SPN-OncoSynth Foundry

Global Oncology Intelligence Platform
We rapidly cure cancer one case at a time
We bring the cure into healthcare
SPN SOLUTIONS INC.
Proprietary and confidential.
Intellectual property of Daryl Davies. All rights reserved.
Enter 4 digit access code
Synthetic prototype. Demonstration access only.
CRUSH CANCER ENGINE // PROPRIETARY COMPUTE
We rapidly cure cancer one case at a time
0%
kernel load
kernel iterations 0throughput 0 rec/snodes engaged 0
Crush Cancer Engine · SPN Solutions Inc. · IP of Daryl Davies · synthetic computation
SPN-ONCOSYNTHFOUNDRY
We rapidly cure cancer one case at a time
SPN Solutions Inc.EST.
16 live
⚠ SYNTHETIC SIMULATION. Every center, mutation, source, algorithm output, dosing direction, side effect, FDA decision and outcome is procedurally generated fiction for a non existent compound. NOT real medical, clinical, genomic, or manufacturing data. Institution names on the map are real organizations shown illustratively; their data, participation and connections here are entirely synthetic and not affiliated. Do not follow any direction shown here.
Sources online
16
global grid
Records / sec
0
live ingest
Active cases
0
global
Protocols computed
0
today (sim)
In FDA review
0
submissions
Deployed live
0
approved
Research centerUniversity instituteNational instituteGenomic biobankTrial networkPharma R&DSources push to the core mesh in real time \u00b7 drill region, country, then tap any source
WORLD

Global Subscriber Network

PATIENT CASE INTAKE
NEW
Configure a synthetic patient case and run the engine.
Watch the compute engine crunch across all sources, then unlock the full drug dossier.
DATA INGESTION · STRUCTURED & UNSTRUCTURED
0 ingested
Drop files or click to attach · scans, slides, labs, sequencing, and reports
DICOM · SVS · PDF · VCF / BAM · HL7 · CSV · DOCX
Structured data · imaging, labs, tumor markers, genomics, cardiac and pulmonary
Unstructured data · clinical notes, reports, pathology images
Ingestion queue
Synthetic ingestion only. Files are not uploaded, stored, or transmitted. Attachments simulate how the engine would normalize multimodal inputs into the case context.
No protocol computed yet.
Run a case in CASE → PROTOCOL to generate the full drug dossier.
SPN SOLUTIONS INC. · SPN-ONCOSYNTH FOUNDRY

We rapidly cure cancer one case at a time

Global oncology intelligence · powered by a proprietary algorithm engine
Researched, designed, architected, and built by Daryl Davies
⬡ CONCEPT PROTOTYPE — synthetic demonstration, not a live clinical product
Sources in grid
55
Countries
19
Cancer types
19
Pipeline stages
end to end
◆
About us
SPN Solutions Inc. · mission, leadership, values
▸
Who we are

SPN Solutions Inc. is a mission driven technology company founded and led by Daryl Davies. SPN-OncoSynth Foundry is its flagship oncology intelligence platform, built to unite the world's cancer research into a single collaborative grid resolved by a proprietary algorithm engine. Our purpose is simple and relentless. We rapidly cure cancer one case at a time, by turning fragmented data into a clear, end to end path from a patient case to a manufacturable, testable, deployable therapy.

Mission

To compress the distance between discovery and cure. Where today a case can wait years for the right combination, our platform models that path in minutes, then carries it through sourcing, cost, build, testing, regulatory review, and deployment so nothing is lost between insight and treatment.

Researcher and builder

SPN-OncoSynth Foundry was conceived, researched, designed, architected, and built by Daryl Davies. As Founder, Principal Investigator, and Chief Architect he leads the science, the system design, and the engineering of the platform, and is personally driving it from working prototype toward a validated, go-live production state.

Founder & Principal Investigator
Daryl Davies
Role
Researcher · Chief Architect · Lead Engineer
Status
Driving to go-live production
SPN Solutions Inc. · Fairfax, Virginia
Values
Collaboration
One global mesh, shared evidence
Rigor
Transparent, explainable methods
Speed
Minutes, not years
Integrity
Safety and honesty first
⬢
About the platform
grid, engine, dossier · capabilities
▸

SPN-OncoSynth Foundry is an end to end oncology intelligence platform built around three connected systems.

Global collaboration grid

A live mesh of cancer centers, research universities, national institutes, genomic biobanks, trial networks, and pharma R&D sites worldwide. Drill from region to country to a single source and inspect its contribution in real time.

The Crush Cancer Engine

The Crush Cancer Engine is a proprietary algorithm engine built to rapidly and dynamically formulate candidate cure protocols. It resolves a patient case against billions of synthetic data points, weights candidate agents by disease stage, mechanistic class, evidence strength, and tolerability, then converges on a non redundant combination with a projected response and a calibrated confidence interval.

The drug dossier

A complete record carried from discovery through composition, sourcing, cost to cure, build, testing, packaging, FDA review, patient and clinician directions, side effects, outcome, alternate routes and reversal, and live deployment. Every layer is clickable.

Core capabilities
Case to protocol
19 cancer types, full staging, biomarkers
Economics
COGS, markup, cost to cure
Evidence
Cross center cohort resolution
End to end
Discovery to deployment
This build is a synthetic concept prototype. Data, engine output, and outcomes are illustrative and not for clinical or production use.
⟶
Product roadmap
where we are and where we are going
▸
Phase 1 · complete
Foundation
Console, global collaboration grid, case to protocol engine, and the full drug dossier shipped as an interactive prototype.
Phase 2 · complete
Intelligence & realism
Real institution mapping, expanded ontology, cost to cure economics, 19 cancer types, and the Crush Cancer Engine animation.
Phase 3 · in progress
Integration
Secure connector APIs to genomic and clinical sources, role based access, exportable case dossiers, and saved case queues.
Phase 4 · planned
Validation
Partner pilots, audit grade traceability, and a bridge from synthetic modeling to validated reference datasets.
Phase 5 · planned
Scale
Global multi language deployment and federated learning across participating centers without moving raw data.
Phase 6 · vision
Cure at scale
Continuous learning and real time case matching across the grid, so the mission becomes routine. We rapidly cure cancer one case at a time.
Shipped
2 phases
In progress
Phase 3
Planned
3 phases