Genemap is at v1 launch. This page is the public commitment to what's actually coming next — what's in active build, what's queued for the year ahead, and the research horizon beyond. Dates are bands, not guarantees; the engineering principle is that nothing ships until the maths is on the file.
The platform you sign into today. 21 Tier 1 native breed-evaluation parsers across 11 countries (AU, NZ, US, BR, KR, IE, GB, ZA, IS, Nordic SE+DK+NO+FI, plus multi-country World Angus); climate and market feeds wired natively across 18 countries; AI translator for anything beyond. Both species, the full closed-loop calibration stack, the per-farm GWAS, the global daily learning loop.
What's live now in your account when you sign in.
What we're engineering right now. These items have implementation specs, code in progress, and a scheduled production deploy window.
Methane is becoming a price signal in every developed cattle market. Genemap is wiring it as a first-class economic axis — a live CH₄ price per country, an EBV-anchored ME (methane efficiency) trait where breed evaluations publish one, and a methane-discounted gross margin in the bioeconomic anchor.
The beef product is feature-complete at v1. The sheep product reaches parity in Q3 with a focused build pushing every cattle capability across to sheep — wool, pelt, dairy and meat systems all on the same engine.
Every Tier 1 parser ships v1 as a scaffold — the format definition, detection signature, trait alias map and dispatcher are all in source, but each is tagged scaffold_status: "awaiting validation against real exports". Q4 closes that gap. Each breed-society pipeline gets a paired fixture suite (real CSV / Excel exports anonymised, plus the Genemap-canonical-form expected output) so every parser can be tested against the actual files producers receive from angus.org, ABCZ, KAPE, ICBF, NAV, etc.
Specced, prioritised, but not yet in active engineering. These items have a clear thesis and the data sources to back them; they ship next year as v2.
Rumen and gut microbiome composition has a measurable heritability and a measurable economic effect — feed efficiency, methane production, parasite resistance, weight-gain rate on rough country. Where producers and partner labs have microbiome data, Genemap will ingest it as a new evaluation axis alongside DNA.
DNA methylation patterns carry inheritance signal independent of the underlying genome. Where the cost of methylation arrays falls below the economic threshold for a producer, Genemap will ingest methylation panels alongside SNP genotypes as a parallel evaluation axis.
Most of the world's commercial beef herd is composite — F1 and beyond — and breed evaluations don't natively rank composites against each other. Genemap is building a cross-breed genomic prediction engine that ranks composites on the same axis as their underlying purebreds.
The exploratory layer — items where the science is real but the economics and data infrastructure aren't yet ready for production. We track them in the open because the producer community deserves to know what's coming.
These items are in active research but not yet committed to a deploy window.
We get a lot of inbound — partner labs, breed societies, researchers, producers. Three gates determine whether an item moves from research to active build.
The signal must be measurable, heritable, and economically material. No speculative traits, no marketing-led axes. If a peer-reviewed paper hasn't pinned the heritability, it stays in research.
Every coefficient ships as source code in the open methodology. If we can't show producers how a number is derived, we don't ship the feature.
The test is whether a real producer would rank a different bull, a different ram, or a different cow because of the feature. If it doesn't move the decision, it doesn't ship.
This page is the canonical roadmap, refreshed quarterly. The changelog records what's actually shipped, week by week. The insights section publishes the engineering write-ups behind major roadmap items. The research page documents the underlying peer-reviewed work.
If you want to influence what gets prioritised, the most useful thing you can do is use the engine on your own operation and tell us what's missing. Producer-driven items move up the queue fastest because we share the constraint — the engine has to help us run our own herd before it ships to anyone else.
Subscribe to the insights RSS for engineering write-ups, or sign in and start using the engine on your own operation. Every producer who uses Genemap sharpens the next producer's calibration.
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