Make the most with your time on earth.
We ran leave-one-out cross-validation across all 982 accessions in our training set — refitting the model 982 times, holding out each accession, and testing whether it correctly identifies its own home climate as better-adapted than random alternatives. At regional scale it succeeded 69% of the time; at GPS-precise coordinates, 64% (p=0.0027, Wilcoxon signed-rank). Both results are statistically significant well beyond chance. Source: Yuan et al. 2025, GigaScience, DOI:10.1093/gigascience/giae121.
Climate change is accelerating faster than our ability to adapt crops. Traditional field trials are too slow, too costly, and too limited to keep up.
Plant. Wait. Observe. Fail. Repeat. Each trial covers one variety, one location, one season. By the time results arrive, the climate has already shifted further.
No planting. No waiting. Our pre-trained RDA model computes the genomic offset — the genetic distance to future climate — instantly, for any species, any environment.
Our pre-trained RDA model projects genotype and environment into a shared genetic-adaptation space — measuring the distance between them in under 0.1ms.
Our RDA model projects genotype and environment into a shared genetic-adaptation space and measures the distance between them — the genomic offset. A low offset: the variety is already adapted. A high offset: maladaptation risk before a single seed is planted. Pre-screen varieties before committing to field trials.
We benchmarked every existing tool. None deliver real-time, enterprise-grade genomic offset computation.
| Feature | R/vegan · gradientForest | GenomicLand | Our Platform ✦ |
|---|---|---|---|
| Real-time single query (<0.1s) | ✕ | ✕ | ✓ |
| Built-in confidence scoring | ✕ | ✕ | ✓ |
| CSV/VCF auto-mapping | ✕ | ✓ | ✓ |
| Multi-tenant enterprise UI | ✕ | ✕ | ✓ |
| Sub-license management | ✕ | ✕ | ✓ |
| Proprietary engine protection | ✕ | ✕ | ✓ |
A live genomic intelligence platform — individual predictions, batch analysis, 3D genetic landscapes, global climate maps. All in your browser.
28-second live demo · Genomic Calculator · Batch Analysis · 3D Landscape · Hex Grid
A modular platform built for exclusive enterprise partnerships. Start with one module. Scale to the full suite.
Core RDA computation. Predict crop adaptation to any future climate in milliseconds. The heart of the platform.
Available nowOverlay genomic offset scores on live climate maps. Visualize where varieties will thrive — at any future date.
Available nowIdentify optimal parent lines for crossing — maximizing climate resilience and adaptation scores in target environments.
Roadmap Q3 2026When physical trials are required, optimize location, design, and variety selection to minimize cost and time-to-result.
Roadmap Q4 2026Auto-generate regulatory documentation for variety registration — powered by genomic offset data and compliance templates.
Roadmap Q4 2026Score your entire germplasm collection for climate vulnerability. Know your exposure before the climate changes around you.
Roadmap 2027Built for exclusive partnerships. Agriculture is our first sector. Forestry, fisheries, and conservation are next.
We offer exclusive, perpetual licenses by sector.
Agriculture is our first partner. What's yours?
All inquiries are reviewed personally — contact@yourtimeonearth.com
Every prediction draws on four peer-reviewed, publicly documented data sources.
Temperature, precipitation, and 19 bioclimatic variables at 1 km resolution globally. Standard reference dataset for climate modelling worldwide.
Real soil pH at 250 m resolution · 0–30 cm depth · 256,303 land grid cells. Replaces climate-model proxies with directly measured soil chemistry.
Vapor pressure deficit, solar radiation, and soil moisture. GPS-precise at any coordinate globally. No API key required.
982 real barley accessions from 60 countries. Peer-reviewed training dataset with passport data, GPS coordinates, and whole-genome SNP profiles.
