Welcome to AI AWARE

The frontline AI detector for video, audio & text.

AI detection for brand reputation and security.




AS SEEN IN
AI detector partner venture radar
AI detector partner crunchbase
AI detector partner UKRI

Check your content for free

Submit your content and see if it’s a deepfake, audio clone, or AI-generated text.

Our Company

Who we are

Our founders have a mix of commercial and technical expertise having built data companies worth over £20m and a range of AI-based products including video content recommendation systems, AI video scheduling and AI detectors.

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Our COMPANY

What our AI detectors can do

01.
Detect AI-generated text

Reveal articles spreading misinformation, hallucinated case law in legal documents and academic essays written by products like chatGPT.

02.
Detect AI-generated images & videos

Increasingly used for scamming, and spreading fake news online via deepfakes it’s hard to know what is real anymore.

03.
Detect AI-generated audio

From video calls to voice cloning and deepfake audio, we can help you detect if the audio is generated by AI or if someone is reading from an AI script.

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What our AI detectors can spot

Deepfakes & Cyber Attacks

Used to spread fake news and enables social engineering and phishing to be highly personalised attacks.

Document creation

Essays, articles, and social media posts can all be detected. As well as incorrect references in legal and scientific documents.

Job applications

CVs, cover letters, and written tasks can be scanned for AI to help you find the top candidates, and not the AI-generated ones.

Fraud

AI has enabled criminals to use synthetic identities, use AI for identity theft, and to generate fake contracts.

Our PRODUCTS

How our AI detector works

AI Aware is an entrepreneurial and creative UK AI deep tech start-up that has been pioneering AI detection since 2023. The company, with support from Innovate UK, is developing an innovative approach to AI image, video, audio and text detection and manipulation. We use a unique ensemble framework that combines a range of detection models that is more accurate than existing systems and provides confidence measures of detection. Our approach is more effective with out-of-distribution (not seen before) hybrid content (content that starts as human and is manipulated by AI or starts as AI and is adjusted to be more human). We have experience of testing and benchmarking AI detection models and building ensemble models.

In our work on AI text detection, we have gained experience in the combination of different models. Specifically, machine learning models tend to be brittle when encountering new forms of input, e.g. from a new AI generator or an unseen domain, while static models, so called zero-shot, with no or reduced learning components are more robust to new data, but less effective on known data types. With a rigorous modelling and evaluation regime, it is possible to combine both type of models and improve results in both cases. This is our approach for images, text and video which improves accuracy rates.

PARTNERSHIP

Get in touch to find out how we can work with you.


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