ABOUT CONSENSUSPRESS

ConsensusPress was built because one AI model is never enough.

ConsensusPress was built on a simple idea: no single AI model should be trusted on its own when content is being prepared for publication.

Instead of relying on one model, ConsensusPress queries five, compares the outputs, detects hallucinations, flags disagreement, and produces a validated draft designed for both human trust and AI search resilience.

PRODUCTION PROOF

Not a demo. Proven in live publishing.

The same consensus methodology behind ConsensusPress has already been used across live publishing environments. This is not a concept page or a mock workflow. It is production-tested and already delivering structured, validated content.

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Proven across seekrates-ai.com, aihorizon.net, and pixels.net.nz.

FOUNDER

Mohan Iyer — Founder and AI Architect

Mohan Iyer is an industrial engineer and metallurgist who spent decades solving complex systems problems before turning to AI architecture. That engineering background shapes everything about how Seekrates AI is built: deterministic processes, measurable outcomes, and zero tolerance for unverified claims.

The consensus methodology is an engineering solution to an engineering problem. AI models are components in a system. Like any critical system, they require cross-validation before their output is trusted.

Mohan is based in New Zealand and operates Pixels, the studio behind Seekrates AI and ConsensusPress.

Mohan Iyer

Mohan Iyer

Founder of Seekrates AI and ConsensusPress, with a background in metallurgy, industrial engineering, coding, business analysis, process re-engineering, management consulting, MBA-level business training, and strong statistical thinking.