# AI Aware
> AI detector for AI-generated text, deepfake video, AI images and cloned audio.

```yaml
url: "https://makerhunt.io/project/ai-aware"
markdown: "https://makerhunt.io/project/ai-aware.md"
name: AI Aware
website: "https://aiaware.io"
launch_type: free
link_type: nofollow
status: scheduled
upvotes: 0
pricing: Freemium
categories: "Artificial Intelligence, Legal, Security"
maker: Dr Tillman Weyde
maker_url: "https://makerhunt.io/founder/steve"
logo: "https://aiaware.io/wp-content/uploads/2024/02/cropped-AI-aware-square-logo-180x180.png"
published_at: "2026-09-23T10:18:01.981Z"
updated_at: "2026-09-23T10:18:33.547Z"
```

## About AI Aware

AI detector for AI-generated text, deepfake video, AI images and cloned audio w.

## **Why Use AI Aware**

As generative AI tools become more sophisticated and widespread, distinguishing human-created content from machine-generated material has become a  business and societal challenge. AI Aware is a technology vendor specializing in artificial intelligence solutions designed to enhance business operations and decision-making processes, with a focus on helping organizations harness data effectively and drive strategic insights. More specifically, the platform has carved out a niche in AI content detection.

**Comprehensive, Multi-Modal Detection**

What sets AI Aware apart from many competitors is its breadth. Rather than focusing solely on text, AI Aware covers text, deepfake video, images, and audio and voice cloning all within a single unified tool, making it one of the only truly multi-modal detection solutions available. This matters because bad actors rarely limit themselves to one medium — a fraud attempt or disinformation campaign might combine a synthetic voice, a manipulated image, and AI-generated text.

**Beyond Simple Pass/Fail Verdicts**

Rather than issuing a blunt yes-or-no verdict, the platform provides paragraph-level highlighting and calibrated confidence scores for text, and analyzes facial inconsistencies, unnatural blinking, and lighting artifacts for video, along with pixel-level artifacts for images and prosody and spectral characteristics for audio. This granular, explainable approach lets users see exactly where and how confidently content has been flagged, rather than trusting a black-box result.

**Ensemble Architecture for Resilience**

AI Aware's proprietary ensemble detection architecture combines multiple models with different strengths rather than relying on a single algorithm, making it more robust against "humanized" or post-processed AI content designed to evade simpler detectors. This design choice is particularly relevant given how quickly evasion techniques evolve.

**Practical Applications**

The platform supports use cases including fraud prevention, brand reputation protection, academic integrity, legal document review, and recruitment screening — making it useful across education, media, HR, finance, and legal sectors.

**Credibility**

The founding team combines commercial and technical expertise, having previously built data companies worth over £20 million and developed AI products spanning video recommendation systems and content detection, and the company counts partners like Samsung and Innovate UK among its clients.

For anyone needing to verify content authenticity across formats, AI Aware's multi-modal, evidence-based approach is a compelling option.

**Pricing and Accessibility**

AI Aware uses a usage-based pricing model with a free trial and a starting price around $15, which makes it accessible to smaller teams and solo operators, not just large enterprises. This flexibility is notable in a market where many detection tools price aggressively for enterprise contracts only.

**How It Fits in the Broader Landscape**

AI Aware also appears on public trending trackers for AI research and knowledge tools, sitting among detection and content-verification platforms. While tools like NotebookLM serve research and synthesis needs, AI Aware occupies a more specialized lane: verification and authenticity rather than content generation or summarization. For teams already navigating an AI-heavy toolchain, having a dedicated detection layer — separate from generation tools — adds a useful check-and-balance.

## Overview

### What is it?

AI detector for AI-generated text, deepfake video, AI images and cloned audio.

### Who is it for?

Builders and buyers interested in Artificial Intelligence, Legal, Security.

### How is it priced?

Freemium

### Launch status on MakerHunt

Status: **scheduled**. Link type: **nofollow**. Launch plan: **free**.

## Categories & tags

- Categories: Artificial Intelligence, Legal, Security

## Frequently asked questions

**Q: What is AI Aware?**

AI detector for AI-generated text, deepfake video, AI images and cloned audio.

**Q: Where can I visit the website?**

Official website: https://aiaware.io

**Q: Is the MakerHunt backlink dofollow?**

No — the website CTA is nofollow unless the project has earned dofollow (`link_type: dofollow`).

## Screenshots

![AI Aware screenshot 1](https://aiaware.io/wp-content/uploads/2025/10/web-image-6.png)


## Links

- Listing (HTML): https://makerhunt.io/project/ai-aware
- AI-friendly Markdown: https://makerhunt.io/project/ai-aware.md
- Website: https://aiaware.io
- Maker profile: https://makerhunt.io/founder/steve
- Maker Markdown: https://makerhunt.io/founder/steve.md

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- [Browse projects](https://makerhunt.io/projects)
- [Launch stories](https://makerhunt.io/launches)
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_HTML version: https://makerhunt.io/project/ai-aware_