Welcome to AI AWARE

The market leading AI detector for text and speech

Spot AI-generated content including AI text & deepfakes.

Free trial

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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

PRODUCTS
(text & AUDIO)

ACCURACY RATES

DOCUMENTS PER HOUR

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 audio

From phone calls and video calls to voice cloning and deepfake audio, we can help you detect if the audio is generated by AI.

03.

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.

What our AI detector stops

Article creation

Essays, articles, and social media posts can all be detected.

Cyber attacks

AI has enabled social engineering and phishing to be highly personalised attacks.

Combat fraud

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

Misinformation

AI makes it easier to generate misinformation at scale.

Deepfakes

Used to defraud and spread fake news.

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.