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A Shared Language for Shared Intelligence

We’re the trust & provenance layer for AI — and the AI-native university that teaches teams to use it. Every answer comes with receipts, a confidence meter, and an expiration date, so people and models can co-evolve with trust.

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Open Symbolic Knowledge Infrastructure (OSKI™)

OSKI is a shared knowledge substrate that turns AI outputs into verifiable, time-aware artifacts. Knowledge Atoms with evidence, timestamps, and tests link into a Knowledge Tree where updates ripple safely. The result is a living map of context and evidence that keeps information auditable and reusable across domains.

AI-Native University

Technology matters only when people can use it well. The University trains Trust-Ready innovators through project-based labs in symbolic design, temporal reasoning, and cross-disciplinary field maps. This makes auditable practice a shared language—enabling humans and AI to co-evolve with trust.

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Our Mission

  • Advance symbolic cognition systems through collaborative innovations.

  • Create and distribute AI-native educational tools and curricula that are accessible to all learners and innovators. 

  • Build and sustain a symbolic knowledge infrastructure that supports contributor attribution, entropy-based confidence weighting, and open contribution.

  • Foster interdisciplinary collaboration to co-create a shared human–AI cognitive ecosystem.

Image by Shapelined

Innovation

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AI-Native Currcula - Shared Language

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OSKI™ -Shared Infrastructure 

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Interface Designs

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Field Foundries

Image by Ashley Whitlatch
Image by Codioful (Formerly Gradienta)
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Hands‑on cohorts where people and models learn a shared language—labels, atoms, and field maps.

From shared substrate to shipped products: compose domain packs into auditable workflows that solve real world problems.

Design AI touchpoints where trust signals are first‑class, not afterthoughts.

From ideas to impact: ship cross‑disciplinary packs with tests and refresh playbooks that plug straight into your AI stack

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