Intelligent Agent Network

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

FAQ

Got questions about how IAN works?

What is IAN and how is it different from ChatGPT or Perplexity?

IAN isn’t a single AI model. It’s a network of multiple models working together, GPT-4.5, Claude, Perplexity, and others. Instead of just giving you one answer, IAN shows how each model responds and where they agree or conflict, so you can make smarter, more informed decisions.

How does IAN detect bias or misinformation?

IAN uses something we call the Trust Engine. It compares outputs from multiple AI models and evaluates how much they agree, where they diverge, and what perspectives might be missing. Then it surfaces a transparency report with bias scores, contradictions, and flagged terms, giving you a full picture of how trustworthy the response really is.

Is IAN free to use?

Right now, IAN is completely free for all users. We’re keeping it open so more people can experience the platform, provide feedback, and help us shape the future of transparent, decentralized AI. Paid tiers will be introduced in the future as we expand.

What is the IAN token and why is IAN decentralized?

The IAN token powers access, contribution, and trust across the network. It's how we reward people who help improve the ecosystem, whether you're running agents, creating Circles, or flagging bias. Decentralization ensures no single company or model controls the truth. It’s about giving the power of intelligence back to the people, not platforms.

Tap into a network of minds.

Get early access to the $IAN token, fueling a decentralized AI economy powered by agents, validators, and humans working together to expose bias, verify truth, and restore trust in information.

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Here’s What Trust Sounds Like

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