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Akeia applies per article sentiment analyis and applies blur and category to each article.
Akeia In Action
See how our platform works in practice through demo videos, screenshots, workflow examples, and product walkthroughs.
Product Screenshots
Below are examples of Akeia in action showing Scoring, Categorisation and Filtering (Blur) per article, and example controls.
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Akeia allows, depending upon policy, the ability to Reveal Content if required
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Example controls including Banner Controls, Tooltips, Advert Removal and Reveal-disable policy behavior. Fully customisable.
Demo Videos
Watch platform overviews showing how Akeia scores, categorises, and filters negative sentiment during real browsing scenarios.
Product Walkthrough: Blur & Reveal on Real News Sites
A high-level walkthrough of how Akeia helps organisations improve digital wellbeing by proactively blocking negative sentiment before it disrupts the browsing experience.
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Technical Walkthrough: Proxy, AI Scoring & Policy Controls
A more technical look at how Akeia detects negative sentiment, applies categorisation, and enforces blocking policies across live web content.
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View all walkthroughs on YouTube — Akeia In Action playlist