🎤 🚀 NoirSight: Fighting AI Misinformation, One Post at a Time
“In a world flooded with deepfakes and misinformation, we’ve built the defense system.”
We’re excited to present NoirSight — a mission-driven platform that goes beyond detection. We’re not just solving a problem. We’re building an ecosystem that brings truth, transparency, and trust back to the internet.
Misinformation spreads faster than truth. Today, anyone can generate deepfake images, videos, or AI-crafted fake news with just one click. There are hundreds of tools to create deception, but almost none that effectively stop it.
Governments are worried. Companies are scared. And yet — reliable, scalable, and community-driven solutions are missing.
Our goal is to make the internet safe again — by becoming the AI-powered shield between fake content and the public.
We do this through a Backend-as-a-Service (BaaS) that enables:
- Enterprise integration with social media platforms
- A developer-friendly ecosystem with an open community
- An educational AI studio that empowers the public
We built an npm-based wrapper for platforms to install with an API key from us.
🔗 What it does:
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Acts as a content moderation layer between uploader and platform
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Uses EfficientNet and VisionTransformer to flag:
- Deepfake images
- Manipulated videos
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Adds model confidence levels, flags on posts, and public feedback counts
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Also includes our AI-powered Social Media News Analyzer:
- Extracts the post text or link
- Compares it to real-time news using scraping + LLMs
- Determines if it’s factual or contextual with explanations and source links
🧠 All this is as simple as adding one wrapper — and platforms get instant moderation power without building the system themselves.
To demonstrate this, we’ve built a simulated social media platform — a realistic, interactive app that mirrors how platforms like Twitter or Instagram would use NoirSight.
🧪 What we’ll show you:
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Users upload content — images, videos, or text
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Our wrapper flags deepfakes in real-time
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News posts are analyzed instantly for their factuality
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Posts display:
- Model predictions
- Confidence levels
- Crowd voting on fake vs real
- Reference articles from across the web
This demo proves:
NoirSight works seamlessly inside real social platforms — and it works fast.
We’ve also built a fully functional website, where you can:
✅ View documentation for all our APIs ✅ Purchase enterprise API keys ✅ Download the Chrome extension ✅ Visit our GitHub and contribute to the open source project ✅ Access our AI Playground Studio — where anyone can test models
The Playground Studio is especially powerful:
- Upload images/videos/news
- See how our models perform
- Use it for free under a limited tier
- Perfect for developers, students, journalists, or just curious minds
We've built a browser extension that activates when reading online articles. It scrapes the article, compares it with hundreds of other news sources using headless browsing, scraping, and contextual AI, and tells you if it’s real, biased, or misleading — all with citations.
We’ve open-sourced it on GitHub, encouraging:
- Developers to contribute
- Researchers to plug in their own models
- Journalists and educators to use it as a daily fact-checking tool
We believe fighting misinformation needs transparency — and that’s why we’re open by default.
There are now more powerful, free deepfake generators than detection tools. What’s worse — most businesses want to protect users, but can’t afford the R&D, training, hosting, or model updates.
That’s why NoirSight isn’t just timely — it’s essential.
We fill the gap by offering:
- Scalable AI
- Battle-tested models
- API-ready integration
- Community-first development
In this age of digital deception, truth shouldn’t be a luxury. With NoirSight, it’s a standard.
We’re not just building a tool — we’re building the future of trust on the internet.
Thank you