About VeriVid

Restoring Trust inDigital Media

Empowering journalists, analysts, and trust & safety teams to verify content authenticity in the age of generative AI.

12,000+

Analyses run

5

Detection engines

94%

Accuracy on benchmarks

60s

Typical turnaround

Our Purpose

We live in an era where seeing is no longer believing

Generative AI has made it possible to create hyper-realistic fake videos and audio in seconds. While this enables incredible creativity, it also poses a significant threat to truth, reputation, and information integrity.

Deepfakes have been used for fraud, political manipulation, and personal harassment. Without accessible detection tools, the damage spreads faster than the truth.

VeriVid AI was built with a single mission: provide transparent, accurate forensic tools for detecting manipulated media — and give you the evidence to make your own judgment.

Our Core Values

🔍

Transparency

No black-box magic. We show exactly which forensic signals triggered the analysis and why.

📊

Honesty

Our results are probabilistic. We clearly communicate confidence levels and known limitations.

🛡️

Ethical AI

We build tools to detect AI misuse, not enable it. Your media is never used to train our models.

🌍

Accessibility

Professional forensic tools should not be limited to large corporations. Free tier always available.

Leadership

Meet the Founder

B

Baha Eddin Mselmi

Founder & Lead Engineer

Software Engineer focused on backend systems, scalable infrastructure, and AI automation. Co-Founder at Zaynah AI, building backend automation for WhatsApp-based e-commerce including NLP workflows for Tunisian Darja.

Operating principle: execution over noise. Building software that survives reality — high throughput, messy real-world inputs, and production reliability constraints.

🤖

Zaynah AI Platform

Backend automation for WhatsApp e-commerce. FastAPI, PostgreSQL, Redis, Docker, NLP. Multi-tenant with production-grade reliability.

Visit →
🗣️

Derja Smart Scraper

Automated collection of Tunisian dialect (Darja) text for NLP. Cleaning, deduplication, and normalization for training-ready corpora.

GitHub →
"My goal is to build tools that give power back to users. In an age of AI-generated content, everyone deserves the ability to verify what they see and hear."
Use Cases

Built for professionals who need answers fast

📰

Journalists

Verify viral clips before publication. Get forensic evidence in under 60 seconds.

🛡️

Trust & Safety

Screen UGC and influencer content at scale without slowing down moderation queues.

⚖️

Legal Investigators

Generate auditable risk reports with confidence evidence for evidence review.

🗳️

Election Monitors

Flag synthetic campaign content before it spreads on social platforms.

📣

Brand Safety Teams

Verify influencer content and sponsored creatives before they go live.

🏛️

Public Institutions

Assess risk of synthetic media in public-interest communications and press briefings.

Get in Touch

Questions, feedback, or want to report an issue? We typically respond within 24–48 hours.