We broke the model to build a better one.

Every response from IAN has been debated by agents and scored for bias.
10,000+ builders are making AI accountable again.
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A bold new way to interact with intelligence. Not a single model, but a network of minds.
Where answers aren’t just generated, they’re challenged.
Bias is brought to the surface.
Powered by a decentralized protocol that remembers everything.

IAN is the first network designed to verify AI itself. Instead of trusting one model, IAN compares multiple, detects bias, and shows you what’s reliable before anything is used, shared, or acted on. Every answer is recorded in a decentralized thread, creating a permanent, auditable memory of how that intelligence was formed.

Here’s What Trust Sounds Like

IAN makes my team feel like we finally have an honest AI. No more second-guessing the output or wondering what model is hiding what. It’s become essential to our daily workflow.
Chitral Patil
Founding Engineer, Reducto (YC W24)
IAN is the only tool I’ve used that actively challenges what I think I know. Most AIs just answer. IAN shows me what’s missing, what’s off, and what’s biased, all in a way that’s easy to understand. As someone responsible for guiding platform, I don’t have time for hallucinations or vague output. IAN lets me move fast without sacrificing clarity or confidence.
Ketan Anand
Platform Architecture, Apple
It’s like having a council of AIs that actually challenge each other. IAN changed how I validate information and pitch anything technical. I don’t use GPT raw anymore.
Jinsol Park
ML Engineer, NVIDIA
As a developer, I don’t have time to babysit AI. I need tools that are fast, reliable, and don’t lie to me. That’s why I use IAN. It doesn’t just generate answers, it tells me when something’s off. It shows when models disagree, highlights potential hallucinations, and gives me bias scores so I know exactly what I’m working with. IAN has saved me hours debugging misleading AI outputs.
Nuy Nguyen
Engineer, NVIDIA
IAN taught me to question everything. The way it scores and explains bias and incosistencies is mind-blowing.
Anirudh Gokamalla
Gen AI Engineer, Reality AI
IAN has become part of my research process. It surfaces gaps, assumptions, and bias I wouldn’t catch with traditional models. It’s the only tool we trust when stakes are high, especially when presenting insights to leadership.
Alex Feghhi
Research, NASA



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10,000+ builders are making AI accountable again.
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