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Genosight

Agent-Based Infrastructure for Verifiable Scientific Visualization

Figures you can trust, trace, and reuse.


🧠 What is Genosight?

Most scientific figures today are just pixels—no audit trail, no metadata, and no reproducibility.
Genosight transforms visual outputs into verifiable, self-contained records backed by modular AI agents and cryptographic provenance.

It’s not just a chart. It’s structured, reproducible evidence.

In internal testing, Genosight reduced figure-prep time from 3–6 hours to under 3 minutes, while preserving full traceability from raw dataset to final chart.


🚨 The Problem

Scientific figures are central to:

  • Research transparency
  • Peer review
  • Regulatory filings

Yet today:

  • 52% of biomedical findings are not reproducible ([Amgen/Bayer studies])
  • No visual audit trails
  • No link to data or methods
  • No accountability

Researchers don’t just need visuals—they need proof.


🏗 Architecture: Agent-Driven by Design

Genosight is built as a modular, agent-based system, where each agent performs a deterministic task and logs all actions by design.

Core Agents:

  • ChartGen Agent – Generates context-aware figures
  • StatsCheck Agent – Verifies statistical soundness
  • QA Agent – Ensures formatting and accessibility
  • Provenance Agent – Embeds metadata and hashes
  • Governance Agent – Handles permissions, reviews, and approvals

Each figure is anchored on-chain, making it cryptographically verifiable and permanently attributable.


⚙️ Key Features

Feature Description
Verifiable by Default Embedded metadata + on-chain hashes = born traceable
Agent-Driven Workflow Modular AI agents handle generation, QA, and governance
High Efficiency Prep time drops from 3–6 hours → under 3 minutes
Audit-Ready & Compliant 21 CFR Part 11-ready, with timestamped trails and tamper-proof logs
Attribution Layer Figures are citable, reusable, and anchored to creator identity on-chain

Powered by Decentralized Infrastructure To ensure tamper-proof provenance and permissionless traceability, Genosight leverages Web3-native infrastructure: Powered by Decentralized Infrastructure

🔐 On-Chain Anchoring (BSC) Each figure’s metadata—including dataset hashes, statistical methods, and authorship—is anchored on the BNB Smart Chain (BSC), ensuring long-term immutability and public verifiability.

🎖 Attribution NFTs via WrapX Every finalized figure is issued as a verifiable NFT, powered by WrapX, embedding creator identity, timestamp, and methodological lineage. These NFTs can be cited, reused, and even tokenized for credit and rewards in open science ecosystems.

📦 Decentralized Storage via Greenfield Visual assets and their metadata bundles are optionally stored on Greenfield, BNB Chain’s decentralized storage network, enabling permissionless access and portable reproducibility across platforms.

🔬 Use Cases

  • 🧬 Bioinformatics & Single-cell Analysis
    Generate UMAPs, volcano plots, and heatmaps in minutes—with embedded logic and traceable lineage.

  • 🏥 Multi-Institutional Trials
    Sites don’t share raw data. Each runs the same agent stack, anchoring results to a shared ledger.

  • 📑 Regulatory Filings (FDA, EMA)
    Meet compliance standards with audit-ready visuals and cryptographic proof of origin.

  • 🌐 Open Science & Attribution
    Make your figures citable assets. Track reuse and receive on-chain credit.


🌍 Why Genosight?

Figures are the visual language of science—but today, they’re disconnected from the truth they claim to represent.

With Genosight:

  • ✅ You don’t need to rerun the code
  • ✅ You don’t need the raw data
  • ✅ You just follow the cryptographic trail

Genosight turns figures into proofs.


📦 Coming Soon

  • CLI and Jupyter integration
  • .sgos export format (SVG + Metadata Bundle)
  • On-chain registry and attribution explorer
  • Public beta for academic and biotech users

Built by scientists, for science.
Genosight is not just a tool—it's a credibility layer for computational research.

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