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‹he› AI-native products that think, learn, and evolve.

‹he› LinkedIn ↗‹he› Papyrus ↗hello@synaptixlabs.ai

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‹he› Pick a question to start:

‹he› ← All solutions
‹he› Papyrus

‹he› Papyrus

In dev

Publishing

‹he› Research that comes alive — interactive papers readers can explore, with an AI that answers from the work itself.

‹he› Built on AIOS‹he› Our own AI Operating System. Developed and governed with Atlas, deployed and run on Nexus — the Agents-as-a-Service engine. We build every product on the same platform we ship.‹he› Explore AIOS — Develop ⇄ Deploy →
1

‹he› The problem

‹he› Research trapped in static PDFs can't show what it explains, and leaves readers with questions the page can't answer.

2

‹he› Our approach

‹he› Papyrus turns papers into living documents: authors embed sandboxed, interactive Visual Packs, and readers ask a research assistant that answers from the article itself, with citations grounded by retrieval over the text. The Visual-Pack generator already runs on Nexus — a Synaptix-Viz agent streams a multi-stage build (evaluate → facilitate → develop → review → judge) as Agent-as-a-Service — with the reading and Q&A agents arriving next. One governed platform behind every paper.

3

‹he› The demo

‹he› A faithful recreation of the live Papyrus reader on 'The Causal Damping Protocol': step the Contents and watch the pinned Visual Pack swap per section as the article's cues fire, then Ask Papyrus a question and get an answer grounded in the paper, with section citations. The live reader is at papyrus.synaptixlabs.ai; this is illustrative sample content.

‹he› Interactive explainer · built native (typed React Visual-Pack, no CMS).