AI Aware develops proprietary algorithms that utilize reverse AI and multimodal analysis to accurately detect AI-generated content across various formats, including text, images, and code. This technology addresses the high rates of false positives and inaccuracies in existing AI detection systems, ensuring compliance and integrity in academic and commercial environments.
Funding
$519.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current AI detection systems often produce high rates of false positives and inaccuracies, making it difficult to reliably identify AI-generated content. This unreliability poses challenges for maintaining integrity and compliance in academic, commercial, and public sector environments. The inability to accurately detect AI-generated content can lead to unknowingly using inaccurate, biased, or misleading information.
Solution
AI Aware offers a suite of AI detection products that utilize proprietary algorithms and multimodal analysis to accurately identify AI-generated content across various formats, including text, images, and code. Diverging from traditional machine learning models, AI Aware's approach maximizes information usage, incorporating reverse AI, statistical patterns, and metadata to enhance detection accuracy and minimize false positives. The platform provides visual guides that highlight the degree of AI use, human adaptation, and human-based content, enabling contextual understanding. AI Aware's adaptive systems learn and evolve as AI technology advances, ensuring ongoing accuracy in detecting AI-generated content and manipulations.
Target Audience
AI Aware serves academic institutions, public sector organizations, agencies, and companies seeking to ensure compliance, maintain content integrity, and increase transparency in AI usage.
Features
- AI Text Detector: Identifies AI-generated text in academic essays, scientific journals, legal documents, and marketing copy.
- Media Checker: Detects AI-created and manipulated deepfake videos, images, and audio.
- Website Checker: Analyzes website content (text and images) to detect AI-generated material and assess potential threat levels.
- Multimodal analysis: Combines reverse AI, statistical patterns, and metadata for enhanced detection accuracy.
- Adaptive learning: Systems continuously learn and adapt to new AI technologies and masking techniques.
- Visual guides: Provides easy-to-understand visual representations of AI usage, human adaptation, and human-based content.