We build the biological knowledge graph that the global horse industry runs on. From breeding to veterinary to conservation — decisions backed by data, not assumptions.
Phenotype data trapped in PDFs. Genotype data scattered across labs. Breed knowledge passed down orally, never digitized. No unified representation of "what a horse is." Every decision starts from scratch.
Every equine decision — breeding, veterinary, racing, conservation — starts from fragmented knowledge with no unified biological foundation.
EQAI builds structured data, biological embeddings (HorseVector), connected knowledge graphs, and equine-specific foundation models. Biological complexity becomes computable intelligence.
Every layer is traceable to the one below it. Nothing is invented. Everything is grounded. And everything is continuously updated.
Breeding choice · Treatment plan · Racing strategy · Conservation action
Risk score · Mating recommendation · Variant classification
Reasoning over structured knowledge — the equine-specific intelligence layer
Curated, connected, validated — the living knowledge graph
Cross-referenced · Peer-reviewed · Literature-confirmed
Genomes · Phenotypes · Variants · Published research
Samples · Veterinary records · Field data · Research papers
The Key Principle: A prediction links to the foundation intelligence that produced it. Foundation intelligence links to the knowledge that informed it. Knowledge links to the evidence that supports it. Evidence links to the raw observation that generated it.
Just as an operating system sits between hardware and applications — Foundation Intelligence sits between raw biological data and decision-making.
Biological embeddings that encode equine entities as computable vectors. The universal representation for genes, variants, phenotypes, and breeds.
Connected biological entities. Gene → Variant → Phenotype → Breed relationships, curated and cross-validated against published literature.
Equine-specific foundation models pre-trained on curated biological data. We aim to build the reference model for equine biology.
Every output includes confidence level, validation status, and full evidence chain. Every data point links to source paper, sample ID, and genomic coordinate.
Decision intelligence applications built on the foundation layer. Every output is traceable, validated, and designed to support — never replace — expert judgment.
Genetic disease risk assessment
Comprehensive genetic screening across 14 validated pathogenic variants, powered by 1.92M+ SNP frequency records. Every report includes breed-specific risk scores, evidence chains, and mandatory veterinary disclaimers.
Genetic identification & parentage
Breed-agnostic genetic identification using curated SNP panels. Parentage verification with statistical confidence, supporting breed registries and conservation programs.
Provenance-tracked lineage data
Immutable lineage records connecting genetic data to verified samples. Designed for stud books, breed registries, and research institutions requiring auditable provenance.
JumpHealth™ reports include a mandatory disclaimer: "This report identifies genetic risk factors. It is not a diagnosis. Consult a licensed veterinarian for clinical decisions."
Every EQAI output is grounded in internationally recognized databases and standards. We adhere to FAIR, MIAME, and GA4GH principles.
NCBI Reference SNP Database
Online Mendelian Inheritance in Animals
National Center for Biotechnology Information
Equine Reference Genome
Findable, Accessible, Interoperable, Reusable
Global Alliance for Genomics and Health
Coordinate consistency, allele frequency checks
Findings verified across independent populations
rsID confirmed in dbSNP, OMIA verified
Domain expert review of interpretations
Ongoing re-validation as new data arrives
Data, methods, and validation pipelines are open unless there is a compelling reason to restrict. Science advances through transparency.
57 candidate genes identified across 17 breeds. 14 Tier A targets validated through cross-breed analysis. A systematic investigation into the genetic basis of cold tolerance in equine populations.
A comprehensive equine biological knowledge graph connecting genes, variants, phenotypes, and breeds with full evidence provenance. Gene → Variant → Phenotype → Breed.
17 breeds genotyped, 9 in production. Allele frequencies for all tracked variants across global equine populations. All data publicly available via API.
102-gene model structured across Core, Neutral, and Hybrid layers. A framework for understanding neuromuscular and metabolic gene networks in equine biology.
Quick access to all platforms, documentation, services, and resources.
GenoMatrix™ brand overview, core capabilities, product suite, applications & technology architecture
Gene search · Exercise classification · JumpHealth reports · Knowledge graph visualization · Full analytics
16 standardized API endpoints · RESTful design · Full request/response examples · Online testing
Professional genomics contract research — genetic disease screening / exercise genotyping / breed identification / whole-genome analysis
Research methodology / NCDS model / Data pipeline architecture / EquCab 3.0 reference genome / 982 tables / 22GB
GDPR · PIPL · CCPA compliance across three jurisdictions · Data classification · Cross-border transfer · Security audits
Genetic disease screening / Performance prediction / Breed identification / Transaction notarization / Conservation / Breeding decisions
GenoMatrix Technology (Shanghai) Co., Ltd. — Leading equine genomics technology provider with three global centers
Academic institutions, industry associations, breeding farms, laboratory partners — building the equine genomics ecosystem
Genetic testing process, sampling methods, report interpretation, NCDS model principles, API integration — common questions answered
Industry news, company updates, academic publications, conference events — latest in equine genomics
We are building the biological intelligence infrastructure for the global equine ecosystem. Join us in making every equine decision begin with biological truth.
Decode to Decide.