Core Platform

Food Vector

Quantum-Enhanced Molecular Screening

Transform raw analytical data from food matrices into quantum-ready molecular vectors. Screen thousands of natural compounds against therapeutic targets with chemical-level accuracy impossible through classical computation.

From Raw Data to Therapeutic Candidates

Four integrated stages powering end-to-end molecular discovery.

01

Data Ingestion

Integrates food compound data (FooDB, PubChem, HMDB, other sources) with patient genomics into a single normalized pipeline.

02

Vector Generation

Vectorize food compounds, protein targets, and genomics into high-fidelity Hamiltonian representations for precise matching.

03

Computational Algorithms

Advanced alignment algorithms detect structural and functional similarities to enable precise compound‑to‑target matching.

04

Discovery

Ranked food-derived compounds with predicted biological activity, full audit trail, and food source mapping.

What Food Vector™ Delivers

Three core capabilities spanning computation, data, and optimization.

Mathematical Traceability

Every prediction fully auditable, unlike black-box AI. Deterministic, reproducible outputs with regulatory-ready documentation.

Compound Database

10,000+ food compounds indexed from FooDB, PubChem, and HMDB. Metabolites, vitamins, peptides, proteins, sugars, fats, and additives in a single normalized pipeline.

Quantum-Ready

Quantum-ready alignment technology enables fast, auditable compound-to-target discovery.

Dual Application Platform

One Platform. Two Powerful Applications.

Therapeutic Discovery

  • Identify food-derived molecules that compensate for protein dysfunction caused by mutations, misfolding, or aging.
  • Novel targets for further study with full mathematical traceability.
  • Preclinical validation of P23H Rhodopsin / retinitis pigmentosa is complete.
  • The same methodology applies to Alzheimer's, Parkinson's, Cystic Fibrosis, and more.

Manufacturing Intelligence

  • Molecular fingerprinting of raw materials to predict production outcomes and optimize yields.
  • Similarity search linking lot profiles to past performance for batch planning.
  • Yield variability reduced from ±13% to ±4%. Batch failures reduced up to 75%.
  • One platform serves both applications using the same core vector technology.
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Discover Our Platform

Request platform access or download our technical brief on quantum-enhanced molecular screening.