We build the bridge. First vertical: climate-adaptive agriculture. A platform that replaces eight months of field trials with thirty microseconds of mathematics.
The Problem
Every seed variety deployed into a new climate zone requires six to twelve months of field trials. At a cost of €200,000 to €350,000 per trial. Repeated dozens of times per year across geographies, soil types, and seasons.
The result is not knowledge. It is a delayed confirmation of what the mathematics already knew. The genome contains the answer. The climate data contains the answer. The distance between them is a matrix multiplication.
The industry built a calendar around a computation problem and charged accordingly.
The Platform
Redundancy Analysis extracts the axes of genomic variation most constrained by climate. Pre-computed canonical axes reduce prediction to pure matrix multiplication. The result: a confidence-scored genomic offset between any genotype and any target environment — in real time, at scale.
The Science
RDA is a constrained multivariate ordination method that decomposes genomic variation into components explained by environmental predictors. It identifies which allele combinations are under selection by specific climate pressures — without requiring phenotypic observation. Published extensively in Molecular Ecology and Nature Climate Change, and used operationally by UC Davis, CSIC, and other leading institutes.
Standard RDA implementations run as batch scripts: load data, fit model, predict, repeat. YOURTIMEONEARTH separates model fitting from projection permanently. Train once on your germplasm collection. The eigenvalue decomposition is stored. Every subsequent prediction is pure matrix multiplication — an architectural speed gain, not an optimisation-level one. This is why the latency is 0.03 milliseconds, not 0.03 seconds.
Eight independent scientific tests. Cold-adapted genotype evaluated in its native Atlantic climate: offset 0.020, Highly Suitable. Same genotype in a hot, semi-arid environment: offset 0.925, Avoid. Gradient monotonicity confirmed across all twelve Spanish planting locations. Variance explained by the RDA model: 99.98%. Confidence scoring validated against three independent factors: training set size, variance explained, and offset magnitude.
Vision
Every industry has problems that are actually mathematics problems. Field trials are expensive not because biology is complex — but because no one had packaged the mathematics correctly. We did that for agriculture.
The same principle applies everywhere a decision relies on matching a complex object to a complex environment under time pressure. The answer is almost always already in the data. The cost is in the translation.
YOURTIMEONEARTH is building a multi-vertical IP licensing infrastructure. One method. Many industries. Each solution protected, each royalty stream compounding.
About
YOURTIMEONEARTH was registered at age twenty by someone who understood early that time is the only non-renewable resource. The name sat unused for years while the founder learned — in warehouses, in laboratories without walls, in the hours between shifts — what problems were worth solving.
The genomic offset predictor took three years to build. It was built alone, at night, without funding, without a laboratory, without a team. It passed eight independent scientific validation tests. It runs in 0.03 milliseconds. Patent pending.
We are not a startup chasing an exit. We are an IP holding company building the infrastructure that makes expensive problems cheap. The agricultural platform is the first proof of this. It will not be the last.
Contact
We are in active conversations with seed companies, agricultural research institutions, and IP licensing specialists. All inquiries are reviewed personally.
All inquiries are reviewed personally — contact@yourtimeonearth.com