Unlocking the limitless potential of AI with Aival

Intelligent Data Catalogs for Radiology

Unlock the limitless potential of AI

Aival enables your Radiology Department to make full use of your data by integrating multimodal information into a standardised discovery platform - ready for the next generation of AI

a man and a woman looking at a computer screen

Your data. Your AI.

What medical breakthroughs could we achieve if every image scan could be accurately labelled and made accessible for AI?

The data exists - and plenty of it. Aival unlocks medical imaging for AI by automatically curating and categorising scans in a way that makes them discoverable and usable. This means that scientific researchers and AI developers can get the precise data they need to deliver on AI's limitless promise and unlock the medical breakthroughs of tomorrow.

Intelligent Data Catalogs

An integrated solution for AI-grade multimodal data management

Aival's software automatically builds foundation AI for your populations, unifying imaging, text, and other data. Hospitals gain an integrated data catalogue that enables scientific research, commercial access, and further AI development. Evaluate external products on ground-truthed data, or fine-tune your own models for specific use cases.

Your own foundation AI models

Own your own AI models, unique to your data and that can be fine-tuned for specific use-cases

Spinal images
A centralised platform for labelled images and reports

Streamline research operations to take on more ambitious projects

Spinal images
New available revenue streams

Monetise access to labelled data for external parties to train or evaluate AI, without change to clinical operations

Brain MRI

Prepare your data to accelerate AI adoption

With your data ready for AI, you can develop, evaluate, and monitor AI models through the Aival platform.

Training
  • Build classifiers for specific use-cases

  • Fine-tune external base models on your population data

Evaluation
  • Validation on real-world data

  • Bias and fairness analysis

  • Analyse large, diverse populations without needing manual curation

Monitoring
  • Post-deployment surveillance

  • Drift detection

  • Reduce auditing burden on clinical users

See more here about how Aival provides software and services for trustworthy AI assurance:

A radiologist preparing data ready for AI

What you get

Our all-in-one solution simultaneously categorises your data and creates AI models from these

Using our AutoAI and AutoLabel algorithms, we can automatically structure and label all your data to create multimodal databases ready for AI - without needing any manual clinical input. These Intelligent Data Catalogs can be used to expedite search, research, and AI development.

What's more, this automatically produces foundation AI models and image and text classifiers built from your data and suited to your populations.

1

Label all your imaging data

Categorise image studies to accelerate scientific research and AI development. Easily curate relevant datasets for training or evaluating AI models and products.

1

Label all your imaging data

Categorise image studies to accelerate scientific research and AI development. Easily curate relevant datasets for training or evaluating AI models and products.

1

Label all your imaging data

Categorise image studies to accelerate scientific research and AI development. Easily curate relevant datasets for training or evaluating AI models and products.

2

Convert free-text to structured reports

Automatically extract clinical findings and metadata to identify datasets of commercial or scientifc value more quickly.

2

Convert free-text to structured reports

Automatically extract clinical findings and metadata to identify datasets of commercial or scientifc value more quickly.

2

Convert free-text to structured reports

Automatically extract clinical findings and metadata to identify datasets of commercial or scientifc value more quickly.

3

Create foundation AI models and specific classifiers

AI models to classify images and structure text are automatically produced, together with foundation models that can be fine-tuned for additional tasks.

3

Create foundation AI models and specific classifiers

AI models to classify images and structure text are automatically produced, together with foundation models that can be fine-tuned for additional tasks.

3

Create foundation AI models and specific classifiers

AI models to classify images and structure text are automatically produced, together with foundation models that can be fine-tuned for additional tasks.

Radiologists at work with AI
Radiologists at work with AI
Radiologists at work with AI

More than a database

Cost benefits for your site

At a time when healthcare providers are stretched, an additional revenue stream that does not impact clinical operations can transform services.

Organising and anonymising your data increases its value for scientific research and for AI development. Specific cohorts of interest can be identified more easily and quickly.

Monetise access at 10x the processing cost

Developers are already paying for access to specific datasets to train and evaluate their models.

Commercialise foundation models

The AI models currently available are typically trained on much smaller datasets than those held in a hospital. Access to foundation models are valuable to external parties to improve their own products.

Build your own AI

Clinical AI must be representative of the population data it will be used on. With your own data accurately labelled, you can train AI products that are directly suited to your populations and workflows.

Organising and anonymising your data increases its value for scientific research and for AI development. Specific cohorts of interest can be identified more easily and quickly.

Monetise access at 10x the processing cost

Developers are already paying for access to specific datasets to train and evaluate their models.

Commercialise foundation models

The AI models currently available are typically trained on much smaller datasets than those held in a hospital. Access to foundation models are valuable to external parties to improve their own products.

Build your own AI

Clinical AI must be representative of the population data it will be used on. With your own data accurately labelled, you can train AI products that are directly suited to your populations and workflows.

Organising and anonymising your data increases its value for scientific research and for AI development. Specific cohorts of interest can be identified more easily and quickly.

Monetise access at 10x the processing cost

Developers are already paying for access to specific datasets to train and evaluate their models.

Commercialise foundation models

The AI models currently available are typically trained on much smaller datasets than those held in a hospital. Access to foundation models are valuable to external parties to improve their own products.

Build your own AI

Clinical AI must be representative of the population data it will be used on. With your own data accurately labelled, you can train AI products that are directly suited to your populations and workflows.

Get in touch

Ready to move forward? Let’s talk.

Please get in touch through the form to learn more or to schedule a demo.

A radiologist working with AI
A radiologist working with AI
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Aival

Company

Contact us

71-75 Shelton Street, London, United Kingdom

Email :

info@aival.io

Copyright © 2025 Metalynx Ltd. All rights reserved.

Aival

Company

Contact us

71-75 Shelton Street, London, United Kingdom

Email :

info@aival.io

Copyright © 2025 Metalynx Ltd. All rights reserved.

Aival

Company

Contact us

71-75 Shelton Street, London, United Kingdom

Email :

info@aival.io

Copyright © 2025 Metalynx Ltd. All rights reserved.