Know the pairing before you make it.
The Genetics Engine answers the genetic questions behind a pairing. It is deterministic and explainable, so every answer comes with its confidence and the reasons behind it, and you always know how sure it is.
Live today
The genetic answer behind a pairing, before you commit to it.
These run today. They work on reviewed, normalized data, never on raw values, and every answer is labeled with its confidence.
Recessive-risk pairing
See the offspring risk for a pairing, whether affected, carrier, or clear, worked out from the carrier statuses on record rather than guessed.
Inbreeding (COI)
An inbreeding coefficient for the proposed pairing, with the shared ancestors driving it traced for you.
Mate recommendation
Rank candidate mates by how well they balance health risk against diversity, with hard filters to keep unsafe pairings off the list.
Coat-color prediction
For species where the color genetics are settled, see the coat-color outcomes a pairing can produce, worked out from the color loci on record.
Clear, consistent results
Every raw lab value maps to a plain result through a named, versioned rule you can open and read. Anything unrecognized stops for review instead of being guessed.
Verifiable reports
Any result can become a snapshot with verification built in, so anyone can confirm it is an unaltered copy of what the engine produced.
Coverage you can see
Each result carries its own coverage and quality, and those checks decide what is allowed to inform a recommendation.
Beyond one pairing
The same engine, watching the whole line.
A good pairing is one answer. AnimalTrace Intelligence keeps the same engine running over a line or program, so you can watch where your genetics head across seasons and catch drift while you can still act on it.
Rank a field, not just a pair
Compare a whole group of candidate mates for one animal and see the ranking with the reason behind each place.
Save the question, not the answer
A saved pairing question keeps its ranking current as new results, clearances, and candidates arrive, instead of going stale the moment you close it.
Hear about the change
When a new result moves a candidate, AnimalTrace Intelligence surfaces what changed and which decision it affects.
Ask in plain English
Describe the pairing you want. The engine does the math.
Type what you are after in your own words, a dam, a goal, a hard limit on inbreeding, and the engine turns it into a ranked answer. It shows which parts of your request it can score, which need data it does not have yet, and which are yours to weigh.
The wording is the only thing that is loose. Behind it sits the same deterministic engine, the same confidence labels, and the same review. Nothing is asserted that the data cannot back.
Spend the testing budget well
Know what to test next.
More testing is not always more certainty. When a result would not change the call, paying for it is waste. AnimalTrace helps you see where another test may add useful clarity before you choose the next step.
Find the test that matters
Highlights the one test whose result would actually change the recommendation.
Skip the ones that won't
When a result is already clear enough to decide on, the engine says so, instead of pushing a panel that adds cost but not clarity.
Decide with the gaps visible
Every recommendation shows what is known, what is assumed, and what is missing, so you choose with the uncertainty in plain sight.
On the roadmap
Parentage & relationship inference.
Built against the same model, on the same governed data. The design is set, with rollout following validation on known cases and per-species cutoffs.
Parentage verification
Confirm or rule out a parent from the genotypes, with a confidence measure rather than a bare yes or no.
Relationship inference
Place two animals at a likely degree of relationship from their genetics, and tell close relationships apart.
Identity & mix-up detection
Flag a likely sample mix-up or duplicate record before it skews anything downstream.
Where automation stops
The engine computes. A person approves. Nothing is asserted on its own.
Automation helps your team triage and move faster. It does not decide. Every result passes through explicit review and approval that is recorded in the audit trail.
The deterministic engine produces the answer, a person signs off, and the report carries a snapshot you can verify. No model quietly rewrites what the engine computed.
Rule governance
Every change to the science is reviewed before it touches a result.
The rules behind an interpretation are versioned. A change moves through a defined path, and you can see its effect before it goes live, so the science improves without surprises.
Draft, review, active
A rule is editable, then locked for review, then activated. Turning on a new version retires the one before it.
Tested before it ships
Known inputs with expected outcomes have to pass before a change can go live, so it cannot break cases you already trust.
See the impact first
Before a change is activated, see exactly how many results would change, and which way, against real data.
Why it holds up
Reproducible by construction.
The underlying data is stored apart from reports, versioned, and reproducible. When rules or panels improve, results are reprocessed and re-reviewed without rewriting history.
Snapshot on report
A report locks the versions behind it, so later changes never alter a report you have already issued.
Always traceable
Every result ties back to the rule version and the reviewer behind it, so it can be traced and re-derived.
Missing data shows
A test with no data shows up as exactly that, never a silently skipped rule.
Put the engine to work on your animals.
If you run breeding decisions or a testing lab, we will show you the Genetics Engine on real data.