AI and DEI: Automated insights for inclusive storyÂtelling
Our Diversity Analysis AI model helps media producers, broadÂcasters, and cultural instiÂtuÂtions put diversity, equity and inclusion (DEI) into action â by automatÂiÂcally tracking gender and age repreÂsenÂtation in images and video.
Shaping Inclusive Media Starts Here
Smarter tools for more inclusive stories
Why it mattersâand what youâll gain
Automated DEI insights, minus the manual work
Track gender and age diversity in real-time across any media asset. No spreadÂsheets. No manual tagging.
Support for ESG, funding & public trust
Use clean, strucÂtured diversity data to meet reporting requireÂments, qualify for funding, or commuÂnicate your commitment to inclusion.
Plug-and-Play for media workflows
It fits into your current stackâmedia asset management systems, editorial tools, even legacy archives.
Time-synced video analytics
Our tool breaks down demographic presence by timestamp, so you see not just whoâs includedâbut when and how often.
Diversity Analysis module is part of our Deep Media Analyzer appliÂcation. Check it out now:
What youâll get
Weâre not just throwing numbers at you. Hereâs what the Diversity Analysis delivers:

CompreÂhensive gender and age insights
Instantly access clear, visual breakÂdowns of gender and age repreÂsenÂtation.

Timeline-based segmenÂtation
The module visually maps out gender dominance and neutrality throughout the video, allowing you to see at a glance which segments feature female, male, or gender-neutral repreÂsenÂtation.

Privacy-first design
Ethnicity or skin tone? Not included â by design. The model respects individual dignity and adheres to all data protection standards like GDPR.
Practical AppliÂcaÂtions
Where it worksâand how you can use it
Diversity and inclusion in media isnât just a checkboxâitâs a strategy. Hereâs how media teams are using our tool.
frequently asked questions
Have a question? Weâve got answers
What kind of attributes does the model detect?
Why doesnât the Diversity Analysis model detect ethnic diversity?
1. Ethnicity is a socially constructed and contextual concept Unlike age or gender, ethnicity cannot be inferred objecÂtively or consisÂtently from visual features alone. DefinÂiÂtions of ethnicity vary widely across cultures, regions and instiÂtuÂtions, making it techniÂcally unreliable and ethically problematic to train a generÂalÂizable model for it.
2. High risk of bias and harm Even advanced AI systems can reinforce stereoÂtypes or show bias when trained to classify ethnicity, especially if the training data is not perfectly balanced â which is almost imposÂsible on a global scale. MisclasÂsiÂfiÂcation can lead to discrimÂiÂnation, marginÂalÂization or the misuse of sensitive data.
3. Privacy and regulatory compliance Ethnicity detection can quickly enter the realm of sensitive personal data, which is subject to strict regulaÂtions under laws such as GDPR and the EU AI Act. To ensure compliance and avoid ethical grey areas, we delibÂerÂately exclude this feature from the model.
Is your service GDPR compliant?
Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accorÂdance with GDPR regulaÂtions.
How is my data handled? Does the AI learn from my data?
You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it propriÂetary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organiÂzation.
What type of data do you store?
By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instrucÂtions or where legally required. For example, data may be transÂferred or processed as needed to fulfill service requireÂments, always in alignment with our agreeÂments.
To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.