Using our MLOps software, it’s easy to develop and share large 2D and 3D imaging data. Our platform is also secure and end-to-end encrypted (so only your team will ever see your data).
Our user-friendly, open-source platform is available to anyone needing image analysis software to create machine learning datasets – from academic researchers and data scientists, to blue chip companies and SMEs.
Build your
trustworthy AI, together
Artificial Intelligence (AI) needs to be properly designed…
That’s why gliff.ai helps teams come together in one platform where they can embed their knowledge into high-quality, auditable datasets which can be used for building world-changing and trustworthy AI.
curate.
annotate.
collaborate.
We believe that Artificial Intelligence (AI) can improve the lives of people worldwide. But AI needs to be properly designed by domain and data experts working together. At gliff.ai we help teams come together to build and deploy world-changing AI, all in one platform.
Our user-friendly tools ensure that the world’s experts can combine their data and embed their knowledge into high quality AI datasets. These datasets can then be used by data scientists to develop new AI models. gliff.ai is building a toolchain of products that supports teams, from the dataset through to the developed AI model.
Using gliff.ai, you can:
- CURATE 1000’s of images
- ANNOTATE and label images to capture knowledge
- MANAGE your team and collaborators
- AUDIT your projects and access dataset versioning
- REGISTER AI models and training histories *
* Our fifth product, REGISTER, will be available later in 2021.
Open Source
Our software is open source.
Join the global community working on our software.
Effective Artificial Intelligence (AI) applications could improve outcomes for patients, and support medical practitioners, around the world. But for people to benefit from more trustworthy AI, dataset development must be made easier.
AI applications in medicine, healthcare and pharmaceuticals are subject to an emerging landscape of regulatory and ethical frameworks. With our MLOps software, teams are provided with detailed, human-readable audits that can be used to help reach compliance. Additionally, our code is open source - not obscured - which is more acceptable for AI development in regulated environments.
Within AI development, 80% of the costs are associated with the data. At gliff.ai, our mission is to make the production of high-quality machine learning datasets as simple as possible. We are doing this using our in-house expertise in medical imaging and data science.
