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Cultra — Longitudinal, field-level agronomic measurement corpus: soil, tissue, sap, Haney, PLFA, microbiometer and water-quality assay results ingested from any commercial lab (PDF or CSV), normalised into nine distinct test-type schemas and anchored to digitised field boundaries with computed acreage, spanning arbitrary back-years of history.. Early-stage vertical SaaS — ~8 employees, Chattanooga TN, unfunded on public record, $2,000/yr seats with unlimited fields. High data value per dollar of revenue: the corpus is a geolocated, expert-scored agronomic record that did not previously exist …
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Longitudinal, field-level agronomic measurement corpus: soil, tissue, sap, Haney, PLFA, microbiometer and water-quality assay results ingested from any commercial lab (PDF or CSV), normalised into nine distinct test-type schemas and anchored to digitised field boundaries with computed acreage, spanning arbitrary back-years of history.
Scale est. 10^5-10^6 normalised analyte observationsFrom 20 yearsCoverage Consumer Staples · Information Technology
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Cultra — Longitudinal, field-level agronomic measurement corpus: soil, tissue, sap, Haney, PLFA, microbiometer and water-quality assay results ingested from any commercial lab (PDF or CSV), normalised into nine distinct test-type schemas and anchored to digitised field boundaries with computed acreage, spanning arbitrary back-years of history.. Early-stage vertical SaaS — ~8 employees, Chattanooga TN, unfunded on public record, $2,000/yr seats with unlimited fields. High data value per dollar of revenue: the corpus is a geolocated, expert-scored agronomic record that did not previously exist …
Cultra offers (Alternative, Geospatial, ESG, Fundamental) — est. 10^5-10^6 normalised analyte observations — unlimited fields per seat x multi-year 'full history per field' x nine test schemas x dozens of analytes per report, plus digitised boundary geometry for every operation. Compounding with every upload season..
Precision-agronomy model training and nutrient-response modelling; ML for fertilizer recommendation and deficiency/antagonism detection; geospatial soil-health and carbon-programme baselining; catchment-scale water-quality and nutrient-runoff modelling; verification and MRV for regenerative-agriculture and ecosystem-service credit markets; domain-specific LLM fine-tuning on expert agronomist reasoning chains; soil-microbiome (PLFA, microbiometer) reference datasets.
The data is with 20 years of history.
Coverage spans US; Agricultural Chemicals, Data Processing & Outsourced Services; alternative, geospatial, ESG, fundamental; equities.
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