About AI Aware

AI Aware provides a comprehensive solution for verifying the authenticity of digital media by detecting content generated or manipulated by AI across four major modalities: text, video, audio, and images. It is designed for professionals in legal, media, HR, and cybersecurity who require high-accuracy verification to combat misinformation, fraud, and academic dishonesty. The platform utilizes a proprietary ensemble detection framework to deliver calibrated confidence scores and explainable results quickly.

Key Features

Unified Multi-Modal Detection

One platform covers every major modality of AI-generated content, including text, video, audio, and images, simplifying verification workflows.

Ensemble Detection Architecture

Uses a proprietary framework combining multiple detection models for higher accuracy and resilience against novel AI generators and post-processing techniques.

Calibrated Confidence Scores

Provides calibrated confidence scores rather than simple binary verdicts, offering users a quantifiable measure of certainty alongside explainable output for text.

Deepfake Video & Audio Analysis

Analyzes complex artifacts like facial inconsistencies, unnatural blinking, speech patterns, and spectral signatures to identify manipulated or synthesized media.

Resilience Against Humanization Tools

Outperforms single-model detectors by looking for deeper structural and linguistic patterns that 'AI humaniser' tools often fail to completely erase.

Fast Result Delivery

Detection results are returned in seconds after uploading content, ensuring users can maintain pace in time-sensitive verification tasks.

Use Cases

Combating Misinformation in Media

Media organizations can verify the authenticity of breaking news images, videos, and articles before publication to prevent the spread of deepfakes and synthetic narratives.

Screening Job Applications and CVs

HR and recruitment teams can scan written application materials, cover letters, and tasks for AI-generated content to ensure candidates are presenting their authentic work.

Cybersecurity and Fraud Investigation

Cybersecurity professionals use the tool to detect synthetic identities, AI-generated documents, and voice-cloned authorization calls used in sophisticated fraud attempts.

Academic Integrity Enforcement

Educational institutions can scan essays, reports, and written assignments for content generated by large language models like ChatGPT to uphold academic standards.

Legal Document Verification

Legal firms can check case submissions and evidence for hallucinated case law or AI-generated text that could compromise legal proceedings.

Authenticating Digital Evidence

Used by various teams to analyze suspicious digital evidence, including voice recordings and video footage, to determine if they are deepfakes or AI-synthesized.

Frequently Asked Questions

What makes AI Aware different from other AI detectors?

AI Aware detects AI-generated and manipulated content across text, video, audio, and images from a single platform, unlike most detectors that only check text. It is also built on an ensemble framework, making it more accurate on hybrid and manipulated content.

Can AI Aware detect content that has been edited or ‘humanised’ to avoid detection?

Yes, AI Aware outperforms single-model detectors by looking for deeper structural and linguistic patterns that 'AI humaniser' tools do not fully erase. It has been specifically tested and trained on hybrid and manipulated content.

How confident can I be in the results?

AI Aware provides calibrated confidence scores instead of binary verdicts. The false positive rate for text detection at the document level is less than 1 in 1,000.

Which AI generators can AI Aware detect?

The text detector identifies content from all major large language models, including ChatGPT, Claude, Gemini, Grok, and LLaMA. The video detector is trained on output from generators like Synthesia, Sora, Runway, HeyGen, and Seedance.