Cannabis Genomics Reimagined

AI-Driven Breeding Solutions for the Future of Cannabis

95%
Prediction Accuracy
6-7
Week Flowering Sativas
2.9M
SNPs Analyzed
70%
Cost Reduction
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Revolutionary Capabilities

Genetic Analysis

Interpret Phylos, Medicinal Genomics, and VCF data. Identify 1,003+ genetic markers and their trait associations.

AI Predictions

Neural networks and ensemble models predict THC content, flowering time, and yield with 85-95% accuracy.

Ultra-Fast Flowering

Design 6-7 week Sativas using triple autoflower stacks and CRISPR target analysis.

Terpene Optimization

10-compound analysis with synergy scoring. Achieve 15-20% boosts through UV-B protocols.

Breeding Programs

Custom breeding strategies with marker-assisted selection and generational planning.

ROI Focused

Reduce development costs by $35K per strain. Time to market: 6 months vs 18 months.

Cutting-Edge Technology Stack

Machine Learning
SVR, Neural Networks, XGBoost, Random Forest ensemble models
Genomic Data
193 genomes, 2.9M SNPs, 152K genes from pangenome
LSTM Predictions
89% accuracy flowering time forecasts
QTL Mapping
Quantitative trait loci analysis for complex traits

Proven Results

Ultra-Fast Sativa Achievement

Successfully identified genetic combinations for 6.7-7.1 week flowering Sativas with maintained potency.

4-5 weeks
Flowering reduction
20%+ THC
Maintained potency
3x faster
Production cycles

Business Impact

Transforming cannabis breeding economics with AI-driven optimization.

$1M+
Annual revenue potential
5+
Patent opportunities
30%
Premium pricing

Transform Your Cannabis Genetics

Ready to revolutionize your breeding program? Let's discuss your goals.

Or email directly: [email protected]