Software for Healthcare AI

Teams can easily build datasets and models for trustworthy applications with gliff.ai’s low-code/no-code, easy-to-use software for healthcare AI.

Develop your high-quality imaging dataset

A high-quality AI requires high-quality training data. gliff.ai’s platform enables teams to work together to embed knowledge into their imaging datasets. Our interface is designed to be easy and quick to use, ideal for busy clinicians and healthcare professionals.

A high-quality AI requires high-quality training data. gliff.ai’s platform enables teams to work together to embed knowledge into their imaging datasets. Our interface is designed to be easy and quick to use, ideal for busy clinicians and healthcare professionals.

“It is really user friendly and easy to use and every button is self explanatory. It is much easier than previous tools I used that were not as interactive and friendly like this one.”
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Senior Consultant
Ophthalmology Department, NHS

Implement best practices across your AI product lifecycle

At gliff.ai, we believe in developing AI for the real world. For medical practitioners and patients to benefit, AI applications need to be trustworthy. And to achieve that, best practices must be implemented throughout the product’s lifecycle. gliff.ai’s software for healthcare AI is designed with these requirements in mind.

icon - gliff.ai - software for healthcare AI
github logo

gliff.ai is open-source.

You can find our code on GitHub.

At gliff.ai, we believe in developing AI for the real world. For medical practitioners and patients to benefit, AI applications need to be trustworthy. And to achieve that, best practices must be implemented throughout the product’s lifecycle. gliff.ai’s software for healthcare AI is designed with these requirements in mind.

github logo

gliff.ai is open-source.

You can find our code on GitHub.

End-to-End Encryption

Helping Teams Collaborate

Annotating OCT Data

Good ML Practice Principes

End-to-End Encryption

Helping Teams Collaborate

Annotating OCT Data

Good ML Practice Principes

Train and test your AI with low-code/no-code

Users can download their datasets at any time, which can then be used with other programmes like TensorFlow and Google’s AutoML. gliff.ai is currently expanding its software for healthcare AI, so later in 2022 you can use gliff.ai to:

doctor representing a user of gliff.ai's software for healthcare AI

Users can download their datasets at any time, which can then be used with other programmes like TensorFlow and Google’s AutoML. gliff.ai is currently expanding its software for healthcare AI, so later in 2022 you can use gliff.ai to:

Software for healthcare AI so you can:

CURATE

combine 1000s of images and annotations, with the ability to assign users and labels to images

ANNOTATE

capture knowledge using intuitive tools through image-level, region-level and pixel-level annotation

MANAGE

manage teams, including assigning projects and images to individuals and then monitoring progress

AUDIT

access and download complete histories of datasets, annotations & AI models

AUTOMATE

streamline and accelerate your data preparation by easily importing custom plug-ins and code

TRAIN

train your AI model using your dataset to create a fully-functioning AI (available later in 2022)

Microsoft Windows

mac

Linux

icon - gliff.ai - software for healthcare AI

Cloud-based service

(single tenant or multi-tenant) 

or on-premises deployment.

icon - gliff.ai - software for healthcare AI

Compatible with tablet devices.

Develop datasets from any location,

in an office or in the field. 

Microsoft Windows

mac

Linux

Cloud-based service (single tenant or multi-tenant) or on-premises deployment.

Compatible with tablet devices. Develop datasets from any location, in an office or in the field. 

Microsoft Windows, mac, and Linux

Cloud-based service (single tenant or multi-tenant) or on-premises deployment.

Compatible with tablet devices. Develop datasets from any location, in an office or in the field. 

Start using gliff.ai’s software for healthcare AI today: