Scrile AI is a white-label platform that enables anyone to launch a fully branded, monetizable AI companion website โ without writing a single line of code. It combines GPT-powered chatbot functionality with AI image generation and flexible monetization options, making it the ideal solution for entrepreneurs, content creators, and startups in both SFW and NSFW markets.
With Scrile AI, users can interact with customized AI characters through natural language chat and receive on-demand AI-generated images in response. Each character can have a distinct personality, backstory, and behavioral style, all defined by the admin or platform owner. The image generator automatically creates character avatars and themed image galleries, enhancing immersion and user engagement.
The platform includes a built-in token system and subscription model to help platform owners generate revenue. Admins can monetize premium image responses, special character access, or unlimited chat. Users can purchase credits, subscribe to specific AI personas, or unlock blurred image content โ all through an integrated payment flow.
Scrile AI is fully hosted, GDPR-compliant, and includes a powerful admin dashboard with user management, revenue analytics, moderation tools, and branding options. Admins can customize everything from color schemes and layout to pricing logic and age restrictions. Hosting, maintenance, and AI model integration are all handled by Scrile, allowing clients to focus on growth.
Use cases include NSFW AI girlfriend/boyfriend platforms, romantic and roleplay apps, emotional support chatbots, fan engagement bots, or fully automated versions of influencer personas. Scrile AI supports rapid deployment and offers continuous updates and support.
Whether you're building a scalable adult AI business or a themed AI companion experience, Scrile AI gives you everything needed to launch, grow, and monetize a premium AI platform โ all under your brand.
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Hi Dmitry, I am cofounder of ZIR AI (https://zir-ai.com/). I researched neural information retrieval at Google, before starting ZIR in 2020. (Note: Vespa, who appear in your article, reference some of my work in [1]) To give you some historical perspective, embedding based retrieval on large text corpora became viable only after the introduction of transformers in 2017. Google Talk to Books... - Source: Hacker News / about 4 years ago
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