Medical Research Solitaire — Foundry One Sciences
FOUNDRY ONE SCIENCES
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MRS Engine — System Architecture

Medical Research Solitaire  ·  Full Platform Schematic  ·  Proprietary IP

Full-stack platform architecture

Entry points, secure cloud boundary, intake modules, the three-part MRS Engine core, and the full output distribution tree including product formularies, clinical reports, and revenue channels.

Platform schematic

Web portal foundryonesciences.org Physician portal PHI intake · HIPAA SAB Advisory board Research feeds PubMed · MeSH · UMLS AES-256 · Azure AD auth · HIPAA BAA · SaMD output framing · Secure upload portal Secure cloud boundary CIM Clinical Intelligence Module Physician intake · hypothesis routing AAD Scanner v2.0 ETL pipeline · consensus scoring Feed expansion · version log MRS Engine Card engine 4-domain taxonomy Cancer · Cardiovascular Neurological · Metabolic Suit classification ♠ ♥ ♦ ♣ JELLO layer Insight classification Red → Violet bio-depth Cross-domain flavor Source discipline tag RMS Reasonable Man Standard Human judgment filter Research validity gate Quality assurance layer RSC token layer  ·  blockchain reward architecture  ·  contributor incentive framework InsuLes™ Metabolic formula Leapsin™ GLP-1 step-down ZeaCyte™ Dry AMD · vision C. auris Run #001 protocol Reports SaMD clinical output Physician billing CPT · HCPCS coding Catalog licensing IP · formula · platform rights Acquisition / exit $5M – $500M+ range
Entry & outputs
Intelligence modules
MRS Engine core
JELLO classification
Active research protocols
Secure cloud boundary

IP portfolio & business architecture

Five provisional patent applications, corporate structure, funding stack, business development roadmap, and valuation scenario modeling across conservative, mid-range, and blue sky outcomes.

Patent portfolio · corporate structure · valuation scenarios

USPTO provisional patent portfolio · Frederick W. Cover II · Micro Entity MRSLLC-001 MRS Engine Research platform Control premium IP MRSLLC-001B AAD Scanner v2.0 intelligence 5-layer pipeline MRSLLC-002 InsuLes™ Metabolic formula Berberine · ALA core MRSLLC-003 Leapsin™ GLP-1 bridge Near-term lead asset MRSLLC-004 ZeaCyte™ Dry AMD · vision Zeaxanthin + CD8 Corporate · funding · business development Funding & eligibility SBA loan · in progress SBIR / STTR eligible Delaware EDGE Grant SDVOSB eligible MVWBE eligible Navy veteran · NAICS 541715 Corporate structure Foundry One Sciences LLC Delaware LLC → C-Corp NAICS 541715 Micro entity status Sole inventor · all IP IP Masters → catalog licensing Business development SAB formation in progress Physician network track Catalog IP licensing Acquisition pipeline SBA + SBIR roadmap SAB advisory agreement filed IP valuation scenarios · composite buyout estimates Conservative $5M – $12M buyout floor Strong asset base scenario Mid-range $50M – $150M Platform + formulary bundle Blue sky $200M – $500M+ Leapsin™ lead · MRS multiplier
Core platform IP
Intelligence engine IP
Formulary IP / funding
Lead asset · valuation floor
Business dev / blue sky

AAD Scanner v2.0 — intelligence pipeline

Five-layer architecture that converts raw research feed data into classified, consensus-scored, version-tracked discovery nodes. Output routes directly into the Card Engine and JELLO layer.

Five-layer processing architecture · MRSLLC-001B

Feeds Card Engine + JELLO layer · version-controlled discovery Layer 1 Taxonomy MeSH · SNOMED-CT · UMLS · Gene Ontology Hierarchical alignment across medical vocabularies Cross-ontology entity linking · term normalization Layer 2 ETL pipeline Extract → transform → load → validate → stage Raw feed normalization · schema enforcement Data integrity checks at each pipeline stage Layer 3 Consensus scoring Multi-source agreement scoring across feeds Confidence thresholds · conflict detection and flagging Weighted vote resolution · RMS handoff trigger Layer 4 Feed expansion Adjacent research domain auto-detection Citation chain mining · preprint monitoring Expansion trigger thresholds · JELLO color tagging Layer 5 Discovery logs Change tracking · version stamping per discovery Audit trail for every classification entry Rollback capability · diff logging · reproducibility Output → Card Engine (suit assignment) → JELLO layer (bio-depth + flavor tagging) → RMS review
Ontology alignment
ETL normalization
Consensus scoring
Feed expansion
Version-controlled logs