Welcome to AI AWARE

The frontline AI detector for video, audio & text.

AI detection for brand reputation and security.

Free trial

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Check your content for free

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

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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.

At AI AWARE we don’t believe all AI is bad. We understand that it can speed up menial tasks and make the world a more efficient place. However, there are many malicious uses for AI-generated content and we’re here to help stop these from causing damage.

Steve HarmstonFounder of AI AWARE

ACCURACY RATE

Error rate

PIECES of content TESTED

Our COMPANY

What our AI detectors can do

01.

Detect AI-generated text

Reveal articles spreading misinformation, bot accounts on social media, to 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.

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 publishing documents.

Job applications

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

Fraud

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

Our PRODUCTS

How our AI detector works

AI AWARE has created unique and proprietary algorithms for AI detection working with data scientists from the University of London. Our approach, based on maximising information, has very high accuracy rates; the more information used to detect AI, the better the detection. We diverge from current approaches in AI content detection that just use machine learning to detect patterns consistent with AI, which have proven to be inaccurate. Instead, we have a unique multimodal approach, adding in reverse AI, statistical patterns, a range of signals that people use to detect AI-generated content, and additional metadata.