About gilesparscale
gilesparscale operates the Undress AI platform — purpose-built AI undressing technology trained on 40 million images and refined over 18 months of development.
Our Mission
The AI clothing removal space was dominated by low-accuracy, blurry outputs. gilesparscale was built to fix that — with a dedicated architecture, not an adapted general model.
Our benchmark standard is 97.4% accuracy on a 10,000-image validation set. Every release must meet that threshold before deployment.
What We Build
The Undress AI engine processes clothing segmentation and anatomical reconstruction using a multi-layer neural network. It runs entirely server-side, with results returned in under 10 seconds.
The platform supports individual users, development teams via REST API, and enterprise clients with dedicated processing nodes and custom rate limits.
Privacy Standards
Privacy is not optional at gilesparscale. All uploads are encrypted with 256-bit AES in transit and at rest. Images are purged automatically within 60 minutes of processing — no exceptions.
Platform Scale
In 2026, gilesparscale serves 180,000+ users across Starter, Pro, and Enterprise plans. Over 4 million images have been processed. Platform uptime for 2026 stands at 99.7%.
Model Development
The Undress AI model is updated on a bi-monthly cycle. Each update is regression-tested against the full validation benchmark before release. No update ships if accuracy drops below threshold.
Contact
For business inquiries, API partnerships, or enterprise pricing, reach the gilesparscale team at info@gilesparscale. Response time for business queries is typically under 24 hours.
gilesparscale was built on a straightforward premise: AI-powered image processing should be accurate, fast, and accessible. Since our founding, we have focused exclusively on developing Undress AI undressing technology that delivers results in under 10 seconds per image, used by over 200,000 people worldwide.
Our engineering team includes specialists in deep learning, computer vision, and neural network architecture. Every model update goes through 3 rounds of internal testing before release, so the AI clothing removal results you get today are measurably sharper than what existed 12 months ago.
Our Mission
At gilesparscale, the goal is precise: push the boundaries of deepfake technology and AI undressing capabilities while maintaining clear usage standards. We publish quarterly model performance benchmarks so users can track exactly how accuracy improves over time.
Contact Us
Questions about your account, technical issues, or partnership inquiries? info@gilesparscale.com Reach the gilesparscale team directly at info@gilesparscale.com. Response time is under 24 hours on business days.