Hyperthymesia Pitch — Interactive One‑Pagers

Snow Unlimited • Dean Allen Snow • snowunlimitedofficial@gmail.com • +1 (605) 801‑0449

Vision • Why Now

Hyperthymesia merges blockchain transparency with quantum‑ready cognition to create auditable AI with verifiable memory — a quantum conscience for intelligent systems.

Aligned with Google for Startups, Cloud Innovation, and X (Moonshot) — open systems, reproducible research, responsible AI.

Solution Highlights

  • Auditable AI: ledgered reasoning artifacts for safety & provenance.
  • Quantum‑ready: hybrid quantum‑classical algorithm hooks (Cirq).
  • Developer ecosystem: SDKs, wallets, plug‑ins.
  • Ethical governance: transparent changelogs & credentialed nodes.

Impact KPIs (12 months)

10+
Institutions onboarded
Auditable AI workflows
10^6
Tx/day capacity
Quantum‑safe ledger
3
Joint publications
AI provenance & consensus

The Ask (Partnership Package)

ItemDescriptionSupport
Seed FundingUpfront equipment & pilots$6K
Cloud CreditsCompute, storage, security, logging12 months
Quantum AccessGoogle Quantum AI Lab (Cirq/QPUs)Facility time
Advisory TeamCloud architect • Quantum researcher • AI ethicistQuarterly cadence

Budget Snapshot

  • Upfront: GPU workstation $2,400 • Disks $600 • Pilots $2,500 • Licenses $350
  • Monthly Ops: ≈ $1,000–$2,000 (compute, storage, egress, security, monitoring, 10% contingency)

Contact

Dean Allen Snow
Snow Unlimited

snowunlimitedofficial@gmail.com
+1 (605) 801‑0449

Project: Flight of the Navigator Sim

Executive Summary

Hyperthymesia is a research‑grade framework for verifiable AI reasoning and quantum‑resilient consensus, aligned with Google’s Responsible AI Principles, Quantum AI research agenda, and Cloud innovation initiatives.

Objectives

  1. Validate Q‑Consensus v1 (quantum‑resilient).
  2. Integrate Aletheia Trails with BigQuery.
  3. Enable 10 institutions to deploy auditable AI by Q4 2026.
  4. Publish 3 peer‑reviewed papers.

Alignment with Google

  • AI Safety & Transparency: ledger‑based explainability.
  • Quantum Computing: Cirq + Quantum AI hardware experiments.
  • Cloud Innovation: Node Engine + BigQuery analytics.
  • Open Science: SDKs & datasets under open licenses.

Requested Support

CategoryNotesRequest
FundingUpfront + monthly operations$6K + $1.65K/mo
Cloud Credits3–5 nodes, storage, logging, security12 months
Research AccessCirq & Quantum AI Lab QPU timeFacility time
Advisory TeamCloud architect • Quantum researcher • AI ethicistQuarterly cadence

Budget Overview

  • Upfront: $2,400 + $600 + $2,500 + $350 = $5,850
  • Monthly: ≈ $1,650 baseline (can scale to $2,000 for resilience)

Outcomes

  • 10 institutions onboarded by Q4 2026
  • 3 publications on consensus & provenance
  • 2× verification efficiency vs baseline
  • Open‑source SDK release