Halo by Scam AI

Know who’s real on every video call

MeetingsArtificial IntelligenceSecurity

▲ 105 votes20 commentsLaunched Jul 31, 2026

Visit Website

Daily #5Weekly #74

The person on your next video call might not be real. With Halo you don't have to guess. Halo secures your Zoom, Teams, or Google Meet call live and flags synthetic faces the moment it detects one, entirely on your device. Deepfake video calls are already being used to scam people and businesses around the world, it's just that most people have no way to tell. From confirming who you're hiring to confirming who you're wiring money to, Halo catches it before it costs you.

AI Analysis

📝 Summary

Halo by Scam AI detects synthetic faces in real-time during Zoom, Teams, or Google Meet video calls, running entirely on-device for privacy. It flags deepfakes instantly to prevent scams in hiring, financial transfers, and identity verification. Key pain points addressed include inability to distinguish real humans from AI-generated fakes in remote interactions. USP is live, local processing without cloud dependency, offering proactive security in an era of rising deepfake threats. Overall value: peace of mind and fraud prevention for high-stakes calls.

📈 Market Timing

In 2025-2026, generative AI and deepfake technology are maturing rapidly, with increasing incidents of video call scams targeting businesses and individuals. Rising awareness of AI risks, maturing on-device ML capabilities, stricter data privacy regulations, and growing remote work demands create strong demand for such tools. This is an opportune window before deepfakes become ubiquitous. Excellent Timing.

✅ Feasibility

On-device deepfake detection leverages existing computer vision models, making technical implementation feasible though training accurate models is complex. Development costs are moderate to high for AI, but operational costs are low with no cloud inference. Strong privacy focus reduces compliance risks. Scalability is high via desktop/mobile apps. Overall rating: High, supported by current tech maturity and on-device efficiency.

🎯 Target Market

Primary segments: Enterprise professionals in HR, finance, and security (ages 30-55), remote teams in tech, banking, and recruiting industries. Geographic focus: US, Europe, and global enterprises. Estimated TAM for AI video security ~$5-10B, SAM for deepfake detection in calls ~$500M-$1B, SOM for live call tools ~$100M. Core pains: vulnerability to identity fraud in video interactions. High willingness to pay for B2B plans due to risk mitigation.

⚔️ Competition

Medium. Direct competitors: 1. Reality Defender (realitydefender.com), 2. Sensity AI (sensity.ai), 3. Hive Moderation (thehive.ai), 4. Microsoft's Deepfake Detector tools. Advantages: fully on-device processing for privacy, seamless integration with major video platforms, instant live flagging. Disadvantages: newer player with potentially less brand recognition and broader platform support compared to established security suites; may require validation of detection accuracy.

Upgrade Pro to unlock full AI analysis