and smartphone chained together

Keeping your data secure and private with end-to-end encryption

We at gliff.ai believe that data privacy and security is paramount for the future of FATEful AI.
A hand holding a compass

AI in MedTech — What are we actually doing?

The use of artificial intelligence in medicine and healthcare is thought to be capable of freeing up large quantities of an expert’s time by undertaking exacting and laborious work, saving significant sums of money, improving diagnostic outcomes and democratising medicine by making the world’s experts available globally inside a computer.
Blank jigsaw with a piece missing

The missing people in MLOps

MLOps brings together scientists who develop these early stage AI systems with engineers and operations experts who are able to convert these AI models into reliable and scalable products such as apps on your phone or smart microscopes in the hospital.

‘Coded Bias’ brings bias in AI into mainstream

Coded Bias successfully demonstrates why unregulated, ill-thought-out and opaque approaches to developing AI can easily lead to flawed models that may not only discriminate against certain groups of society but also fail drastically to meet the applications’ original objectives.