Canalytics changes the order of operations in breeding. Simulate every plausible cross at every ratio before a seed is germinated, rank real phenotypes by their scored chemistry instead of their look, and aim every program at the effect profiles the market is documented to want. Fewer wasted cycles, faster stabilized lines, genetics built to a target.
Canalytics Breeding Software moves the most expensive decision in breeding, which parents to cross and at what ratio, from the grow room to the screen.
Parents selected on experience, strain reputation and visual indicators with limited documented links to the offspring's cannabinoid and terpene profile. Cycles allocated to crosses before effect outcomes can be predicted. Programs where differentiation is difficult to substantiate at the chemistry level. A genetics library whose strategic value is hard to communicate to buyers.
Every parent pair simulated across every plausible contribution ratio and ranked by predicted offspring effect profile in about 30 seconds. Every parent, offspring and phenotype scored on 30 effects. Every program aimed at effect gaps the connected market is documented to want. A genetics library that compounds in value every cycle.
Commit cycle capacity only to the crosses with the highest predicted alignment. Let the phenohunt validate the prediction instead of discovering the miss.
Simulation, selection, targeting and library intelligence for breeders and seed companies
Simulate every possible cross between the parents in your library across every genetic contribution ratio in five percent increments. See a ranked, sortable landscape of predicted offspring effect profiles, with heat maps and parent-versus-offspring radar charts, before a single seed is germinated.
Target a profile, not a single trait. Specify high Calm, high Worry Reduction, moderate Sleep and low Couchlock, weight each effect, and the engine ranks crosses by composite alignment. Extend to receptor-mediated targets for clinical lines, such as 5-HT1A engagement for anxiety-aligned work.
Score every phenotype's COA across 30 effects and sort the entire population by single effect, counter-effect (high Focus and low Anxiety), multi-effect profile or buyer persona. Every phenotype receives a 0 to 100% match to any target you define. Keep the mothers that hit, cull the ones that miss.
Compare any two parents head to head and detect the optimal contribution ratio for a target effect. Understand which parent drives which trait and plan F1, F2 and backcross strategy with the breeding simulation analysis report.
Define a target cannabinoid and terpene ratio — from a market reference, a persona, a pharmaceutical specification, or a Canalytics-licensed designer profile reverse-engineered from clinical research — and Plant Match searches your breeding library and the wider genetic universe for the closest matching chemovars. Quantified similarity scores validate generational progression toward the target across breeding cycles.
Effect demand intelligence from the Canalytics-connected supply chain shows which effect profiles are over-represented, under-represented or missing entirely. Aim programs at those gaps 24 to 36 months before the resulting genetics reach commercial release, instead of reacting to wholesale feedback that lags by quarters.
Canalytics Breeding Software is the defining asset for breeders and seed companies. Plant Match extends the search through the wider genetic universe for chemovar profiles matching any cannabinoid and terpene target, and Business becomes the mother-plant scoring workstation.
Canalytics Breeding Software: cross simulation, multi-effect explorer, parent analyzer, phenohunt ranking and the breeding strategy report.
Search genetic libraries for chemovars matching any cannabinoid and terpene target — including Canalytics-licensed designer profiles — and validate generational progression with similarity scores.
Multi-tab comparison, effect search and persona scoring for every cut in the library.
Effect coverage, redundancy and gap analysis across the whole genetics catalog.
Effect demand intelligence from connected retail feeds breeding direction.
Persona-aligned positioning for seed lines and cuts, anchored to their documented chemistry.
The economics of breeding change when the miss happens on screen instead of in the grow room
Every cross you do not have to grow to find out it misses is a cycle of light, labor, space and time returned to the program. Simulating the full landscape first means cycle capacity goes only to crosses with the highest predicted alignment, and a line that would have taken years of iteration can be stabilized in far fewer generations.
Visual vigor, aroma and structure do not reliably predict the cannabinoid and terpene profile a plant produces. Scoring every phenotype's COA and ranking the population against the target means the mothers you keep are the ones that deliver the effect, which is the only thing the buyer downstream is paying for.
A seed line or cut sold with a scored effect profile, receptor mapping, persona alignment and breeding heritage is a different product from one sold on a name and a story. Cultivators and brands can see what it will do for their customers before they buy it, and that certainty is what they pay for.
Every mother plant carries its scored COA, effect profile, receptor map, persona ranking and simulation history. The library becomes an interrogable strategic asset that grows more valuable every cycle. A competitor adopting the same tools two years later starts with an empty library and no history.
From parent COAs to a ranked, validated, demand-aligned breeding program
Upload or photograph COAs for your parents, mothers, seed lines and phenohunt populations. Canalytics tracks the full cannabinoid and terpene fingerprint per entry and scores each across all effects.
Run Canalytics Breeding Software across every parent pair and ratio. Explore results in heat maps, stacked charts and radar comparisons, and filter by score threshold, counter-effects or a weighted multi-effect target.
Get effect diversity analysis, genetic trait mapping, F1, F2 and backcross strategy, market positioning, risk assessment, chemistry-validated buyer personas and forward breeding recommendations.
Grow the top-ranked crosses, score every phenotype, rank the population against the target and retain the mothers that hit. Validation refines the next simulation. Position each line on its documented profile.
Outputs that guide the next cycle and raise the value of every cut you keep
Every product Canalytics analyzes is scored across 30 therapeutic and adult use effects on a 0 to 10 scale, from the full cannabinoid and terpene fingerprint in its COA. This is the shared vocabulary that lets a breeder target an effect, a dispensary sort a shelf by it, a marketer write to it, and a clinician recommend against it.
Condition-relevant effects scored from receptor-level pharmacology, so clinical positioning and evidence-aligned recommendations rest on science.
Experience-relevant effects that predict how a product actually feels, so customers can shop by outcome instead of by strain name and THC percentage.
Beyond the effects shown above, Canalytics scores 17 additional therapeutic and adult use effects on every product, delivering the most complete effect profile in the industry and the depth needed to filter for what a customer wants and against what they want to avoid.
Every effect is quantified, not described. Products become sortable, comparable and rankable against any target.
Find high Calm and low Couchlock, or Focus without Anxiety. Score for the effects wanted and against the effects to avoid.
Cannabinoids and terpenes mapped to CB1, CB2, TRPV1, 5-HT1A, PPARγ, opioid μ and more, so scores rest on mechanism.
Every score is supported by a robust study database of peer-reviewed research. No black box.
Simulate before you cross, select on chemistry and build genetics the market is documented to want.
Run Canalytics Breeding Software against a cross you are already considering and compare the simulation to your own expectations. Then add phenohunt ranking on an in-progress population and Plant Match for library-wide target search.