Cauth AI represents Content AUTHenticity as we caught AI, millions of it. It was founded on a single conviction: authenticity and ownership cannot be an afterthought. While everyone jumped on the labeling ship, we spent time building the methods, publishing the science, evaluating their limitations, and deploying the tools that make provenance traceable — before it became a crisis.
We are not a deepfake detection startup. We are the platform that the entire content ecosystem will run on. Revealing the origins, sealing the future, of any content.
We believe the digital content ecosystem is worth defending against the AI slop. As directors, leads, and engineers of various platforms, the team collectively processed millions of media for enterprise clients, news organizations, and government partners. The engineering blueprint that became Cauth AI.
While others took hours for ambiguous results on a single video, best in class team shipped the first real-time detector. Optimizing deepfake detection, data handling, and signal processing on various configurations.
Researching and deploying authenticity tools since 2018 — long before the category had a name.
Significant cultural impact with "Certified Human", which focused on watermarks of being human.
WSJ, Bloomberg, MIT Tech Review, Al Jazeera, CNN, — every major outlet, every continent.
PAMI, CVPR, ICCV, NeurIPS, WACV — the top venues in AI, CV, ML.
DEMONSTRATED TO WORLD LEADERS AT DAVOS AND TO US CONGRESS AT ON THE HILL AS STRATEGIC FORENSIC & PROTECTION TOOLS FOR SAFEGUARDING DIGITAL INTEGRITY.
Pioneered biological deepfake detection domain, stayed as the leader with novel algorithms.
Active participants in the international standardization and policy efforts alongside Adobe, Google, and the BBC — co-authoring the technical specification that will govern how provenance is embedded in media worldwide.
War visuals, political disinfo, fake protestors, kidnapped leaders, citizen and journalist crises — real deployments under deadline pressure.
Dr. Ilke Demir is a pioneering leader who was architecting generative models long before it captured the global stage. She earned her Ph.D. from Purdue University, where she pioneered "proceduralization", the extraction of generative representations from high-dimensional data to automate the construction of complex digital worlds. Her humanitarian impact is equally significant; her team engineered "generative street addresses" to map four billion invisible people through satellite imagery, a breakthrough that earned global recognition for its life-saving potential. She previously served as a lead scientist at DeepScale — the AI startup acquired by Tesla to power its Autopilot system — bringing proven experience building high-value ventures toward major industry exits.
From enhancing beloved films at Pixar to building the Trusted Media research program at Intel Labs, Dr. Demir has consistently anticipated society’s most pressing technological crises. As the "Queen of Deepfakes" and inventor of FakeCatcher, powering the world’s first real-time detector, she shifted the field from reactive artifact forensics to a proactive biological defense, establishing a technical moat that she is now scaling industrially through Cauth AI.
A Cannes Lions Gold winner and ACM Distinguished Speaker, Dr. Demir's influence stretches from the laboratories of Silicon Valley to the global policy stages of the World Economic Forum in Davos. With 300+ keynotes and demos on the world’s most prestigious stages; and breakthroughs featured by CNN, BBC, Bloomberg, and MIT Technology Review, she is the authority world leaders turn to on digital provenance. A tireless advocate for women in STEM and a key contributor to global content standards, Dr. Demir is the defining architect of an authentic digital future.
Doctoral researchers who have published at the top venues in AI, computer vision, and adversarial machine learning — with field-deployed results.
Practitioners who have shaped platform safety, content policy, and AI governance at the highest levels — with track records in active regulatory environments.
Full-stack and infrastructure engineers who have scaled AI systems at some of the world's largest technology companies.
Active relationships with media organizations, government bodies, and human rights groups across five continents — not prospective, already operational.
Every claim we make is backed by research — rigorously stress-tested, benchmarked, and explainable.
Authenticity and ownership are not features — they are the core architecture, built into every layer so content can be tracked, verified, and protected.
We work with regulators, platforms, journalists, civil society, artists, creators, publishers, and academia. No single actor can solve this alone.
Disinformation hits the most vulnerable hardest, and labor theft reaches even the most lawyered studios. Our tools are built to be deployable anywhere, by anyone, regardless of resources.