Intelligence is Better Together.

IAN decentralizes AI and detects bias and misinformation in real time.

Powering the World's Brightest Minds

The Story of How AI Lost Our Trust

Here’s how we got here...

October 1950
The Birth of AI
Alan Turing proposes the Turing Test in his paper “Computing Machinery and Intelligence,” laying the foundation for artificial intelligence.
September 1956
The AI Name is Born
The Dartmouth Conference, led by John McCarthy and Marvin Minsky, officially coins the term "Artificial Intelligence" and launches AI as an academic field.
January 1974
The First AI Winter
Governments and investors lose faith in AI as early models fail to deliver practical applications, leading to a massive funding cut in AI research.

Starting with Sir James Lighthill's report, AI stalls for decades, delaying progress and preventing contiuned innovation.

May 1997
AI Defeats the Human Mind
IBM’s Deep Blue does the unthinkable: it defeats Garry Kasparov, the greatest chess player of all time. A machine outmaneuvers human intuition and strategy for the first time. 🎉
December 2012
The Deep Learning Explosion
AI is no longer just learning—it’s teaching itself. AlexNet shatters previous records in image recognition, ushering in the deep learning era.
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Machines can now see, interpret, and understand at superhuman levels. AI isn’t just growing smarter, it’s becoming unpredictable.
October 2016
The First AI Bias Scandals
AI-driven risk assessment tools decide who goes to jail and who gets denied a loan. ProPublica uncovers a horrifying truth: the algorithms are racist.
October 2020
The Rise of Disinformation
Deepfake technology evolves so rapidly that political leaders, celebrities, and news anchors are digitally manipulated in real-time. Disinformation spreads faster than facts.

“Nothing suggests to me that you’ll just turnkey use this for generating deepfakes at home. Not in the short term, medium term, or even the long term,” says Tim Hwang, director of the Harvard-MIT Ethics and Governance of AI Initiative. The reasons have to do with the high costs and technical know-how of creating quality fakes—barriers that aren’t going away anytime soon.

Tim Hwang, Director of the Harvard-MIT AI Initiative

November 2022
The AI Search Revolution
ChatGPT redefines search overnight. No more links, no more research, just AI-generated answers. But something is wrong.

The AI hallucinates, makes up sources, censors truths, and distorts reality. The internet has never felt so powerful...
or so fragile.
January 2024
The Great AI Misinformation Era
AI-generated content floods every corner of the internet. Truth and fabrication blur into one. Journalism collapses, social media crumbles, and governments scramble to legislate reality.

During the 2024 elections, AI-generated misinformation was impossible to ignore. Fake news spread faster than fact-checkers, and search results felt increasingly manipulated. For the first time, millions of voters questioned whether they could trust anything they saw online.

🚀 IAN launches
December 2024
Somewhere along the way, we went wrong.

Amid the chaos, IAN is born. The first AI leveraging collective intelligence to expose bias and misinformation in real-time, verifying truth at scale.

The era of AI-driven truth begins.

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