About EyeSift
Founded in 2023, EyeSift is an AI content detection platform built by a team of machine learning engineers, cybersecurity researchers, and digital forensics specialists. We provide transparent, reliable detection across text, images, video, and audio with honest 75-85% accuracy rates.
Our Mission
We believe in honest communication about AI detection capabilities and limitations. While competitors claim unrealistic 99% accuracy rates, we provide transparent 75-85% accuracy with detailed confidence scores. Our mission is to help educators, journalists, businesses, and researchers verify content authenticity in an increasingly AI-generated world.
Our Team
Alex Thompson
Founder & Lead Developer
Full-stack engineer with 8+ years in machine learning and NLP. Previously worked on content integrity systems at a major technology company. Leads EyeSift's detection algorithm development.
Dr. Sarah Chen
AI Research Lead
PhD in Computational Linguistics from Stanford. Published researcher in AI text detection with 12 peer-reviewed papers. Designs EyeSift's perplexity and burstiness analysis models.
Dr. Michael Torres
Computer Vision Engineer
PhD in Computer Vision from MIT. Specializes in GAN fingerprint detection and deepfake analysis. Built EyeSift's image and video forensics pipeline.
Maria Santos
Policy & Compliance Director
Former regulatory analyst with expertise in EU AI Act, GDPR, and international AI governance frameworks. Ensures EyeSift meets global compliance requirements.
Our Technology
EyeSift uses a multi-layered detection approach combining statistical pattern analysis, transformer-based classifiers (fine-tuned RoBERTa models), perplexity scoring, burstiness measurement, and multi-modal forensics. For images, we analyze GAN fingerprints, EXIF metadata, and compression artifacts. For video, we examine temporal consistency and facial landmark coherence. For audio, we use spectral analysis and prosody evaluation.
We continuously update our models to detect content from the latest AI systems including GPT-4, Claude, Gemini, Midjourney, DALL-E, Stable Diffusion, and emerging open-source models. Our detection pipeline is updated monthly with new training data.
Try Our Detection Tools
Experience EyeSift's detection capabilities firsthand with our free tools:
- AI Text Detector - Analyze text for AI-generated patterns
- AI Image Detector - Verify image authenticity
- Deepfake Video Detector - Detect video manipulation
- AI Voice Detector - Identify synthetic speech
Contact
Email: [email protected] | Address: 1234 Tech Boulevard, San Francisco, CA 94105