Protecting digital truth
Born from a dorm room, now serving 500,000+ users across 50 countries in the fight against deepfake abuse.
Our Idea
Early 2023. Three computer science students watching deepfakes destroy lives. Politicians impersonated. Celebrities defamed. Grandparents scammed.
Creating fake media was free. Detecting it cost thousands. Something was fundamentally broken.
We built Sniffer AI to fix that.
Our Achievements
Recognition and milestones that shaped our journey
Best Innovation in AI Security
Top 10 Startup of the Year
Cybersecurity Excellence Award
AI for Good Recognition
Innovation in Media Tech
Social Impact Award
Startup India Winner
Tech Innovation Award
Moments of Pride
Research & Innovation
Peer-reviewed papers advancing deepfake detection science
Our Mission
Democratizing access to digital truth verification
Everyone deserves the power to verify what's real
Not just enterprises. Not just governments. Everyone. In a world where deepfakes can destroy reputations overnight, where voice clones can drain bank accounts, where manipulated videos can incite violence — access to verification tools isn't a luxury.
It's a fundamental right.
Instant Verification
No technical knowledge required. No expensive subscriptions. Just instant, reliable verification of what's real and what's fake.
Forensic-Grade Detection
Built with the same rigor used by law enforcement and security agencies, but accessible to everyone.
Universal Access
Because digital truth shouldn't be reserved for those who can afford it. Protection for everyone, everywhere.
By the numbers
The impact we're creating together
What drives us
Every morning, someone uses Sniffer AI to verify something critical. A journalist fact-checking. A victim seeking justice. A parent protecting their family.
That responsibility fuels everything we do.
We're not just building software. We're building a defense against the erosion of digital trust. A movement to restore certainty in an uncertain world.
Why Sniffer Exists. And why it matters.
Sniffer began as a college project and evolved into a forensic response to a growing problem — where deepfake harm spreads faster than clarity, evidence, or action.
Zaid Rakhange
Founder & Lead Developer
Building forensic clarity in an age of synthetic media
While studying the rapid rise of deepfake misuse, it became clear that detection alone was not enough. Victims often lacked guidance, investigators struggled with verification, and digital evidence frequently lost credibility before any action could begin.
Sniffer was built to bridge this gap — combining AI-assisted analysis with forensic-style reporting, evidence integrity, and a victim-first workflow. The system is being developed and validated within a controlled institutional environment to ensure responsibility before scale.
Before you panic, get informed.
Sniffer’s resources explain how deepfakes work, what to do if you’re targeted, what not to do, and how digital evidence can be protected before it’s lost.
Explore resources